[{"Link_ID":"iad01","Additional_observations":"Australia has moved to a more centralised energy and GHG data collection framework (NGER). Reporting is now mandated under legislation and is now compulsory for energy users over a certain threshold. These developments have the potential to lead to more informed energy balances and lead to improved policy development. In the short term, significant challenges exist in applying these new data to its existing data set.","Contact":"<a href=\"mailto:energy.statistics@industry.gov.au\">energy.statistics@industry.gov.au</a>","Country":"Australia","Data_collected":"Primary survey data are now collected from the NGER undertaken by the Australian Government Department of Climate Change and Energy Efficiency. Previously the survey was collected internally via ABARE's Fuel &amp; Electricity Survey. Supplemental data related to electricity generation are also collected from the National Electricity Market. Petroleum refining and sales data are collected from a survey undertaken by the Australian Government Department of Resources, Energy &amp; Trade. Other secondary source information relating to industries is used on an ad-hoc basis where appropriate. Economic indicators and production data related to industrial processes are obtained from the Australian Bureau of Statistics.","Data_collection_purpose":"To estimate end-use energy consumption for industry sectors","Main_challenges":"Time-consuming to collect data\r\nNeeded to establish a Memorandum of Understanding with a given organisation\r\nDefinition issues within a sector\r\nA major challenge is to reconcile and harmonise newly collected data with historical time series","Methodology":"Administrative sources","Organisation":"<a href=\"https://www.industry.gov.au/\">Department of Industry, Science, Energy and Resources</a>","Sector":"Industry","Sectors_covered":"All manufacturing sectors","Sources":"<a href=\"http://www.cleanenergyregulator.gov.au/NGER\" title=\"National Greenhouse and Energy Reporting system (NGER)\">National Greenhouse and Energy Reporting system (NGER)</a>�(data used via memorandum of understanding)\r\nNational Electricity Market\r\nDepartment of Resources, Energy &amp; Trade\r\n<a href=\"http://www.abs.gov.au/\" title=\"Australian Bureau of Statistics\">Australian Bureau of Statistics</a>","Title":"Australian Bureau of Resources and Energy Economics (Australia) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":null,"Key_model_inputs":null,"Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":null,"Purpose":null,"Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"iad02","Additional_observations":"This survey is performed only for the Flemish energy balances","Contact":null,"Country":"Belgium","Data_collected":"Supplied electricity and natural gas by the grid providers; per sector and annual energy data from benchmark and audited companies (companies with primary energy consumption higher than 0.1 petajoules [PJ]); installation and energy data on co-generation; renewable electricity installations that receive certificates","Data_collection_purpose":"To prepare energy balances","Main_challenges":"Confidentiality issues","Methodology":"Administrative sources","Organisation":"<a href=\"https://vito.be/en\">Vision on Technology</a>","Sector":"Industry","Sectors_covered":"All manufacturing sectors","Sources":"Energy utilities (gas, oil, electricity, other)\r\nNational or international associations and organisations","Title":"Vision on Technology (Belgium) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":null,"Key_model_inputs":null,"Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":null,"Purpose":null,"Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"iad03","Additional_observations":"Some data are estimated","Contact":null,"Country":"Bosnia and Herzegovina","Data_collected":"Consumption of natural gas, electricity, thermal energy, petroleum and petroleum products by 13 sub-sectors (iron and steel, chemical and petrochemical, non-ferrous metals, non-metallic minerals, transport equipment, machinery, mining and quarrying, food and tobacco, paper pulp and print, wood and wood products, construction, textile and leather, non-specified)","Data_collection_purpose":"To collect energy consumption data by sub-sector","Main_challenges":"Time-consuming to collect data\r\nIn paper format - difficult to transfer to digital format\r\nData were incomplete","Methodology":"Administrative sources","Organisation":"<a href=\"https://www.vladars.net/eng/vlada/ministries/MIEM/Pages/default.aspx\">Ministry of Industry, Energy and Mining of Republic of Srpska</a>","Sector":"Industry","Sectors_covered":"All manufacturing sectors","Sources":null,"Title":"Ministry of Industry, Energy and Mining of Republic of Srpska (Bosnia and Herzegovina) ","Documentation_type":"Report","Available_documentation":"Republic of Srpska Institute of Statistics - <a href=\"http://www.rzs.rs.ba/front/category/7/76/?&amp;add=None\" title=\"Industrial products bulletins\">Industrial products bulletins</a>","Collection_methods":null,"Frequency":null,"Key_model_inputs":null,"Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":null,"Purpose":null,"Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"iad04","Additional_observations":null,"Contact":null,"Country":"Canada","Data_collected":"Fuel use and activity data for industry","Data_collection_purpose":"To derive all energy end-use and physical production data from these external sources","Main_challenges":"High cost to obtain data\r\nNeeded to establish a Memorandum of Understanding with a given organisation","Methodology":"Administrative sources","Organisation":"<a href=\"https://www.nrcan.gc.ca/\">Natural Resources Canada</a>","Sector":"Industry","Sectors_covered":"Aluminium, Cement, Iron and steel, Pulp and paper, Chemicals, Mining, construction, forestry, Other manufacturing sectors","Sources":"<a href=\"https://www150.statcan.gc.ca/n1/en/catalogue/57-003-X\" title=\"Report on Energy Supply and Demand in Canada\">Report on Energy Supply and Demand in Canada</a> (Statistics Canada)\r\n<a href=\"https://www.statcan.gc.ca/eng/survey/business/5047\" title=\"Industrial Consumption of Energy Survey\">Industrial Consumption of Energy Survey</a> (Statistics Canada)\r\n<a href=\"https://cieedacdb.rem.sfu.ca/\" title=\"The Canadian Energy and Emissions Data Centre\">The Canadian Energy and Emissions Data Centre</a>\r\n<a href=\"https://www.nrcan.gc.ca/science-data/data-analysis/mineral-statistics/mineral-production/8850\" title=\"Annual Census of Mines\">Annual Census of Mines</a> (NRCan)\r\nA private consultant (Informetrica)","Title":"Natural Resources Canada (NRCan) (Canada) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":null,"Key_model_inputs":null,"Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":null,"Purpose":null,"Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"iad13","Additional_observations":null,"Contact":"Organisation: <a href=\"http://www.imc-egypt.org/\" title=\"Industrial Modernization Center (IMC) \">Industrial Modernization Center (IMC)</a> / <a href=\"http://www.ida.gov.eg/webcenter/portal/IDA\" title=\"Industrial Development Authority (IDA)\">Industrial Development Authority (IDA)�</a>","Country":"Egypt","Data_collected":null,"Data_collection_purpose":"Industry statistics","Main_challenges":"People may not corporate or give wrong data","Methodology":"Administrative sources","Organisation":"Industrial Modernization Center (IMC) / Industrial Development Authority (IDA)","Sector":"Industry","Sectors_covered":null,"Sources":"Ministry of Trade and Industry, Taxes Authority","Title":"Industrial Modernization Center (IMC) / Industrial Development Authority (IDA) (Egypt) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":"Email, Post","Frequency":"Every 6 months","Key_model_inputs":"Egypt Statistical Annual yearbook, CAPMAS annual report","Mandatory":"1","Sample_sources":"Factories","Survey_respondents":"Industrial Facilities Owners","Who_took_measurements":"Ministry of Industry","Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":null,"Purpose":null,"Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"iad05","Additional_observations":null,"Contact":null,"Country":"Israel","Data_collected":"Energy consumption and transformation data","Data_collection_purpose":"To prepare energy balances and related publications","Main_challenges":null,"Methodology":"Administrative sources","Organisation":"<a href=\"https://www.cbs.gov.il/he/pages/default.aspx\">Central Bureau of Statistics</a>","Sector":"Industry","Sectors_covered":"Pulp and paper","Sources":"Manufacturers","Title":"Central Bureau of Statistics (Israel) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":null,"Key_model_inputs":null,"Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":null,"Purpose":null,"Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"iad06","Additional_observations":null,"Contact":null,"Country":"Italy","Data_collected":"Physical production and electricity consumption for specific products","Data_collection_purpose":"To estimate energy consumption and to elaborate indicators","Main_challenges":"Time-consuming to collect data\r\nConfidentiality of the sources","Methodology":"Administrative sources","Organisation":"<a href=\"https://www.enea.it/en\">Italian National Agency for New Technologies, Energy and Sustainable Economic Development</a>","Sector":"Industry","Sectors_covered":"Iron and steel, Cement","Sources":"Government statistics office\r\nEnergy utilities (gas, oil, electricity, other)","Title":"Italian National Agency for New Technologies, Energy and Sustainable Economic Development (Italy) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":null,"Key_model_inputs":null,"Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":null,"Purpose":null,"Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"iad07","Additional_observations":null,"Contact":null,"Country":"Korea","Data_collected":"Imports; exports; sales; production; stocks of crude oil and final oil products","Data_collection_purpose":"To build national oil supply-and-demand statistics","Main_challenges":"In paper format � difficult to transfer to digital format\r\nDefinition issues within a sector","Methodology":"Administrative sources","Organisation":"<a href=\"http://www.knoc.co.kr/ENG/main.jsp\">Korea National Oil Corporation</a>","Sector":"Industry","Sectors_covered":"All manufacturing sectors","Sources":"Manufacturers","Title":"Korea National Oil Corporation (Korea) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":null,"Key_model_inputs":null,"Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":null,"Purpose":null,"Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"iad08","Additional_observations":"Collaboration with the industry associations is needed to evaluate the process-level energy consumption of the different industry branches","Contact":"<a href=\"mailto:ciudadano@idae.es\">ciudadano@idae.es</a>","Country":"Spain","Data_collected":"<a href=\"http://www.mineco.gob.es/portal/site/mineco?lang_choosen=en\" title=\"Ministry of Economy and Finance\">Ministry of Economy and Finance</a>, <a href=\"http://www.ine.es/\" title=\"Spanish Statistics Office\">Spanish Statistics Office</a>: accounting data, index of industrial production\r\nSectoral associations of most energy-intensive industry branches, such as <a href=\"https://unesid.org/index.php\" title=\"iron, steel\">iron, steel</a>, <a href=\"http://www.aspapel.es/en/the-sector/general-information\" title=\"paper\">paper</a> and <a href=\"https://www.oficemen.com/el-sector/anuario-del-sector-cementero-espanol/\" title=\"cement\">cement</a>: Data on physical production and energy consumption\r\n<a href=\"http://www.minetur.gob.es/en-US/Paginas/index.aspx\" title=\"Ministerio de Industria, Energia y Turismo\">Ministerio de Industria, Energia y Turismo</a>: <a href=\"http://www.minetur.gob.es/energia/balances/Balances/Paginas/Balances.aspx\" title=\"data for energy balances\">data for energy balances</a> (by source and sector)","Data_collection_purpose":"To determine final energy consumption by energy source and industry branch\r\nTo determine unit energy (and electricity) consumption referred to the physical production\r\nTo determine the energy intensity of both the industry sector as a whole and the industry branches","Main_challenges":"Time-consuming to collect data\r\nDefinition issues within a sector\r\nData were incomplete\r\nInformation deficiencies in some sectors\r\nDifferences between the breakdown of the energy consumptions and the NACE classification","Methodology":"Administrative sources","Organisation":"<a href=\"https://www.idae.es/\"> IDAE - Institute for Energy Diversification and Conservation</a>","Sector":"Industry","Sectors_covered":"Iron and steel, Cement, Chemicals, All manufacturing sectors, Pulp and paper","Sources":"Government Statistics Office\r\nEnergy utilities (gas, oil, electricity, other)\r\nNational or international associations and organisations","Title":"IDAE - Institute for Energy Diversification and Conservation (Spain) ","Documentation_type":"Report","Available_documentation":"<a href=\"https://www.idae.es/uploads/documentos/documentos_Intensidades_Energeticas_c1dbdb2f.xlsx\" title=\"Report - Energy Intensities\">Report - Energy Intensities</a>\r\n<a href=\"https://www.idae.es/uploads/documentos/documentos_Indicadores_Detalle_e521b635.xlsx\" title=\"Report - Energy indicators\">Report - Energy indicators</a>\r\n<a href=\"https://www.idae.es/uploads/documentos/documentos_Consumos_e_intensidades_mensuales_2013_db6b27c6.xlsx\" title=\"Report - Energy consumption and indicators\">Report - Energy consumption and indicators</a>","Collection_methods":null,"Frequency":null,"Key_model_inputs":null,"Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":null,"Purpose":null,"Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"iad09","Additional_observations":null,"Contact":null,"Country":"Turkey","Data_collected":"Annual energy consumption by plants consuming over 1 ktoe","Data_collection_purpose":"To verify energy consumption for plants of over 1 kilotonne of oil equivalent (ktoe) driven by the Energy Efficiency Law\r\nTo calculate energy efficiency indicators\r\nTo feed data into energy demand model","Main_challenges":"Time-consuming to collect data\r\nData were incomplete","Methodology":"Administrative sources","Organisation":"General Directorate of Electrical Power Resources Survey and Development Administration","Sector":"Industry","Sectors_covered":"Iron and steel, All manufacturing sectors","Sources":"Manufacturers","Title":"General Directorate of Electrical Power Resources Survey and Development Administration (Turkey) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":null,"Key_model_inputs":null,"Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":null,"Purpose":null,"Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"iad10","Additional_observations":null,"Contact":null,"Country":"United Kingdom","Data_collected":"Process efficiency and power/fuel source","Data_collection_purpose":"To estimate GHG emissions of the aluminium sector through modelling, which is used for life-cycle assessment, and global performance tracking","Main_challenges":"Time-consuming to collect data\r\nTook a long time to establish a relationship with the organisation\r\nDefinition issues within a sector","Methodology":"Administrative sources","Organisation":"<a href=\"https://international-aluminium.org/\">International Aluminium Institute</a>","Sector":"Industry","Sectors_covered":"Aluminium","Sources":"National or international associations and organisations","Title":"International Aluminium Institute (United Kingdom) ","Documentation_type":"Project website","Available_documentation":"Results: <a href=\"https://international-aluminium.org/statistics/metallurgical-alumina-refining-energy-intensity/\" title=\"International Aluminium Institute Statistics\">International Aluminium Institute Statistics</a>","Collection_methods":null,"Frequency":null,"Key_model_inputs":null,"Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":null,"Purpose":null,"Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"iad11","Additional_observations":null,"Contact":"<a href=\"mailto:Energyefficiency.stats@decc.gsi.gov.uk\">Energyefficiency.stats@decc.gsi.gov.uk</a>","Country":"United Kingdom","Data_collected":"Energy suppliers provide data on the amount of energy produced and supplied to final consumers by sector. This is supplemented with data on combined heat and power.","Data_collection_purpose":"To compile the energy balance\r\nTo allocate aggregate energy consumption data into different branches","Main_challenges":null,"Methodology":"Administrative sources","Organisation":"<a href=\"https://www.gov.uk/government/organisations/department-of-energy-climate-change\">Department of Energy and Climate Change</a>","Sector":"Industry","Sectors_covered":"All manufacturing sectors","Sources":"Energy utilities (gas, oil, electricity, other)\r\nManufacturers","Title":"Department of Energy and Climate Change (United Kingdom) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":null,"Key_model_inputs":null,"Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":null,"Purpose":null,"Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"iad12","Additional_observations":"Data quality and comprehensiveness can vary between surveys, depending on funding levels. US DOE data are only issued every four to five years, so there is a considerable lag in the more detailed data from the Manufacturing Energy Consumption Survey which is critical for modelling industrial fuel and end use values.","Contact":null,"Country":"United States","Data_collected":"Statistics on annual energy use by fuel and process; data on GHG emissions and fuel sources for various industries","Data_collection_purpose":null,"Main_challenges":"Time-consuming to collect data\r\nMany data points crossed off due to confidentiality of the sources\r\nIn paper format � difficult to transfer to digital format\r\nDefinition issues within a sector\r\nData were incomplete","Methodology":"Administrative sources","Organisation":"<a href=\"https://www.lbl.gov/\">Lawrence Berkeley National Laboratory</a>","Sector":"Industry","Sectors_covered":"Iron and steel,Cement,Pulp and paper,Other manufacturing sectors","Sources":"Government Statistics Office\r\n<a href=\"https://www.energy.gov/\" title=\"U.S. Department of Energy (DOE)\">U.S. Department of Energy (DOE)</a>\r\n<a href=\"https://www.energy.ca.gov/\" title=\"California Energy Commission\">California Energy Commission</a>\r\n<a href=\"https://ww2.arb.ca.gov/homepage\" title=\"California Air Resources Board\">California Air Resources Board</a>\r\nEnergy utilities (gas, oil, electricity, other)\r\nManufacturers","Title":"Lawrence Berkeley National Laboratory (United States) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":null,"Key_model_inputs":null,"Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":null,"Purpose":null,"Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"ime01","Additional_observations":null,"Contact":null,"Country":"Japan","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":null,"Methodology":"Measuring","Organisation":"Sumitomo Metal Industries Ltd.","Sector":"Industry","Sectors_covered":"Iron and steel","Sources":null,"Title":"Sumitomo Metal Industries Ltd. (Japan) ","Documentation_type":"Report","Available_documentation":"<a href=\"http://www.jisf.or.jp/en/activity/climate/docs/201012.pdf\" title=\"Report\">Report</a>","Collection_methods":null,"Frequency":"Every year","Key_model_inputs":null,"Mandatory":null,"Sample_sources":"List of industry association members","Survey_respondents":null,"Who_took_measurements":"Energy auditors","Elements_collected":"Energy use at various stages of production\r\nHeat generation and heat losses\r\nCombustion process efficiency\r\nProduction volumes by type of product\r\nNon-energy use of feedstocks\r\nEfficiency rating of processes within production flow","Equipment_used":"Current meter (data logger)","Geo_climatic_measurements":"0","Key_best_practice":"Use of latest technology to undertake measurements","Name":"Nippon Keidanren Voluntary Action Programme","Purpose":"To measure energy use at various stages of production within a facility\r\nTo measure non-energy use (e.g. feedstocks) of fuels within a facility\r\nTo optimise fuel utilisation within a facility production process\r\nTo calculate energy efficiency of an industrial process","Recommendations":"Measurements should be made using the same methodology","Sample_design":"All steel producers who agree to submit data.","Sample_Population_size":"Not available","Time_to_complete":"Not available","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"imo01","Additional_observations":"Modelling is an ongoing activity, so cost cannot be estimated.","Contact":null,"Country":"Canada","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Lack of input data\r\nLack of data limits capacity to expand model","Methodology":"Modelling","Organisation":"<a href=\"https://www.nrcan.gc.ca/\">Natural Resources Canada</a>","Sector":"Industry","Sectors_covered":"Aluminium, Iron and steel, Cement, Pulp and paper, Chemicals, Mining, construction, forestry, Other manufacturing sectors","Sources":null,"Title":"Natural Resources Canada (Canada) ","Documentation_type":"Results","Available_documentation":"Results: <a href=\"https://oee.nrcan.gc.ca/corporate/statistics/neud/dpa/menus/trends/comprehensive/trends_agg_ca.cfm\" title=\"Comprehensive Energy End-Use Database - Industrial Sector\">Comprehensive Energy End-Use Database - Industrial Sector</a>\r\nResults: <a href=\"https://oee.nrcan.gc.ca/publications/statistics/handbook2010/handbook2013.pdf\" title=\"Energy Use Data Handbook\">Energy Use Data Handbook</a>","Collection_methods":null,"Frequency":"Every year","Key_model_inputs":"Historical production volume in a given industry\r\nHistorical energy prices\r\nIndustry production output assumptions\r\nIndustrial fuel consumption\r\nEnergy conversion factors\r\nGHG emissions factors","Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"Industrial Energy End-Use Model","Purpose":"To estimate total energy use for a given industry\r\nTo estimate energy efficiency of a given industry\r\nTo calculate GHG emissions from a given industry sector","Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":"Energy efficiency of a given industry\r\nTotal energy use for a given industry\r\nGHG emissions from a given industry sector","Model_type":"Bottom-up statistical model \r\nThe modelling tool was developed in-house and undergoes continuous improvements to take into account new or improved data","Results_validated":"Yes: Report on Energy Supply and Demand in Canada, Industrial Consumption of Energy Survey, Canada's Greenhouse Gas Inventory","Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"imo02","Additional_observations":null,"Contact":null,"Country":"Croatia","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":null,"Methodology":"Modelling","Organisation":"<a href=\"http://www.eihp.hr/?lang=en\">Energy Institute Hrvoje Pozar</a>","Sector":"Industry","Sectors_covered":"Aluminium, Iron and steel, Cement, Pulp and paper, Chemicals, Other manufacturing sectors","Sources":null,"Title":"Energy Institute Hrvoje Pozar (Croatia) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":"Only conducted once","Key_model_inputs":"Detailed industrial process flows\r\nHistorical production volume in a given industry","Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"End-use modelling (MAED, MDEE)","Purpose":"To estimate energy use at various stages of production within a facility\r\nTo estimate total energy use for a given industry\r\nTo calculate GHG emissions from a given industry sector\r\nTo complement an existing survey or data collection effort with energy consumption trends","Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":"Detailed industrial energy consumption\r\nEnergy use and energy efficiency of a facility\r\nIndustry growth projections\r\nTotal energy use for a given industry\r\nGHG emissions from a given industry sector\r\nTechnology evolution and diffusion within an industry","Model_type":"Bottom-up engineering model\r\nCustom-built model","Results_validated":"Yes: calibration with energy balances","Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"imo03","Additional_observations":"For the time being, no published model documentation is available. Some of the reports that use the model are confidential, but some examples of model applications could be provided on demand.","Contact":"<a href=\"https://www.forecast-model.eu/forecast-en/kontakt/index.php\" title=\"Contact form\">Contact form</a>","Country":"Germany","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Lack of input data\r\nQuality control issues with input data","Methodology":"Modelling","Organisation":"<a href=\"https://www.isi.fraunhofer.de/en.html\">Fraunhofer Institute for Systems and Innovation Research</a>","Sector":"Industry","Sectors_covered":"Aluminium, Cement, Iron and steel, Chemicals, Pulp and paper, Other manufacturing sectors","Sources":null,"Title":"Fraunhofer Institute for Systems and Innovation Research (Germany) ","Documentation_type":"Methodology, Report","Available_documentation":"Project website: <a href=\"https://www.forecast-model.eu/forecast-en/index.php\" title=\"FORECAST model\">FORECAST model</a>\r\n<a href=\"https://www.sciencedirect.com/science/article/pii/S036054421200120X\" title=\"Report - Energy efficiency in the German pulp and paper industry - A model-based assessment of saving potentials\">Report - Energy efficiency in the German pulp and paper industry - A model-based assessment of saving potentials</a>\r\n<a href=\"https://iea.blob.core.windows.net/assets/c64f95ec-4bd9-49e7-89fe-dbc7070e0d15/Impactofenergyandclimatepoliciesuntil2030adetailedbottomupmodelling.pdf\" title=\"\">Impact of energy and climate policies until 2030, a detailed bottom-up modelling\r approach </a>\n<a href=\"https://iea.blob.core.windows.net/assets/c64f95ec-4bd9-49e7-89fe-dbc7070e0d15/eceee2011_EnergySavingPotentialsInEnergyIntensiveindustriesInGermany.pdf\" title=\"Report - Where are the promising energy-efficient technologies? A comprehensive analysis of the German energy-intensive industries\">Report - Where are the promising energy-efficient technologies? A comprehensive analysis of the German energy-intensive industries</a>","Collection_methods":null,"Frequency":"Every year","Key_model_inputs":"Aggregate representation of an industrial process\r\nHistorical production volume in a given industry\r\nTechnology and/or process evolution assumptions\r\nHistorical technology and/or process cost\r\nHistorical energy prices\r\nIndustry production output assumptions\r\nIndustry growth rate and other macroeconomic assumptions","Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"The model is mostly applied to the EU-27 member states plus Norway and Switzerland. It calculates on a country level and breaks down industrial energy demand by industrial process and country. This is far more detailed than any other official energy balance provides.\r\nThe model shows a very high degree of technology details, not only for process-specific technologies but also for cross-cutting technologies\r\nAlthough being a bottom-up engineering model, it considered investment costs and energy prices that allow estimating costs of policies\r\nThe model also allows estimation of the cost effect of the EU emissions trading scheme","Name":"FORECAST-Industry (former name ISIndustry)","Purpose":"To estimate total energy use for a given industry\r\nTo estimate energy efficiency of a given industry\r\nTo calculate GHG emissions from a given industry sector\r\nTo evaluate technology evolution and diffusion in a given industry sector\r\nTo assess economic policies","Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":"Energy efficiency of a given industry\r\nTotal energy use for a given industry\r\nGHG emissions from a given industry sector\r\nTechnology evolution and diffusion within an industry\r\nImpact of policies and regulations on energy efficiency of an industry\r\n�","Model_type":"Bottom-up engineering model\r\nCustom-built model","Results_validated":"Yes: historical data on energy demand by industrial sector were used to calibrate the bottom-up calculations of energy demand","Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"imo04","Additional_observations":null,"Contact":null,"Country":"Mexico","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Lack of input data","Methodology":"Modelling","Organisation":"<a href=\"https://www.gob.mx/sener\">Ministry of Energy</a>","Sector":"Industry","Sectors_covered":"Pulp and paper, Cement","Sources":null,"Title":"Ministry of Energy (Mexico) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":"Every year","Key_model_inputs":"Historical production volume in a given industry\r\nIndustry growth rate and other macroeconomic assumptions\r\nTotal energy consumption by industry provided by the survey","Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"Given the lack of resources, it is very important to be innovative and make the most of what is available","Name":"Energy consumption in the industry sector","Purpose":"To estimate total energy use for a given industry","Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":"Total energy use for a given industry","Model_type":"Top-down econometric model. This approach was used to complete the information we obtained from the surveys. The model was developed with Eviews software.","Results_validated":"Yes: Official total industry energy consumption data are calibrated with the data obtained through this exercise. In addition, industry associations review the data.","Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"imo05","Additional_observations":"The model attempts to estimate the energy use of small manufacturing facilities with fewer than ten employees.","Contact":null,"Country":"Sweden","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":null,"Methodology":"Modelling","Organisation":"<a href=\"http://www.energimyndigheten.se/en/\">Swedish Energy Agency</a>","Sector":"Industry","Sectors_covered":"All manufacturing sectors","Sources":null,"Title":"Swedish Energy Agency (Sweden) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":"Every year","Key_model_inputs":null,"Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":null,"Purpose":"To estimate total energy use for a given industry\r\nTo calculate GHG emissions from a given industry sector\r\nTo assess economic policies\r\nTo complement an existing survey or data collection effort with energy consumption trends","Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":"Total energy use for a given industry","Model_type":"Top-down econometric model\r\nCustom-built model","Results_validated":"No","Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"imo06","Additional_observations":null,"Contact":null,"Country":"Switzerland","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Choice of assumptions\r\nData availability and quality","Methodology":"Modelling","Organisation":"<a href=\"https://gccassociation.org/\">Global Cement and Concrete Association (former Cement Sustainability Initiative)</a>","Sector":"Industry","Sectors_covered":"Cement","Sources":null,"Title":"Global Cement and Concrete Association (former Cement Sustainability Initiative) (Switzerland) ","Documentation_type":"Report","Available_documentation":"Report: <a href=\"https://iea.blob.core.windows.net/assets/ea00c1ba-9b2a-4743-866a-cee1930c604f/SectoralApproachGHGMitigationInCementIndustry.pdf\" title=\"\">A Sectoral Approach: GHG mitigation in the cement industry</a><a href=\"http://www.wbcsdcement.org/pdf/WBCSD%20rev%20final%20low.pdf\" title=\"A Sectoral Approach: GHG mitigation in the cement industry\"></a>","Collection_methods":null,"Frequency":"Only conducted once","Key_model_inputs":"Technology and capacity information on cement production facilities\r\nProduction and investment costs\r\nCement demand by region over time\r\nTransportation costs\r\nAvailability and cost of blending materials and fuel/electricity\r\nCO2 constraints and prices","Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"Sectoral Approach: GHG mitigation in the cement industry","Purpose":"To estimate GHG emissions from cement production\r\nTo develop policy measures to mitigate the emissions","Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":"GHG emissions from a given industry sector","Model_type":"Bottom-up statistical model\r\nCustom-built model","Results_validated":"Yes: peer review of the model","Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"imo07","Additional_observations":"The analysis of energy consumption by end use is based on the models developed for the energy perspectives. Fifteen years of experience and annual model runs have helped to increase the number of inputs in all fields of data sources.","Contact":null,"Country":"Switzerland","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Lack of input data\r\nIncluding new trends whenever possible","Methodology":"Modelling","Organisation":"<a href=\"https://www.bfe.admin.ch/bfe/en/home.html\">Swiss Federal Office of Energy; Prognos AG</a>","Sector":"Industry","Sectors_covered":"All manufacturing sectors","Sources":null,"Title":"Swiss Federal Office of Energy; Prognos AG (Switzerland) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":"Every year","Key_model_inputs":"Fuel-switching assumptions\r\nIndustry production output assumptions\r\nExtrapolation factors and specific consumption factors of 207 production processes in 16 branches such as energy reference area, energy prices, valued added, number of employees and workplaces, HDD and radiation, etc.","Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"Industry Energy Consumption Model","Purpose":"To estimate industry energy consumption in general, by end use and by determinant factors. The basic model was developed for energy perspectives, but also serves for the ex post analysis of energy consumption by end use and by determinant factors. The model is calibrated to the Swiss energy balances. Adding statistics (inputs) of the actual year allows getting output in form of end-use data.","Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":"Industry energy consumption in general, by end use and by determinant factors","Model_type":"Bottom-up energy-economic model, close to bottom-up engineering model, but using further inputs. The model is mainly based on administrative data (Federal Office of Statistics, Federal Office of Energy, etc.) but also uses data from utilities, manufacturers and national associations.","Results_validated":"Yes: calibration with Swiss energy statistics; cross-check with energy consumption statistics in the industry and services sectors (survey of 12 000 companies)","Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"imo08","Additional_observations":null,"Contact":null,"Country":"United States","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Lack of input data\r\nQuality control issues with input data\r\nLack of good model documentation","Methodology":"Modelling","Organisation":"<a href=\"https://www.lbl.gov/\">Lawrence Berkeley National Laboratory</a>","Sector":"Industry","Sectors_covered":"Iron and steel, Cement, Pulp and paper, Other manufacturing sectors","Sources":null,"Title":"Lawrence Berkeley National Laboratory (United States) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":"No regular survey cycle","Key_model_inputs":"Aggregate representation of an industrial process\r\nFuel-switching assumptions\r\nTechnology and/or process evolution assumptions\r\nIndustry production output assumptions\r\nIndustry growth rate and other macroeconomic assumptions","Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"Inclusion of existing and emerging industrial technologies, discrete representation of process and cross-cutting (e.g., motors, pumps, steam) technologies, levelised costs normalized to consistent reference year, projections through 2050","Name":"Estimation of energy efficiency potential for various industries","Purpose":"To estimate energy use at various stages of production within a facility\r\nTo estimate energy efficiency of facility processes at various stages of production\r\nTo estimate total energy use for a given industry\r\nTo estimate energy efficiency of a given industry\r\nTo calculate GHG emissions from a given industry sector","Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":"Energy efficiency of a given industry\r\nIndustry growth projections\r\nTotal energy use for a given industry\r\nGHG emissions from a given industry sector","Model_type":"Bottom-up engineering model\r\nCustom-built model","Results_validated":"No","Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"isu01","Additional_observations":null,"Contact":"<a href=\"mailto:client.services@abs.gov.au\">client.services@abs.gov.au</a>","Country":"Australia","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Inconsistent responses\r\nResponse quality","Methodology":"Surveying","Organisation":"<a href=\"https://www.abs.gov.au/\">Australian Bureau of Statistics</a>","Sector":"Industry","Sectors_covered":null,"Sources":null,"Title":"Australian Bureau of Statistics (Australia) ","Documentation_type":"Report","Available_documentation":"Results: <a href=\"https://www.abs.gov.au/ausstats/abs@.nsf/Products/4660.0~2008-09~Main+Features~Summary?OpenDocument\" title=\"Energy, Water and Environmental Management, 2008-09\">Energy, Water and Environmental Management, 2008-09</a>\r\nResults: <a href=\"https://www.abs.gov.au/AUSSTATS/abs@.nsf/Lookup/4660.0Main+Features12014-15\" title=\"Energy Use, Electricity Generation and Environmental Management\">Energy Use, Electricity Generation and Environmental Management</a>","Collection_methods":"Paper form sent by mail\r\nPersonal interview (testing)","Frequency":"Every three years","Key_model_inputs":null,"Mandatory":"1","Sample_sources":"Australian Business Register (maintained by Australian Tax Office)","Survey_respondents":"Businesses as defined in sectors covered","Who_took_measurements":null,"Elements_collected":"Total energy consumption of a facility\r\nEnergy sources","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"Energy, Water and Environment Survey","Purpose":"To track energy consumption of the industry over time\r\nTo track industry's physical output over time","Recommendations":"Higher level of data confrontation, improved clarity, detail of �other fuels� question through more targeted field testing","Sample_design":"Stratified random sampling approach","Sample_Population_size":"14 400 / 1 001 000","Time_to_complete":"118 minutes","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"A fine","Population_description":"This survey shares a common sample with the ABS annual Economic Activity Survey. The Economic Activity Survey is used to derive estimates of the economic and financial performance of Australian industry and results were published in Australian Industry, 2008-09. The businesses that contribute to the statistics in this publication are classified: by institutional sector, in accordance with the Standard Institutional Sector Classification of Australia, which is detailed in Standard Economic Sector Classifications of Australia by industry, in accordance with ANZSIC by business size.","Response_rate":"89%","End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"isu02","Additional_observations":null,"Contact":null,"Country":"Austria","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Low response rate\r\nInconsistent responses\r\nResponse quality","Methodology":"Surveying","Organisation":"<a href=\"http://www.statistik.at/web_en/statistics/index.html\">Statistics Austria</a>","Sector":"Industry","Sectors_covered":"Other manufacturing sectors, Aluminium, Iron and steel, Cement, Pulp and paper, Chemicals","Sources":null,"Title":"Statistics Austria (Austria) ","Documentation_type":"Questionnaire, Methodology","Available_documentation":"<a href=\"https://iea.blob.core.windows.net/assets/809fd5e0-ffb0-4dbe-9b44-f8ff7485ccf4/Energy_Consumption_of_Small_to_Medium_sized_Establishments_in_Manufacturing_Industries.pdf\" title=\"Austria industry survey document\">Meta information (includes sample questionnaire)</a>","Collection_methods":"Paper form sent by mail\r\nInternet based","Frequency":"Every two years","Key_model_inputs":null,"Mandatory":"0","Sample_sources":"Business register","Survey_respondents":"Establishments","Who_took_measurements":null,"Elements_collected":"Total energy consumption of a facility\r\nEnergy use by type of end use","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"Small and simple questionnaire (only one A4 page) to increase the response rate, including both quantities and monetary values for a cross-reference, the online version of the questionnaire including automated checks. Inconsistent and incomplete questionnaires cannot be submitted (e.g. electricity and at least one fuel for space heating have to be filled in).","Name":"Energy consumption of small and medium-sized enterprises in the industry","Purpose":"To track energy consumption of the industry over time\r\nTo complement another data collection initiative","Recommendations":"Larger sample, face-to-face interview","Sample_design":"Stratified random sampling approach","Sample_Population_size":"3 000 / 30 041","Time_to_complete":"Not available","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"None","Population_description":"Small and medium-sized industrial establishments with more than three employees and not included in the sample of the Material Input Statistics","Response_rate":"28%","End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"isu04","Additional_observations":null,"Contact":null,"Country":"Belgium","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Incomplete survey\r\nRespect deadline to provide data","Methodology":"Surveying","Organisation":"<a href=\"http://www.ceced.org/\">European Committee of Domestic Equipment Manufacturers (CECED)</a>","Sector":"Industry","Sectors_covered":null,"Sources":null,"Title":"European Committee of Domestic Equipment Manufacturers (CECED) (Belgium) ","Documentation_type":"Questionnaire","Available_documentation":"<a href=\"https://iea.blob.core.windows.net/assets/aab727e3-b1b7-4dca-a3b9-9250a166c757/Data_Collected_by_CECED.pdf\" title=\"Data collected from appliance manufacturers\">Data collected from appliance manufacturers</a>","Collection_methods":"Paper form sent by mail","Frequency":"Every year","Key_model_inputs":null,"Mandatory":"0","Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":"Energy use by type of end use","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"The innovative idea was to involve all members of the association in the data collection. Covering the cost of their participation can give value to all the participants.","Name":"Energy label data","Purpose":"To track energy consumption of the industry over time\r\nTo set industry energy efficiency benchmarks\r\nTo track industry's physical output over time\r\nTo evaluate effectiveness of programmes and policies","Recommendations":"Getting more participants and having a faster data delivery.","Sample_design":"Census","Sample_Population_size":"Not available","Time_to_complete":"16 hours","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"None","Population_description":"All companies directly associated with CECED","Response_rate":"100%","End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"isu05","Additional_observations":null,"Contact":null,"Country":"Belgium","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Incomplete survey\r\nInconsistent responses\r\nResponse quality","Methodology":"Surveying","Organisation":"<a href=\"https://www.cepi.org/\">Confederation of the European Paper Industry</a>","Sector":"Industry","Sectors_covered":"Pulp and paper","Sources":null,"Title":"Confederation of the European Paper Industry (Belgium) ","Documentation_type":"Questionnaire","Available_documentation":"<a href=\"https://iea.blob.core.windows.net/assets/03d9195b-c786-4c57-9576-5458b80d6285/CEPI_2010_Environment_Questionnaire.xls\" title=\"CEPI Survey questionnaire\">Survey questionnaire</a>","Collection_methods":"Questionnaire in electronic format sent by email","Frequency":"Every year","Key_model_inputs":null,"Mandatory":"0","Sample_sources":null,"Survey_respondents":"Operating facilities of the national associations","Who_took_measurements":null,"Elements_collected":"Total energy consumption of a facility\r\nProduction volumes by type of product\r\nEnergy sources\r\nNon-energy use (e.g. feedstocks)","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"Common understanding and definitions through harmonisation","Name":"Annual Statistic Questionnaire","Purpose":"To track energy consumption of the industry over time\r\nTo track industry's physical output over time\r\nTo identify type of energy used, emissions, raw materials used","Recommendations":"Structured content, fewer revisions, decreasing time to complete the survey","Sample_design":"Census","Sample_Population_size":"19 / 19","Time_to_complete":"60 minutes","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"Free access to the statistics for the members and annual reports.","Population_description":"Industrial plants for the production of pulp from timber or other fibrous materials; paper and board","Response_rate":"95%","End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"isu06","Additional_observations":null,"Contact":null,"Country":"Belgium","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Low participation\r\nBoundaries and definitions\r\nComplex questionnaire","Methodology":"Surveying","Organisation":"<a href=\"https://www.worldsteel.org/\">World Steel Association</a>","Sector":"Industry","Sectors_covered":"Iron and steel","Sources":null,"Title":"World Steel Association (Belgium) ","Documentation_type":"Questionnaire","Available_documentation":"<a href=\"https://iea.blob.core.windows.net/assets/1030ee6c-b191-4a6c-8ba0-f2232c3eeec3/WSA_Questionnaire_Final642010.xls\" title=\"World Steel Association Survey Questionnaire\">Survey questionnaire</a>","Collection_methods":"Internet based\r\nTelephone interview","Frequency":"No regular survey cycle","Key_model_inputs":null,"Mandatory":"0","Sample_sources":null,"Survey_respondents":"Operating facility","Who_took_measurements":null,"Elements_collected":"Energy use at various stages of production\r\nTotal energy consumption of a facility","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"Using MS Excel with macros since it is easier to learn how to complete the survey via Excel, which also provides simple and transparent data tracing and detects errors easily","Name":"Energy use in steelmaking","Purpose":"To track energy consumption of the industry over time\r\nTo derive energy intensity (energy per unit of production) for all upstream processes developed in-house","Recommendations":"Reduce redundant information requests or make it at a higher level","Sample_design":"Members of the association who participate voluntarily","Sample_Population_size":"45 / 108","Time_to_complete":"6 hours","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"None","Population_description":"All steel-producing members covering about 50% of the global production","Response_rate":"35%","End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"isu03","Additional_observations":null,"Contact":null,"Country":"Belgium","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":null,"Methodology":"Surveying","Organisation":"<a href=\"https://vito.be/en\">Vision on Technology</a>","Sector":"Industry","Sectors_covered":"All manufacturing sectors","Sources":null,"Title":"Vision on Technology (Belgium) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":"Paper form sent by mail\r\nInternet based","Frequency":"Every year","Key_model_inputs":null,"Mandatory":"0","Sample_sources":"List of addresses","Survey_respondents":"Operating facility","Who_took_measurements":null,"Elements_collected":"Total energy consumption of a facility\r\nEnergy sources\r\nNon-energy use (e.g. feedstocks)","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"Yearly energy consumption for the Flemish energy balance","Purpose":"To track energy consumption of the industry over time","Recommendations":null,"Sample_design":"A repeating panel of respondents that has been interviewed previously for other surveys","Sample_Population_size":"2 000","Time_to_complete":"Not available","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"None","Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"isu07","Additional_observations":null,"Contact":null,"Country":"Bosnia and Herzegovina","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Incomplete survey\r\nResponse quality","Methodology":"Surveying","Organisation":"<a href=\"https://www.vladars.net/eng/vlada/ministries/MIEM/Pages/default.aspx\">Ministry of Industry, Energy and Mining of Republic of Srpska</a>","Sector":"Industry","Sectors_covered":"All manufacturing sectors","Sources":null,"Title":"Ministry of Industry, Energy and Mining of Republic of Srpska (Bosnia and Herzegovina) ","Documentation_type":"Questionnaire","Available_documentation":"<a href=\"http://www.vladars.net/sr-SP-Cyrl/Vlada/Ministarstva/mper/std/Pages/Obrasci_za_energetski_bilans.aspx\" title=\"Energy balance related questionnaires\">Energy balance related questionnaires</a>\r\n<a href=\"http://www.vladars.net/sr-SP-Cyrl/Vlada/Ministarstva/mper/std/Documents/Obrazac%20EPo.pdf\" title=\"Questionnaire for electricity consumers\">Questionnaire for electricity consumers</a>\r\n<a href=\"https://iea.blob.core.windows.net/assets/0953b6ee-67d0-4215-8a6c-e6c0da26fbfc/BiH_electricity_survey_Form_EPo.xls\" title=\"Bosnia &amp; Herzegovina Electricity survey questionnaire\">Questionnaire for electricity consumers (English)</a>\r\n<a href=\"http://www.vladars.net/sr-SP-Cyrl/Vlada/Ministarstva/mper/std/Documents/Obrazac%20NPot.xls\" title=\"Questionnaire for petroleum products consumers\">Questionnaire for petroleum products consumers</a>\r\n<a href=\"https://iea.blob.core.windows.net/assets/0953b6ee-67d0-4215-8a6c-e6c0da26fbfc/BiH_oil_survey_Form_NPot.xls\" title=\"Bosnia &amp; Herzegovina oil survey questionnaire\">Questionnaire for petroleum products consumers (English)</a>","Collection_methods":"Paper form sent by mail\r\nInternet based\r\nTelephone interview","Frequency":"Every year","Key_model_inputs":null,"Mandatory":"1","Sample_sources":null,"Survey_respondents":"Operating facility, utility company, engineering group, accounting firm","Who_took_measurements":null,"Elements_collected":"Total energy consumption of a facility\r\nEnergy sources","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":null,"Purpose":"To track energy consumption of the industry over time","Recommendations":null,"Sample_design":"According to certain characteristics","Sample_Population_size":"Not available","Time_to_complete":"Not available","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"None","Population_description":null,"Response_rate":"90%","End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"isu10","Additional_observations":null,"Contact":null,"Country":"Bosnia and Herzegovina","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Incomplete survey\r\nInconsistent responses\r\nResponse quality","Methodology":"Surveying","Organisation":"<a href=\"http://www.eihp.hr/?lang=en\">Energy Institute Hrvoje Pozar</a>","Sector":"Industry","Sectors_covered":"Aluminium, Iron and steel, Cement, Pulp and paper, Chemicals, Other manufacturing sectors","Sources":null,"Title":"Energy Institute Hrvoje Pozar (Bosnia and Herzegovina) ","Documentation_type":"Report","Available_documentation":"<a href=\"https://iea.blob.core.windows.net/assets/02b06c46-0e05-446c-aaf8-689a5c8e60fd/BiH_Energy_sector_study.pdf\" title=\"\">Energy Sector Study BiH</a>","Collection_methods":"On-site interviewing","Frequency":"Only conducted once","Key_model_inputs":null,"Mandatory":null,"Sample_sources":"List from tax agency (e.g. municipal, regional), list of addresses","Survey_respondents":"Utility companies","Who_took_measurements":null,"Elements_collected":"Total energy consumption of a facility\r\nEnergy use at various stages of production\r\nEnergy use by type of end use\r\nEnergy sources\r\nNon-energy use (e.g. feedstocks)\r\nAge of the system/equipment","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"Energy consumption survey in Bosnia and Herzegovina","Purpose":"To track energy consumption of the industry over time\r\nTo set industry energy efficiency benchmarks\r\nTo complement another data collection initiative","Recommendations":"Carrying out the survey by experienced market research companies","Sample_design":"Selection of the largest energy consumers whose total consumption amounts to 85% of total industry energy consumption (taking into account electricity and natural gas consumption)","Sample_Population_size":"900 / 12 000","Time_to_complete":"90 minutes","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":"90%","End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"isu38","Additional_observations":"The Kick-off is on January, in the very beginning of each year and we follow up so that it is filled in by the half of second semester, in general on September of each year","Contact":"<a href=\"mailto:flavio.almeida@epe.gov.br\">flavio.almeida@epe.gov.br</a>","Country":"Brazil","Data_collected":"Energy consumption, energy production, aggregated physical production","Data_collection_purpose":"Collect data from the industrial subsector of Pulp and Paper","Main_challenges":"In general, the main challenges applied are: i) to keep brazilian institutions that provide data engaged with this work; ii) improve online data collection in industry; iii) promote best link between energy efficiency policies and indicators evaluation; iv) obtain more disaggregated data for Pulp production and Paper production; v) benchmarking analysis must take into account countries with similar production profiles.","Methodology":"Surveying","Organisation":"<a href=\"https://www.epe.gov.br/en\">Brazilian Energy Research Office (EPE)</a>","Sector":"Industry","Sectors_covered":"Pulp and paper","Sources":"Data concerning electricity come from administrative sources, they are the Federal Electricity Regulator (ANEEL) for Installed Capacity, the Chamber of Electric Energy Commercialization (CCEE) and the National Electric System Operator (ONS) for electricity generation in this sector (pulp and paper) and the Brazilian Energy Office (EPE) for electricity consumption, which is provided on a survey system called �SIMPLES�. EPE applies a data survey directly with the industrial plants aiming to gauge the sector�s specific consumption Indicators for time series analysis and eventual adjustments. Data on the sector�s physical production come from the institution responsible for the Pulp and paper segment in Brazil, the Brazilian Tree Institute (Ib�).","Title":"EPE - Brazilian Energy Research Office","Documentation_type":"Results, Documentation","Available_documentation":"<a href=\"https://www.epe.gov.br/sites-pt/publicacoes-dados-abertos/publicacoes/PublicacoesArquivos/publicacao-651/Atlas2021_EN_2022_02_04.pdf\">Atlas of Energy Efficiency Brazil | 2021 � Indicators Report</a>, <a href=\"https://www.epe.gov.br/sites-en/publicacoes-dados-abertos/publicacoes/PublicacoesArquivos/publicacao-234/Pulp%20and%20paper_EPE+IEA_ENGLISH_2022_01_25_IBA.pdf\">Pulp and Paper Industry in Brazil and in the World � An overview</a>, <a href=\"https://www.epe.gov.br/sites-pt/publicacoes-dados-abertos/publicacoes/PublicacoesArquivos/publicacao-578/BEN%20_%20Manual%202022.pdf\">Methodological Manual of the Brazilian Energy Balance (only in Portuguese)</a>, <a href=\"https://www.epe.gov.br/sites-pt/publicacoes-dados-abertos/publicacoes/PublicacoesArquivos/publicacao-314/topico-407/PRODUTO%204_Vpublicacao.pdf\">Analysis of Energy Efficiency in selected industrial segments � Pulp and paper (only in Portuguese)</a>","Collection_methods":"On-line data gathering","Frequency":"Every year","Key_model_inputs":null,"Mandatory":"0","Sample_sources":"Online survey designed �in-the-house� and applied by EPE","Survey_respondents":"Integrated and non-integrated plants of Pulp and paper in Brazil","Who_took_measurements":null,"Elements_collected":"Energy consumption, energy production, physical production and energy prices","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"Try to keep the sector engaged by showing good representation in Brazilian government documents. The relationship with the industrial representatives should be based on transparency that there will be no imposition in terms of regulatory targets based on data provided by the industry.","Name":"Empresa de Pesquisa Energ�tica","Purpose":null,"Recommendations":"Recommendations are basically applied to overcome the challenges identified, so they may be, in the same order, the following:\n i) make institutions part of the process, creating with them the consciousness of belonging to brazilian energy statistics reports;\n ii) contact more associations and strength the relationship with the partners;\n iii) bring the institutions that deal with energy efficiency policies to discuss together the best measures to evaluate energy efficiency improvements;\n iv) discuss with the pulp and paper association aiming to improve data gathering and data quality;\n v) adjust brazilian data sources to international benchmarking, considering the same granularity whenever it is possible.","Sample_design":"The survey is designed from the CNAE (brazilian correspondence to ISIC) companies informed on the CNPJ registration, which indicates the sector of pulp and paper.","Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"In general, we contact the associations and present their participation on the data survey as na opportunity to be part of the official energy statistics of the brazilian government. The incentive lies in the possibility of the specific sector to be well represented in the Brazilian Energy Balance, the official energy statistics of the brazilian government.","Population_description":"In general the respondents correspond to 80% of pulp production and 50% of paper production, which make the survey representative. It is important to highlight that the survey is not applied necessarily to get the data for energy consumption time series, its aim is to get relevant technical parameters for energy efficiency benchmarks like specific consumption, for example. In terms of sample and population, our registry concerns around 80 plants distributed among different segments of pulp and paper industry sector.","Response_rate":"Around 80% for pulp and 50% for paper","End_uses_covered":"Final energy consumption only","Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"isu09","Additional_observations":null,"Contact":null,"Country":"Canada","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Low response rate\r\nIncomplete survey\r\nResponse quality","Methodology":"Surveying","Organisation":"<a href=\"https://www.fpac.ca/\">Forest Products Association of Canada (FPAC)</a>","Sector":"Industry","Sectors_covered":"Pulp and paper","Sources":null,"Title":"Forest Products Association of Canada (FPAC) (Canada) ","Documentation_type":"Questionnaire, Report","Available_documentation":"<a href=\"https://iea.blob.core.windows.net/assets/66896218-a5c4-475e-a3d1-d85373bdca2f/FPAC_Energy_Survey_for_Pulp_and_Paper_2010.pdf\" title=\"FPAC pulp and paper energy survey questionnaire\">FPAC pulp and paper energy survey - questionnaire</a>\r\n<a href=\"https://iea.blob.core.windows.net/assets/66896218-a5c4-475e-a3d1-d85373bdca2f/FPAC_Energy_Survey_HelpDocument.pdf\" title=\"FPAC pulp and paper energy survey help and guidance\">FPAC pulp and paper energy survey - help and guidance</a>\r\n<a href=\"https://iea.blob.core.windows.net/assets/66896218-a5c4-475e-a3d1-d85373bdca2f/FPAC_2014_Energy_benchmarking_Sample.pdf\" title=\"\">FPAC pulp and paper energy survey - benchmarking report sample</a>","Collection_methods":"Internet based","Frequency":"Every year","Key_model_inputs":null,"Mandatory":"0","Sample_sources":"Internal database updated via industry input, sector directories and company websites","Survey_respondents":"Operating facility","Who_took_measurements":null,"Elements_collected":"Total energy consumption of a facility\r\nEnergy use at various stages of production\r\nProduction volumes by type of product\r\nEnergy sources","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"Survey is Internet based, which is accessible to multiple users per participating facility. This platform also partially optimises the quality assurance work and data analysis.","Name":"FPAC Pulp and Paper Sector Energy Survey","Purpose":"To track energy consumption of the industry over time\r\nTo determine process efficiencies within an industry\r\nTo calculate GHG emissions","Recommendations":"Quality assurance and quality control should be conducted to ensure highly reliable data","Sample_design":"Census","Sample_Population_size":"100 / 100","Time_to_complete":"20 minutes","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"Non-cash incentives","Population_description":"All mills producing primary pulp and paper products (excludes converting facilities)","Response_rate":"75%","End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"isu34","Additional_observations":null,"Contact":null,"Country":"Canada","Data_collected":"Electricity supply and demand, exports imports; utilities electricity deliveries by customer class.","Data_collection_purpose":null,"Main_challenges":"Inconsistent responses; challenges in reconciling annual data from AELE with monthly data from MELE; challenges in getting optimal coverage for electricity from non-hydro renewable sources (wind, solar), challenge in accurate picture of electricity disposition by type of end users; challenge in reconciling gross and net electricity generation.","Methodology":"Surveying","Organisation":"<a href=\"https://www.statcan.gc.ca/\">Statistics Canada</a>","Sector":"Industry","Sectors_covered":null,"Sources":"Provincial energy regulators: Ontario Energy Board (OEB), Ontario�s Independent Electricity System Operator (IESO), Alberta Electric system Operator (AESO)","Title":"Statistics Canada (Canada) ","Documentation_type":"Project website, Methodology","Available_documentation":"<a href=\"https://www23.statcan.gc.ca/imdb/p2SV.pl?Function=getSurvey&amp;SDDS=2194\" title=\"Documentation on AELE survey\">Documentation on AELE survey</a>","Collection_methods":"Electronic format since year 2014","Frequency":"Annual","Key_model_inputs":null,"Mandatory":"1","Sample_sources":"AELE frame is derived from the Electric Power Generating Stations (EPGS) and from information on inter-provincial transaction in the Monthly Electricity (MELE) survey. Census with a cross-sectional design. ","Survey_respondents":"Electric utilities, industrial establishments","Who_took_measurements":null,"Elements_collected":"Electricity generation by source (hydro, nuclear, thermal,etc.), electricity imports and exports, electricity producer consumption, electricity deliveries to consumers enrolled with retailers, electricity deliveries to end consumers","Equipment_used":null,"Geo_climatic_measurements":"0","Key_best_practice":"Build confrontation data sources tools using provincial administrative data to improve data quality.","Name":"Annual Electricity Supply and Disposition (AELE) survey","Purpose":"Collect data on the supply and disposition of electricity in Canada from utilities and industrial establishments that generate and/or distribute electrical energy in Canada","Recommendations":null,"Sample_design":"Cut-off census with a cross-sectional design. Utilities and companies which have at least one plant with a total generating capacity of 500 KW, or one solar plant with a total generating capacity of over 100 KW.","Sample_Population_size":"Sample size is about 1300 units","Time_to_complete":"1 hour (average time in year 2017)","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"None","Population_description":null,"Response_rate":"For year 2017: unweighted response rate: 87.97% ; weighted response rate: 78.87%","End_uses_covered":"Residential, agriculture (family, corporate farms and irrigation), Mining and Oil &amp; gas extraction, Manufacturing sector, Urban transit systems, Pipeline transportation, Public Administration, Street Lighting, Commercial and Other Institutional.","Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"isu08","Additional_observations":null,"Contact":null,"Country":"Canada","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Inconsistent responses","Methodology":"Surveying","Organisation":"<a href=\"https://www.nrcan.gc.ca/\">Natural Resources Canada</a>","Sector":"Industry","Sectors_covered":"Aluminium, Cement, Chemicals, Iron and steel, Mining, construction, forestry, Other manufacturing sectors, Pulp and paper","Sources":null,"Title":"Natural Resources Canada (Canada) ","Documentation_type":"Questionnaire, Results, Methodology","Available_documentation":"Project website: <a href=\"https://www23.statcan.gc.ca/imdb/p2SV.pl?Function=getSurvey&amp;SDDS=5047&amp;lang=en&amp;db=imdb&amp;adm=8&amp;dis=2\" title=\"Annual Industrial Consumption of Energy Survey\">Annual Industrial Consumption of Energy Survey</a>\r\n<a href=\"https://www23.statcan.gc.ca/imdb-bmdi/instrument/5047_Q3_V12_B.pdf\" title=\"Survey questionnaire\">Survey questionnaire</a>\r\nResults: <a href=\"https://www150.statcan.gc.ca/n1/en/type/data?subject_levels=25&sourcecode=5047\" title=\"Data tables\">Data tables</a>","Collection_methods":"Paper form sent by mail","Frequency":"Every year","Key_model_inputs":null,"Mandatory":"1","Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":"Total energy consumption of a facility\r\nEnergy sources\r\nNon-energy use (e.g. feedstocks)","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"Industrial Consumption of Energy Survey","Purpose":"To track energy consumption of the industry over time","Recommendations":"A working group has been established to discuss ways to improve the survey","Sample_design":"Stratified random sampling approach","Sample_Population_size":"4 613 / 90 000","Time_to_complete":"45 minutes","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"None","Population_description":"All manufacturers (establishments in NAICS 31, 32 and 33)","Response_rate":"84%","End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"isu31","Additional_observations":null,"Contact":"<a href=\"mailto:info@stats.gov.cn\">info@stats.gov.cn</a>","Country":"China","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Huge amount of respondents vs. time limit to verify the data accuracy","Methodology":"Surveying","Organisation":"<a href=\"http://www.stats.gov.cn/english/\">National Bureau of Statistics of China</a>","Sector":"Industry","Sectors_covered":null,"Sources":null,"Title":"National Bureau of Statistics of China (China) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":"Data collected via an official �online direct reporting system","Frequency":"Monthly (except January).\tLast time surveyed: 2017/05","Key_model_inputs":null,"Mandatory":"1","Sample_sources":"National economic census data","Survey_respondents":"ALL industrial enterprises with annual sales revenue of above 20 million RMB","Who_took_measurements":null,"Elements_collected":"Energy purchased amount, consumption, stock, and conversion factor from physical unit to coal equivalent by energy types","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"The use of online direct reporting system�","Name":"Energy Purchase, Consumption and Stock","Purpose":"To collect and monitor energy consumption of the industrial enterprises","Recommendations":"(Possible improvements): Refinement in coal definition","Sample_design":"Selected key industrial enterprises ","Sample_Population_size":"About 380,000 / about 2,410,000","Time_to_complete":"Depends on the scale, complexity, type of energy used and digitalisation level of the enterprise. Normally 30mins~2hrs.","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"Up to 200,000 RMB fine if respondents refuse filling in the questionnaire or deliberately provide the fake data.","Population_description":"Industrial enterprises in China (Economic activity classification: Mining and quarrying sector, Manufacturing sector, Electric power, gas and water production and supply sector)","Response_rate":"100%","End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"isu36","Additional_observations":null,"Contact":null,"Country":"Costa Rica","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Response quality;\r\nQuality of the interviewing staff;\r\nSurvey conducted under contract and without full control;\r\nIncomplete survey;\r\nInsufficient industry coverage due to low response rate;\r\nResource availability at the reporting companies.","Methodology":"Surveying","Organisation":"Energy Planning Secretariat","Sector":"Industry","Sectors_covered":"All manufacturing sectors","Sources":null,"Title":"Energy Planning Secretariat (Costa Rica) ","Documentation_type":"Project website, Report","Available_documentation":"<a href=\"https://sepse.go.cr/nuestros-productos/encuestas-sectoriales/\">Survey documentation</a>\r\n<a href=\"https://iea.blob.core.windows.net/assets/88897aee-753a-4ff2-8d8f-e43ba951399a/EncuestaIndustrial_SEPSE1.pdf\" title=\"\">Survey - National Energy Consumption in the Industrial Sector</a>","Collection_methods":"On site visit","Frequency":"No regular survey cycle","Key_model_inputs":null,"Mandatory":"0","Sample_sources":"In situ survey","Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":"Total energy consumption of a facility;\r\nEnergy use by type of end use;\r\nEnergy sources;\r\nEnergy efficiency measures implemented or willing to implement in their facility.","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"Multiple testing of the questionnaire;Systematic quality control procedures in all the different data processing stages; additional supervision on the execution of the in situ surveys.","Name":"Manufacturing Energy Consumption Survey","Purpose":"To characterize the energy consumption on the manufacturing sector\r\nTo track energy consumption over time\r\nTo determine the groups and patterns of energy consumption on the manufacturing sector\r\nTo determine the most common equipment and technology found in the Costa Rican industry sector.\r\nTo determine the structure and total energy consumption according to source, end use and activity","Recommendations":"More expertise in energy use evaluation; the implementation of a fully automated statistical disclosure avoidance system to protect confidentiality; increasing the frequency of the survey, use of computer-assisted tools to record the answers directly to the database.","Sample_design":"Stratified random sampling approach","Sample_Population_size":"70 / 2458","Time_to_complete":"90-300 minutes","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"None","Population_description":null,"Response_rate":"50%","End_uses_covered":"Water heating, steam systems, heat process systems, lighting, cooling systems, internal transport.","Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"isu11","Additional_observations":null,"Contact":null,"Country":"Czech Republic","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Low response rate\r\nIncomplete survey\r\nInconsistent responses\r\nResponse quality\r\nLack of resources","Methodology":"Surveying","Organisation":"<a href=\"https://www.mpo.cz/default_en.html\">Ministry of Industry and Trade (MIT)</a>","Sector":"Industry","Sectors_covered":"Aluminium, Iron and steel, Cement, Pulp and paper, Chemicals, Other manufacturing sectors","Sources":null,"Title":"Ministry of Industry and Trade (MIT) (Czech Republic) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":"Paper form sent by mail\r\nInternet based","Frequency":"Every year","Key_model_inputs":null,"Mandatory":"1","Sample_sources":"Business register","Survey_respondents":"Active enterprises","Who_took_measurements":null,"Elements_collected":"Total energy consumption of a facility\r\nProduction volumes by type of product\r\nEnergy sources\r\nNon-energy use (e.g. feedstocks)","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"Long-term relationship with energy managers within enterprises of interest","Name":"Statistical reports of the Czech Statistics Office line and MIT line","Purpose":"To track energy consumption of the industry over time\r\nTo determine process efficiencies within an industry\r\nTo track industry's physical output over time\r\nTo calculate GHG emissions","Recommendations":"Improved communication with respondents, better fund allocation","Sample_design":"According to certain characteristics","Sample_Population_size":"22 500","Time_to_complete":"80 minutes","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"A fine","Population_description":"All companies producing selected goods and with 20 or more employees","Response_rate":"80%","End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"isu12","Additional_observations":null,"Contact":null,"Country":"France","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Incomplete survey, response quality.","Methodology":"Surveying","Organisation":"<a href=\"https://www.insee.fr/en/accueil\">INSEE - National Institute of Statistics and Economic Studies</a>","Sector":"Industry","Sectors_covered":null,"Sources":null,"Title":"INSEE - National Institute of Statistics and Economic Studies (France) ","Documentation_type":"Questionnaire, Project website, Results","Available_documentation":"<a href=\"https://iea.blob.core.windows.net/assets/6dec86dd-acdd-43ad-bc2f-dd4ffdfa5705/EACEI2018_questionnaire.pdf\" title=\"\">Survey questionnaire - Energy Consumption in Industry (France)</a>\r\n<a href=\"https://www.cnis.fr/enquetes/consommations-denergie-lindustrie-eacei-enquete-annuelle-2019a036ec/\">Survey methods</a>\r\n<a href=\"https://www.insee.fr/fr/metadonnees/source/operation/s1466/presentation\">Statistical description</a>\r\n<a href=\"https://www.insee.fr/fr/statistiques/3702790?sommaire=3702794\">Results</a>","Collection_methods":"Internet based","Frequency":"Every year","Key_model_inputs":null,"Mandatory":"1","Sample_sources":"Surveys carried out in previous year. The SIRENE directory is created from several sources: tax files and statistical surveys.","Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":"Total energy consumption of a facility;\r\nConsumption per energy product;\r\nEnergy use by type of end use, and non-energy use;\r\nEnergy bills per products.","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"Energy Consumption in Industry, Annual survey (Enqu�te sur les consommations d'�nergie dans l'industrie EACEI)","Purpose":"Track energy consumption and energy prices in industry","Recommendations":null,"Sample_design":"Stratified sampling by activity, size and region. Census for the following facilities: Industry facilities with more than 250 employees, facilities with more than 20 employees in industries where the consumption of energy is high.","Sample_Population_size":"About 8 500 / 22 000","Time_to_complete":"35 min (median)","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"A fine (practically, not charged)","Population_description":null,"Response_rate":"89%","End_uses_covered":"Industrial processes, feedstock, electricity production, vapour production, space heating and others.","Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"isu37","Additional_observations":null,"Contact":null,"Country":"France","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Incomplete survey, response quality.","Methodology":"Surveying","Organisation":"<a href=\"https://www.insee.fr/en/accueil\">INSEE - National Institute of Statistics and Economic Studies</a>","Sector":"Industry","Sectors_covered":null,"Sources":null,"Title":"INSEE - National Institute of Statistics and Economic Studies (France) ","Documentation_type":"Questionnaire, Results","Available_documentation":"<a href=\"/media/statistics/eemanual/EACEI2018_questionnaire.pdf\" title=\"\">Survey questionnaire - Energy Consumption in Industry (France)</a>\r\n<a href=\"https://www.cnis.fr/enquetes/consommations-denergie-lindustrie-eacei-enquete-annuelle-2019a036ec/\">Survey methods</a>\r\n<a href=\"https://www.insee.fr/fr/metadonnees/source/operation/s1466/presentation\">Statistical description</a>\r\n<a href=\"https://www.insee.fr/fr/statistiques/3702790?sommaire=3702794\">Results</a>","Collection_methods":"Internet based","Frequency":"Every year","Key_model_inputs":null,"Mandatory":"1","Sample_sources":"Surveys carried out in previous year. The SIRENE directory is created from several sources: tax files and statistical surveys.","Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":"Total energy consumption of a facility;\r\nConsumption per energy product;\r\nEnergy use by type of end use, and non-energy use;\r\nEnergy bills per products.","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"Energy Consumption in Industry, Annual survey (Enqu�te sur les consommations d'�nergie dans l'industrie EACEI)","Purpose":"Track energy consumption and energy prices in industry","Recommendations":null,"Sample_design":"Stratified sampling by activity, size and region. Census for the following facilities: Industry facilities with more than 250 employees, facilities with more than 20 employees in industries where the consumption of energy is high.","Sample_Population_size":"About 8 500 / 22 000","Time_to_complete":"35 min (median)","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"A fine (practically, not charged)","Population_description":null,"Response_rate":"89%","End_uses_covered":"Industrial processes, feedstock, electricity production, vapour production, space heating and others.","Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"isu13","Additional_observations":null,"Contact":null,"Country":"Indonesia","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":null,"Methodology":"Surveying","Organisation":"<a href=\"https://www.itb.ac.id/\">Bandung Institute of Technology</a>","Sector":"Industry","Sectors_covered":"All manufacturing sectors","Sources":null,"Title":"Bandung Institute of Technology (Indonesia) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":"Paper form sent by mail\r\nComputer-assisted personal interview","Frequency":"Every year","Key_model_inputs":null,"Mandatory":"1","Sample_sources":null,"Survey_respondents":"Energy auditors","Who_took_measurements":null,"Elements_collected":"Total energy consumption of a facility\r\nEnergy use at various stages of production\r\nEnergy use by type of end use\r\nProduction volumes by type of product\r\nEnergy sources\r\nNon-energy use (e.g. feedstocks)\r\nAge of the system/equipment","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"Energy survey","Purpose":"To track energy consumption of the industry over time\r\nTo set industry energy efficiency benchmarks\r\nTo determine process efficiencies within an industry\r\nTo track industry's physical output over time\r\nTo understand operational costs within an industry (e.g. energy and labour costs)\r\nTo calculate GHG emissions\r\nTo evaluate effectiveness of programmes and policies\r\nTo complement another data collection initiative","Recommendations":null,"Sample_design":"Stratified random sampling approach; rotating sample of respondents","Sample_Population_size":"2 900 / 25 000","Time_to_complete":"Not available","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"No penalty","Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"isu30","Additional_observations":null,"Contact":null,"Country":"Japan","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":null,"Methodology":"Surveying","Organisation":"<a href=\"https://www.meti.go.jp/english/index.html\">Ministry of Economy, Trade and Industry</a>","Sector":"Industry","Sectors_covered":"Chemicals, Pulp and paper, Iron and steel, Aluminium, Other manufacturing sectors","Sources":null,"Title":"Ministry of Economy, Trade and Industry (Japan) ","Documentation_type":"Report","Available_documentation":"<a href=\"https://iea.blob.core.windows.net/assets/1102a579-c48d-400e-875d-7dec55fefe45/MonthlyReportOftheCurrentSurveyOfEnergyConsumption_Japan.pdf\" title=\"Monthly Report Of the Current Survey Of Energy Consumption Japan\">Japan (I/Su/30) Monthly Report Of the Current Survey Of Energy Consumption </a>","Collection_methods":"Paper version (sent by mail)","Frequency":"monthly","Key_model_inputs":null,"Mandatory":"1","Sample_sources":"The establishments in the nine industrial categories - (1) Pulp, Paper and Paperboard industry, (2) Chemical fibers industry, (3) Petroleum products industry, (4) Glass products industry, (5) Chemical industry, (6) Ceramics, clay and stone products industry, (7) Iron and steel industry, (8) Non-ferrous metals industry and (9) Machinery industry -, among those covered by the Current Survey of Production (Fundamental Statistics) by the Ministry of Economy, Trade and Industry. (Smaller establishments in some industries are exempted from the survey, as determined by the number of employees.)","Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":"Fuels ? Receipt, Generation, recovery and production, Consumption, Shipment and Month-end inventory Electricity ? Electricity purchased, Private power generation, Consumption and Electricity sold Steam ? Receipt, Steam generation, Consumption and Shipment","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"The Current Survey of Energy Consumption","Purpose":"To clarify the current consumption of petroleum and other types of energy by industry and to obtain basic materials for making policies concerning the consumption of petroleum, etc.","Recommendations":null,"Sample_design":"Purposive Sampling","Sample_Population_size":"approx. 1600 establishments","Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"On-site inspection, a fine","Population_description":null,"Response_rate":"approx. 99%","End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"isu14","Additional_observations":null,"Contact":null,"Country":"Kazakhstan","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":null,"Methodology":"Surveying","Organisation":"<a href=\"https://stat.gov.kz/\">Kazakhstan Agency of Statistics</a>","Sector":"Industry","Sectors_covered":"All manufacturing sectors","Sources":null,"Title":"Kazakhstan Agency of Statistics (Kazakhstan) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":"Paper form sent by mail","Frequency":"Every year","Key_model_inputs":null,"Mandatory":"1","Sample_sources":null,"Survey_respondents":"Operating facility","Who_took_measurements":null,"Elements_collected":"Total energy consumption of a facility\r\nProduction volumes by type of product","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"Working with international experts to improve the national energy statistical system\r\nConducting regional trainings with the data respondents to highlight how to properly fill out national energy statistics questionnaires","Name":null,"Purpose":"To track energy consumption of the industry over time\r\nTo track industry's physical output over time","Recommendations":"Organising meetings with a working group to improve energy statistics on a regular basis. The working group is composed of representatives from ministries, departments, research organisations and national companies\r\nUsing administrative data to monitor the businesses","Sample_design":"According to certain characteristics","Sample_Population_size":"31 386 / 153 610","Time_to_complete":"110 minutes","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"A fine","Population_description":null,"Response_rate":"20%","End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"isu15","Additional_observations":null,"Contact":null,"Country":"Korea","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Low response rate\r\nResponse quality","Methodology":"Surveying","Organisation":"<a href=\"https://dco.energy.or.kr/renew_eng/main/main.aspx\">Korea Energy Agency</a>","Sector":"Industry","Sectors_covered":"All manufacturing sectors","Sources":null,"Title":"Korean Energy Agency (Korea) ","Documentation_type":"Questionnaire","Available_documentation":"<a href=\"https://iea.blob.core.windows.net/assets/7d2131de-1bbd-4777-a7a3-a49cefcc82ba/Korea_Industry_survey.pdf\" title=\"Korea industry survey questionnaire\">Survey questionnaire</a> (Korean)","Collection_methods":"Computer-assisted personal interview","Frequency":"Every three years","Key_model_inputs":null,"Mandatory":"0","Sample_sources":null,"Survey_respondents":"Operating facility","Who_took_measurements":null,"Elements_collected":"Total energy consumption of a facility\r\nEnergy use by type of end use\r\nProduction volumes by type of product\r\nAge of the system/equipment","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"National Energy &amp; GHG Emissions Survey","Purpose":"To track energy consumption of the industry over time\r\nTo calculate GHG emissions","Recommendations":null,"Sample_design":"According to certain characteristics","Sample_Population_size":"150 000 / 340 000","Time_to_complete":"30 minutes","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"Non-cash incentives","Population_description":"All facilities in a given industry sector as per classification index","Response_rate":"90%","End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"isu16","Additional_observations":null,"Contact":null,"Country":"Mexico","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Incomplete survey\r\nInconsistent responses\r\nInsufficient industry coverage due to low response rate","Methodology":"Surveying","Organisation":"<a href=\"https://www.gob.mx/sener\">Ministry of Energy</a>","Sector":"Industry","Sectors_covered":"Cement, Pulp and paper","Sources":null,"Title":"Ministry of Energy (Mexico) ","Documentation_type":"Questionnaire","Available_documentation":"<a href=\"http://www.sener.gob.mx/res/PE_y_DT/pe/ECESI.xls\" title=\"Survey questionnaire\">Survey questionnaire</a>","Collection_methods":"Internet based (Excel file)","Frequency":"Every year","Key_model_inputs":null,"Mandatory":"0","Sample_sources":"List of companies within the Chamber of Commerce in Mexico","Survey_respondents":"Operating facility","Who_took_measurements":null,"Elements_collected":"Total energy consumption of a facility\r\nProduction volumes by type of product\r\nEnergy sources\r\nStocks (cement, given that they use petroleum coke)\r\nElectricity auto-production\r\nMeasures taken to save energy","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"The goal is to work with a number of industry associations. For example, existing activity-based surveys can be used to validate energy consumption survey.","Name":"Energy Consumption Survey in the Industrial Sector","Purpose":"To track energy consumption of the industry over time\r\nTo determine process efficiencies within an industry","Recommendations":"More frequent direct contact with other industry associations, customised questionnaires for each industry branch","Sample_design":"The sample design was based on a random rather than a probability-based selection. However, in order to verify the responses, submissions are checked against industry physical output reported in national statistics office (INEGI) official reports.","Sample_Population_size":"Not available","Time_to_complete":"Not available","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"Non-cash incentive: provide respondents with information about their own performance relative to others in the sector","Population_description":null,"Response_rate":"100%","End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"isu33","Additional_observations":null,"Contact":null,"Country":"Morocco","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Update of the sampling base\r\nResponse quality","Methodology":"Surveying","Organisation":"<a href=\"https://www.mem.gov.ma/en/pages/index.aspx\">Ministry of Energy, Mines and Sustainable Development. Department of Energy</a>","Sector":"Industry","Sectors_covered":null,"Sources":null,"Title":"Ministry of Energy, Mines and Sustainable Development. Department of Energy \r\n (Morocco) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":"Questionnaire collected on site","Frequency":"No regular survey cycle","Key_model_inputs":null,"Mandatory":"0","Sample_sources":"The Industrial companies in Morocco. The survey is face to face.","Survey_respondents":"Industrial companies","Who_took_measurements":null,"Elements_collected":"Industry activity, size of the company, self-production of electricity, Industrial process, production, technologies,�renewable equipment, and industry energy consumption.�","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"Survey of Industry Energy consumption ","Purpose":"� To determine the energy consumption by sub-sector and size of enterprise� To determine The different uses of these energy consumptions � To determine the energy consumption by process","Recommendations":"Increased sample size�","Sample_design":"Stratified random sampling approach","Sample_Population_size":"5.000 / 17.081 Plus the large industrial energy consumers who were surveyed in exhaustiveness","Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"None","Population_description":null,"Response_rate":null,"End_uses_covered":"Manufacturing, electricity production, raw material, other uses","Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"isu17","Additional_observations":null,"Contact":null,"Country":"Netherlands","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Incomplete survey\r\nResponse quality","Methodology":"Surveying","Organisation":"<a href=\"https://www.cbs.nl/en-gb\">Statistics Netherlands</a>","Sector":"Industry","Sectors_covered":"All manufacturing sectors","Sources":null,"Title":"Statistics Netherlands (Netherlands) ","Documentation_type":"Project website","Available_documentation":"Project website: <a href=\"https://www.cbs.nl/en-gb/onze-diensten/methods/surveys/korte-onderzoeksbeschrijvingen/energy-consumption-in-industry\" title=\"Energy consumption in industry survey\">Energy consumption in industry survey</a>","Collection_methods":"Paper form sent by mail","Frequency":"Every three years","Key_model_inputs":null,"Mandatory":"1","Sample_sources":null,"Survey_respondents":"Operating facility","Who_took_measurements":null,"Elements_collected":"Total energy consumption of a facility\r\nEnergy sources\r\nNon-energy use (e.g. feedstocks)","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"The existing paper-based survey is scheduled to be changed to an electronic-based survey. The survey will be carried out annually, instead of quarterly.","Name":"Energy consumption of the industry","Purpose":"To track energy consumption of the industry over time\r\nTo calculate GHG emissions\r\nTo evaluate effectiveness of programmes and policies","Recommendations":"Electronic questionnaire instead of paper, which makes it possible for respondents to carry out controls. This will be implemented from 2011 onward.","Sample_design":"Stratified random sampling approach","Sample_Population_size":"2 000 / 7 000","Time_to_complete":"15 minutes","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"None","Population_description":"Companies (type of activity units) in general business register, classified in NACE with 20 or more employees (smaller companies are estimated)","Response_rate":"85%","End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"isu18","Additional_observations":null,"Contact":null,"Country":"New Zealand","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Incomplete survey\r\nInconsistent responses\r\nResponse quality","Methodology":"Surveying","Organisation":"<a href=\"https://www.stats.govt.nz/\">Statistics New Zealand</a>","Sector":"Industry","Sectors_covered":"Aluminium, Iron and steel, Cement, Pulp and paper, Chemicals, Other manufacturing sectors","Sources":null,"Title":"Statistics New Zealand (New Zealand) ","Documentation_type":"Results, Questionnaire","Available_documentation":"<a href=\"https://ndhadeliver.natlib.govt.nz/webarchive/wayback/20190215091901/http://archive.stats.govt.nz/browse_for_stats/industry_sectors/Energy/EnergyUseSurvey_HOTP12.aspx\" title=\"Results - Energy and trade sector energy use\">Results - Energy and trade sector energy use</a>\r\n<a href=\"https://iea.blob.core.windows.net/assets/dd1b6523-54f0-43e7-8dcf-2131a523298d/NZ_EnergyUseSurvey2011_2012.pdf\" title=\"\">Questionnaire: Energy use survey 2011/2012</a>\r\n<a href=\"https://iea.blob.core.windows.net/assets/dd1b6523-54f0-43e7-8dcf-2131a523298d/NZ_EnergyUseSurvey2012_2013.pdf\" title=\"\">Questionnaire: Energy use survey 2012/2013\r\n?</a>\r\n<a href=\"http://www.iea.org/media/statistics/eemanual/NZ_EnergyUseSurvey2012_2013.pdf\" title=\"Questionnaire: Energy use survey 2012/2013\"></a>","Collection_methods":"Paper form sent by mail","Frequency":"Every three years","Key_model_inputs":null,"Mandatory":"1","Sample_sources":"List of addresses","Survey_respondents":"Operating facility, energy auditing firm, accounting firm","Who_took_measurements":null,"Elements_collected":"Total energy consumption of a facility\r\nEnergy use by type of end use\r\nEnergy sources","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"Multiple testing of the questionnaire; involvement of the field staff and related experts","Name":"Manufacturing Energy Use Survey","Purpose":"To establish an industry energy efficiency benchmark\r\nTo complement another data collection initiative\r\nTo collect statistics about the use of energy in the manufacturing industry; the 2006 Manufacturing Energy Use Survey was carried out by Statistics New Zealand, in collaboration with the Ministry for Economic Development and the Energy Efficiency and Conservation Authority.","Recommendations":"More resources and expertise in energy use evaluation","Sample_design":"Stratified random sampling approach; one-stage stratified design was used","Sample_Population_size":"1 576 / 5 500","Time_to_complete":"45 minutes","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"Reminders emphasising the need for data","Population_description":"The target population for this survey is all enterprises that operate in New Zealand, classified to ANZSIC. The survey population was selected by taking all enterprises that met the following criteria:\r\nRolling mean employment greater than 10\r\nEconomically significant (annual gross sales tax turnover figure of greater than $30,000) \r\nFor this survey the selection unit was the enterprise, and the collection unit was the geographic unit.","Response_rate":"80%","End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"isu19","Additional_observations":null,"Contact":null,"Country":"Slovakia","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":null,"Methodology":"Surveying","Organisation":"<a href=\"https://slovak.statistics.sk/\">Statistics Office of the Slovak Republic</a>","Sector":"Industry","Sectors_covered":"All manufacturing sectors","Sources":null,"Title":"Statistics Office of the Slovak Republic (Slovakia) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":"Paper form sent by mail\r\nInternet based","Frequency":"Every year","Key_model_inputs":null,"Mandatory":"1","Sample_sources":null,"Survey_respondents":"Operating facility","Who_took_measurements":null,"Elements_collected":"Total energy consumption of a facility\r\nEnergy use by type of end use\r\nEnergy sources\r\nNon-energy use (e.g. feedstocks)","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"Annual questionnaire on sources and consumption of fuels and energy","Purpose":"To track energy consumption of the industry over time","Recommendations":null,"Sample_design":"According to certain characteristics","Sample_Population_size":"Not available","Time_to_complete":"104 minutes","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"Individually in accordance with the administrative law","Population_description":null,"Response_rate":"86%","End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"isu20","Additional_observations":null,"Contact":"<a href=\"mailto:ciudadano@idae.es\">ciudadano@idae.es</a>","Country":"Spain","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":null,"Methodology":"Surveying","Organisation":"<a href=\"https://www.idae.es/\"> IDAE - Institute for Energy Diversification and Conservation</a>","Sector":"Industry","Sectors_covered":"Iron and steel, Cement, Pulp and paper, Chemicals, Other manufacturing sectors","Sources":null,"Title":"DAE - Institute for Energy Diversification and Conservation (Spain) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":"Every year","Key_model_inputs":null,"Mandatory":"1","Sample_sources":null,"Survey_respondents":"Electricity and natural gas utilities","Who_took_measurements":null,"Elements_collected":"Natural gas and electricity consumption of the manufacturing sectors","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"Natural Gas Industry Survey and Electrical Energy Industry Survey","Purpose":"To track energy consumption of the industry over time","Recommendations":null,"Sample_design":"Census","Sample_Population_size":"Not available","Time_to_complete":"Not available","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":"All natural gas and electricity suppliers","Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"isu21","Additional_observations":null,"Contact":null,"Country":"Sweden","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":null,"Methodology":"Surveying","Organisation":"<a href=\"http://www.energimyndigheten.se/en/\">Swedish Energy Agency</a>","Sector":"Industry","Sectors_covered":null,"Sources":null,"Title":"Swedish Energy Agency (Sweden) ","Documentation_type":"Questionnaire, Results","Available_documentation":"Project website: <a href=\"https://www.scb.se/en/finding-statistics/statistics-by-subject-area/energy/energy-supply-and-use/energy-use-in-manufacturing-industry/\" title=\"Energy use in manufacturing industry\">Energy use in manufacturing industry</a>\r\n<a href=\"https://iea.blob.core.windows.net/assets/63f8feba-0cee-4709-afdf-76832e8c634a/Sweden_Industry_questionnaire.pdf\" title=\"Sweden industry survey questionnaire\">Survey questionnaire</a> (Swedish)","Collection_methods":"Paper form sent by mail\r\nInternet based","Frequency":"Every year","Key_model_inputs":null,"Mandatory":"1","Sample_sources":"Total industry census","Survey_respondents":"Operating facility","Who_took_measurements":null,"Elements_collected":"Total energy consumption of a facility\r\nEnergy sources","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"Energy use in manufacturing industry","Purpose":"To track energy consumption of the industry over time\r\nTo calculate GHG emissions\r\nTo evaluate effectiveness of programmes and policies","Recommendations":"Increasing the time for examining microdata. This requires additional resources.","Sample_design":"According to certain characteristics","Sample_Population_size":"8 200 / 58 200","Time_to_complete":"25 minutes","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"None","Population_description":null,"Response_rate":"89%","End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"isu22","Additional_observations":null,"Contact":null,"Country":"Switzerland","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":null,"Methodology":"Surveying","Organisation":"<a href=\"https://gccassociation.org/\">Global Cement and Concrete Association (former Cement Sustainability Initiative)</a>","Sector":"Industry","Sectors_covered":"Cement","Sources":"Industry association members: Members of the Cement Sustainability Initiative and European cement producers, <a href=\"http://www.cembureau.be/\" title=\"CEMBUREAU\">CEMBUREAU</a>, the European Cement Association","Title":"Global Cement and Concrete Association (former Cement Sustainability Initiative) (Switzerland) ","Documentation_type":"Project website, Questionnaire","Available_documentation":"Project website: <a href=\"https://www.wbcsd.org/Sector-Projects/Cement-Sustainability-Initiative/Resources/CO2-Accounting-and-Reporting-Standard-for-the-Cement-Industry\" title=\"CO2 and energy protocol\">CO2�and energy protocol</a>\r\n<a href=\"https://www.cement-co2-protocol.org/en/\" title=\"Survey manual\">Survey manual</a>\r\n<a href=\"https://www.cement-co2-protocol.org/v3/Content/Resources/Downloads/CSI_ProtocolV3_1_09December2013.xls\" title=\"Survey questionnaire\">Survey questionnaire</a>","Collection_methods":"Internet based","Frequency":"Every year","Key_model_inputs":null,"Mandatory":"0","Sample_sources":null,"Survey_respondents":"Operating facility","Who_took_measurements":null,"Elements_collected":"Energy use at various stages of production\r\nProduction volumes by type of product\r\nAbsolute gross and net CO2 emissions\r\nSpecific gross and net CO2 emissions per tonne of clinker and per tonne of cementitious product\r\nAverage thermal energy consumption per tonne of clinker\r\nSpecific electric energy consumption as a kilowatt hour per tonne","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"Carbon Dioxide (CO2) and Energy Database for the Cement Industry","Purpose":"To track energy consumption of the industry over time\r\nTo set industry energy efficiency benchmarks\r\nTo determine process efficiencies within an industry\r\nTo track industry's physical output over time\r\nTo provide accurate and verified data on the global cement industry�s CO2 and energy performance","Recommendations":null,"Sample_design":null,"Sample_Population_size":"912","Time_to_complete":"Not available","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":"Cement manufacturers: 29% of global cement production","Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"isu23","Additional_observations":null,"Contact":null,"Country":"Switzerland","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Incomplete survey","Methodology":"Surveying","Organisation":"<a href=\"https://www.bfe.admin.ch/bfe/de/home.html\">Swiss Federal Office of Energy; Helbling</a>","Sector":"Industry","Sectors_covered":"All manufacturing sectors, Aluminium, Cement, Chemicals, Iron and steel","Sources":null,"Title":"Swiss Federal Office of Energy; Helbling (Switzerland) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":"Paper form sent by mail\r\nInternet based","Frequency":"Every year","Key_model_inputs":null,"Mandatory":"1","Sample_sources":"Business and Enterprise Register of the Swiss Federal Statistics Office","Survey_respondents":"Operating facility","Who_took_measurements":null,"Elements_collected":"Total energy consumption of a facility\r\nEnergy sources","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"Parallel and immediate data analysis along with data collection help to improve data quality and timeliness.","Name":"Statistics on final energy consumption in industry and services","Purpose":"To track energy consumption of the industry over time","Recommendations":null,"Sample_design":"A stratified random sampling approach, stratified by branches and company size","Sample_Population_size":"12 000 / 380 000","Time_to_complete":"25 minutes","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"None","Population_description":"All workplaces where one or more people work for at least 20 hours per week in industry and services sectors","Response_rate":"50%","End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"isu24","Additional_observations":null,"Contact":null,"Country":"Thailand","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":null,"Methodology":"Surveying","Organisation":"<a href=\"http://weben.dede.go.th/webmax/\">Department of Alternative Energy Development</a>","Sector":"Industry","Sectors_covered":"All manufacturing sectors","Sources":null,"Title":"Department of Alternative Energy Development (Thailand) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":"No regular cycle","Key_model_inputs":null,"Mandatory":"0","Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"Project of Study and Analysis of the Energy Consumption Structure in the Industry Sector","Purpose":"To complement another data collection initiative\r\nTo establish the data collection system of industry's energy consumption by sub-sector according to ISIC and TSIC in Thailand\r\nTo develop and establish modelling in industry�s energy consumption forecast\r\nTo study energy consumption behaviour, structure and energy prices in industry sector for industry's data analysis in annual energy statistics preparation","Recommendations":null,"Sample_design":"A stratified random sampling approach","Sample_Population_size":"Not available","Time_to_complete":"25 minutes","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"Energy consumption data in the industry sector is important in conducting the strategic plan in energy conservation and alternative energy development","Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"isu25","Additional_observations":null,"Contact":null,"Country":"Turkey","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Inconsistent responses\r\nResponse quality\r\nBias from the interviewer\r\nQuality of the interviewing staff\r\nRecruiting, training and retaining project staff","Methodology":"Surveying","Organisation":"<a href=\"https://enerji.gov.tr/homepage\">Ministry of Energy and Natural Resources</a>","Sector":"Industry","Sectors_covered":"Cement","Sources":null,"Title":"Ministry of Energy and Natural Resources (Turkey) ","Documentation_type":"Questionnaire","Available_documentation":"<a href=\"https://iea.blob.core.windows.net/assets/9102a4e1-3b21-4361-9001-7f2f8afa7f86/Turkey_cement_questionaire.xlsx\" title=\"Turkey cement industry survey questionnaire\">Survey questionnaire (Excel)</a>","Collection_methods":"Paper form sent by mail\r\nComputer-assisted personal interview\r\nComputer-assisted telephone interview\r\nTelephone interview","Frequency":"Every year","Key_model_inputs":null,"Mandatory":"1","Sample_sources":null,"Survey_respondents":"Operating facility","Who_took_measurements":null,"Elements_collected":"Total energy consumption of a facility\r\nEnergy use at various stages of production\r\nProduction volumes by type of product\r\nEnergy sources\r\nNon-energy use (e.g. feedstocks)\r\nAge of the system/equipment","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"Energy Balance","Purpose":"To track energy consumption of the industry over time","Recommendations":null,"Sample_design":"Census","Sample_Population_size":"76 / 76","Time_to_complete":"30 minutes","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"A fine","Population_description":null,"Response_rate":"100%","End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"isu32","Additional_observations":null,"Contact":null,"Country":"Turkey","Data_collected":"Sub-sectors covered: NACE Rev.02","Data_collection_purpose":null,"Main_challenges":null,"Methodology":"Surveying","Organisation":"<a href=\"https://enerji.gov.tr/homepage\">Ministry of Energy and Natural Resources</a>","Sector":"Industry","Sectors_covered":null,"Sources":null,"Title":"General Directorate of Energy Affairs /  Ministry of Energy and Natural Resources (Turkey) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":"Over internet portal system","Frequency":"yearly","Key_model_inputs":null,"Mandatory":"0","Sample_sources":"TURKSTAT","Survey_respondents":"Industry firms","Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"Industry energy consumption questionnaire","Purpose":"To compose Energy Balance Table","Recommendations":null,"Sample_design":null,"Sample_Population_size":"Approx. 4000","Time_to_complete":"10 months","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"None","Population_description":null,"Response_rate":"78%","End_uses_covered":"No","Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"isu26","Additional_observations":null,"Contact":null,"Country":"Ukraine","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Response quality","Methodology":"Surveying","Organisation":"<a href=\"http://www.ukrstat.gov.ua/\">State Statistics Committee of Ukraine</a>","Sector":"Industry","Sectors_covered":null,"Sources":null,"Title":"State Statistics Committee of Ukraine (Ukraine) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":"Paper form sent by mail\r\nInternet based","Frequency":"Every year","Key_model_inputs":null,"Mandatory":"1","Sample_sources":null,"Survey_respondents":"Operating facility","Who_took_measurements":null,"Elements_collected":"Total energy consumption of a facility\r\nEnergy use at various stages of production\r\nProduction volumes by type of product\r\nNon-energy use (e.g. feedstocks)","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"Consumption of Fuel, Heat, Power and Energy","Purpose":"To track energy consumption of the industry over time\r\nTo track industry's physical output over time\r\nTo understand operational costs within an industry (e.g. energy and labour costs)","Recommendations":null,"Sample_design":"Census","Sample_Population_size":"50 000 / 50 000","Time_to_complete":"4 hours","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"A fine","Population_description":null,"Response_rate":"100%","End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"isu35","Additional_observations":null,"Contact":null,"Country":"United Arab Emirates","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"� Incomplete survey� Inconsistent responses� Response quality� High cost � Long-time to find the responsible person","Methodology":"Surveying","Organisation":"Federal Competitiveness and Statistics Authority","Sector":"Industry","Sectors_covered":null,"Sources":null,"Title":"Federal Competitiveness and Statistics Authority (United Arab Emirates) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":"IPA and E-mail�","Frequency":"No regular survey cycle","Key_model_inputs":null,"Mandatory":"0","Sample_sources":"Economic Enterprises","Survey_respondents":"The responsible person in the entity (some cases the manager and some cases the engineer responsible for the production)","Who_took_measurements":null,"Elements_collected":"Electricity Generation, type of energy sources, energy in production, energy for transportation","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"Environment and Energy in Economic Activities Survey","Purpose":"To determine energy consumption in the economic activity for ISIC from 8- 43\r\nTo determine sources of� energy �in the economic activity for ISIC from 8- 43\r\nTo determine total energy consumption by type of sources in the economic activity for ISIC (8- 43)\r\nOther purpose for water resources and consumption and wastes management in the economic activity for ISIC from 8- 43","Recommendations":null,"Sample_design":"Stratified Random Sample with Varying Sample fraction.\t","Sample_Population_size":"sample fraction (5%)","Time_to_complete":"about 1 hour","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"None","Population_description":null,"Response_rate":"Not yet","End_uses_covered":"Covered the end use of energy, water use and waste management","Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"isu27","Additional_observations":null,"Contact":"<a href=\"mailto:wu@international-aluminium.org\">wu@international-aluminium.org</a>","Country":"United Kingdom","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Incomplete survey\r\nInconsistent responses\r\nChanges in personnel year to year mean inconsistency over time, changes in some definitions over time (i.e. more granularity in data requested)","Methodology":"Surveying","Organisation":"<a href=\"https://international-aluminium.org/\">International Aluminium Institute</a>","Sector":"Industry","Sectors_covered":"Aluminium","Sources":null,"Title":"International Aluminium Institute (United Kingdom) ","Documentation_type":"Questionnaire, Report","Available_documentation":"<a href=\"http://www.world-aluminium.org/media/filer_public/2013/01/15/iai_form_es001.pdf\" title=\"Survey questionnaire - smelting\">Survey questionnaire - smelting</a>\r\n<a href=\"http://www.world-aluminium.org/media/filer_public/2013/01/15/iai_form_es011.pdf\" title=\"Survey questionnaire - refining\">Survey questionnaire - refining</a>\r\n<a href=\"http://www.world-aluminium.org/media/filer_public/2013/01/15/iai_form_es001d.pdf\" title=\"Survey questionnaire - casting\">Survey questionnaire - casting</a>\r\n<a href=\"http://www.world-aluminium.org/media/filer_public/2013/01/15/iai_form_es001a.pdf\" title=\"Survey questionnaire - anodes\">Survey questionnaire - anodes</a>\r\n<a href=\"http://www.world-aluminium.org/publications/\" title=\"Reports\">Reports</a>","Collection_methods":"Paper form sent by mail\r\nInternet based\r\nEmailed form","Frequency":"Every year","Key_model_inputs":null,"Mandatory":"0","Sample_sources":"Other surveys","Survey_respondents":"Operating facility","Who_took_measurements":null,"Elements_collected":"Total energy consumption of a facility\r\nEnergy use at various stages of production\r\nProduction volumes by type of product\r\nEnergy sources\r\nNon-energy use (e.g. feedstocks)","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"Annual benchmarking and feedback to respondents. Real-time benchmarking is done via online reporting and users can see immediately where their operations stand relative to others.","Name":"Energy Survey (ES001, ES011)","Purpose":"To track energy consumption of the industry over time\r\nTo set industry energy efficiency benchmarks\r\nTo calculate GHG emissions\r\nTo complement another data collection initiative: GHG Modelling Mass flow and energy flow modelling","Recommendations":null,"Sample_design":"Census","Sample_Population_size":"40 / 40","Time_to_complete":"Not available","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":"95%","End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"isu28","Additional_observations":null,"Contact":"<a href=\"mailto:info@afandpa.org\">info@afandpa.org</a>","Country":"United States","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Incomplete survey\r\nReporting units for various metrics\r\nReporting within deadlines\r\nResource availability at the reporting companies","Methodology":"Surveying","Organisation":"<a href=\"https://www.afandpa.org/\">American Forest &amp; Paper Association (AF&amp;PA)</a>","Sector":"Industry","Sectors_covered":"Pulp and paper","Sources":null,"Title":"American Forest &amp; Paper Association (AF&amp;PA) (United States) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":"Web-based data entry\r\nPaper form sent by mail","Frequency":"Every two years","Key_model_inputs":null,"Mandatory":"1","Sample_sources":null,"Survey_respondents":"Operating facility and/or corporate","Who_took_measurements":null,"Elements_collected":"Total energy consumption of a facility\r\nProduction of paper, pulp for off-site shipments, unbleached chemical pulp and bleached chemical pulp\r\nEnergy sources � various types of fossil and biomass fuels\r\nOn-site electricity generated\r\nSulphur dioxide and nitrogen oxide emissions by power boilers and process\r\nSolid residuals management data\r\nWater discharge � flow, total suspended solids, Halogenated organic compounds and biochemical oxygen demand","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"Online data collection, edit procedure for validating some of the data","Name":"AF&amp;PA Pulp and Paper Mill Environment, Fuel &amp; Energy and Health Survey","Purpose":"To track energy consumption of the industry over time\r\nTo calculate GHG emissions\r\nTo track and report air, water and waste management\r\nTo report on progress towards AF&amp;PA�s Better Practices, Better Planet 2020 Sustainability Goals","Recommendations":"For respondents to validate data consistency in their surveys; additional online validations","Sample_design":"Census","Sample_Population_size":"200 / 390","Time_to_complete":"30 minutes for readily available data","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"None","Population_description":"All pulp and paper mills belonging to AF&amp;PA members","Response_rate":"100% for members","End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"isu29","Additional_observations":null,"Contact":null,"Country":"United States","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Low response rate\r\nIncomplete survey\r\nResponse quality","Methodology":"Surveying","Organisation":"<a href=\"https://www.eia.gov/\">Energy Information Administration</a>","Sector":"Industry","Sectors_covered":"All manufacturing sectors","Sources":null,"Title":"Energy Information Administration (United States) ","Documentation_type":"Methodology, Project website, Questionnaire, Results","Available_documentation":"Project website: <a href=\"https://www.eia.gov/consumption/manufacturing/index.php\" title=\"MECS overview\">MECS overview</a>\r\nQuestionnaire: <a href=\"https://www.eia.gov/survey/#eia-846\" title=\"MECS Survey forms\">MECS�Survey forms</a>\r\n<a href=\"https://www.eia.gov/consumption/manufacturing/data/2010/\" title=\"MECS Results\">MECS Results</a>\r\n<a href=\"https://www.eia.gov/consumption/manufacturing/data/2010/index.php?view=methodology\" title=\"MECS methodology\">MECS methodology</a>","Collection_methods":"Paper form sent by mail\r\nInternet based","Frequency":"Every four years","Key_model_inputs":null,"Mandatory":"1","Sample_sources":"List from tax agency (e.g. municipal, regional), list of addresses","Survey_respondents":"Operating facility","Who_took_measurements":null,"Elements_collected":"Total energy consumption of a facility\r\nEnergy use by type of end use\r\nEnergy sources\r\nNon-energy use (e.g. feedstocks)","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"The 2006 MECS was primarily an Internet-based electronic survey. Almost 90% of the respondents chose to use this method. Prior to 2006, the MECS had been mostly a paper-and-pencil survey. The advantages of the Internet-based survey: 1) Better quality of response through in-survey price and other types of edits; 2) Easier navigation for respondents which also led to better quality; 3) The survey instrument would make necessary calculations that would appear later in the survey for respondent's reference; 4) Elimination of data keying errors for Internet respondents and reduction of money used for data keyers.","Name":"Manufacturing Energy Consumption Survey (MECS)","Purpose":"To track energy consumption of the industry over time\r\nTo evaluate effectiveness of programmes and policies\r\nIn addition to collecting data on energy consumption and energy management activities, the survey also collects data on fuel-switching capacity and specific end uses (e.g., process heating).","Recommendations":"More efficient follow-up methods (did not have email available for 2006 survey � will for 2010); greater emphasis on mandatory authority; the implementation of a fully automated statistical disclosure avoidance system to protect confidentiality; increasing the frequency to once every two years to foster continuity in institutional awareness and knowledge for both respondents and processing staff.","Sample_design":"Stratified random sampling approach","Sample_Population_size":"15 000 / 195 000","Time_to_complete":"9 hours","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"A fine could be applied if pursued but this process has not been exercised","Population_description":"All establishments classified as manufacturing according to the NAICS system except the smallest ones. These smallest establishments all together account for 2% to 3% of the total manufacturing payroll in the United States. The eliminated establishments are identified by labour force size � those establishments with five or fewer employees are eliminated, but that minimum size cutoff can be as high as 20 employees for industries with typically large establishments.","Response_rate":"80%","End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rad01","Additional_observations":"Energy data have to be coordinated with the government statistics office (Albanian Institute of Statistics)","Contact":null,"Country":"Albania","Data_collected":"Data on the number of dwellings, population, age, income, employment, etc.","Data_collection_purpose":"To establish residential energy and activity statistics such as energy consumption per dwelling, energy cost and consumer behaviour","Main_challenges":"Long time to establish a relationship with the organisation�\r\nIn paper format � difficult to transfer to digital format�\r\nInfrequent data collection�\r\nLow response rate","Methodology":"Administrative sources","Organisation":"<a href=\"http://www.akbn.gov.al/?lang=en\">National Agency of Natural Resources</a>","Sector":"Residential","Sectors_covered":null,"Sources":"<a href=\"http://www.instat.gov.al/al/home.aspx\" title=\"Government statistics office \">Government statistics office�</a>\r\nEnergy utilities (gas, oil, electricity, other)","Title":"National Agency of Natural Resources (Albania) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":null,"Key_model_inputs":null,"Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":null,"Purpose":null,"Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rad02","Additional_observations":"The practices apply only to the region of Flanders","Contact":null,"Country":"Belgium","Data_collected":"Electricity and natural gas supplied by the grid operators (yearly obligatory reporting)\r\nCensus building statistics of newly built dwellings","Data_collection_purpose":"To establish energy and activity statistics in the residential sector","Main_challenges":null,"Methodology":"Administrative sources","Organisation":"<a href=\"https://vito.be/en\">Vision on Technology</a>","Sector":"Residential","Sectors_covered":null,"Sources":"Government statistics office\r\nEnergy utilities (gas, oil, electricity, other)","Title":"Vision on Technology (Belgium) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":null,"Key_model_inputs":null,"Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":null,"Purpose":null,"Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rad04","Additional_observations":null,"Contact":null,"Country":"Bosnia and Herzegovina","Data_collected":"Electricity consumption by sector\r\nHeat production and consumption by sector\r\nSolid biofuel consumption\r\nCoal consumption\r\nNatural gas consumption","Data_collection_purpose":"To establish residential sector energy statistics","Main_challenges":"Time-consuming to gather data\r\nIn paper format � difficult to transfer to digital format\r\nShipment data from manufacturers did not have appliance specifications (e.g. size, unit energy consumption, model)\r\nSome data are estimated and incomplete","Methodology":"Administrative sources","Organisation":"<a href=\"https://www.vladars.net/eng/vlada/ministries/MIEM/Pages/default.aspx\">Ministry of Industry, Energy and Mining of Republic of Srpska</a>","Sector":"Residential","Sectors_covered":null,"Sources":"<a href=\"http://www.rzs.rs.ba/front/category/23/231/?&amp;add=None\" title=\"Government statistics office\">Government statistics office</a>\r\nEnergy utilities (gas, oil, electricity, other)\r\nManufacturers","Title":"Ministry of Industry, Energy and Mining of Republic of Srpska (Bosnia and Herzegovina) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":null,"Key_model_inputs":null,"Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":null,"Purpose":null,"Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rad05","Additional_observations":null,"Contact":null,"Country":"Canada","Data_collected":"Data on major appliances shipments and unit energy consumption for new major appliances","Data_collection_purpose":"To obtain total appliance stock and total appliance energy use","Main_challenges":"High cost to obtain data\r\nTime-consuming to gather data\r\nMany data points crossed off due to confidentiality of the sources\r\nNeeded to establish a Memorandum of Understanding with a given organisation","Methodology":"Administrative sources","Organisation":"<a href=\"https://www.nrcan.gc.ca/\">Natural Resources Canada</a>","Sector":"Residential","Sectors_covered":null,"Sources":"National or international associations and organisations","Title":"Natural Resources Canada (Canada) ","Documentation_type":"Results","Available_documentation":"Results: <a href=\"https://oee.nrcan.gc.ca/publications/statistics/cama12/cama12.pdf\" title=\"Energy Consumption of Major Household Appliances Shipped in Canada\">Energy Consumption of Major Household Appliances Shipped in Canada</a>\r\n<a href=\"https://oee.nrcan.gc.ca/publications/statistics/cama12/factsheet.pdf\" title=\"Factsheet\">Factsheet</a>","Collection_methods":null,"Frequency":null,"Key_model_inputs":null,"Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":null,"Purpose":null,"Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rad06","Additional_observations":null,"Contact":null,"Country":"Czech Republic","Data_collected":"Coal, biomass production and trade; solar collectors and heat pumps trade; gas andelectricity trade, etc.","Data_collection_purpose":null,"Main_challenges":null,"Methodology":"Administrative sources","Organisation":"<a href=\"https://www.mpo.cz/en/\">Ministry of Industry and Trade</a>","Sector":"Residential","Sectors_covered":null,"Sources":"<a href=\"https://www.czso.cz/csu/czso/home\" title=\"Government statistics office\">Government statistics office</a>\r\nEnergy utilities (gas, oil, electricity, other)\r\nManufacturers","Title":"Ministry of Industry and Trade (Czech Republic) ","Documentation_type":"Results","Available_documentation":"Results: <a href=\"https://www.mpo.cz/en/energy/statistics/general-information/energy-statistics-overview--13887/\" title=\"Energy statistics\">Energy statistics</a>","Collection_methods":null,"Frequency":null,"Key_model_inputs":null,"Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":null,"Purpose":null,"Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rad07","Additional_observations":"Different organisations are starting to show interest in collaborating on energy datacollection","Contact":"<a href=\"mailto:tfl@big2great.dk\">tfl@big2great.dk</a>","Country":"Denmark","Data_collected":"<a href=\"https://www.dst.dk/en/Statistik/nyt/relateret?eid=10064\" title=\"Number of dwellings by type\">Number of dwellings by type</a>, from Government statistics office (Danish Statistics Office)\r\nTotal residential electricity consumption, from <a href=\"http://www.danishenergyassociation.com/\" title=\"Danish Energy Association\">Danish Energy Association</a>\r\nAppliance data from manufacturers\r\n<a href=\"http://www.feha.dk/?id=15&amp;c=Markedsdata\" title=\"Sales figures for home appliances\">Sales figures for home appliances</a>, from Danish organisation for importers of consumer appliances","Data_collection_purpose":"To estimate residential energy consumption with the residential model. The model is�populated with administrative-based data.","Main_challenges":"Time-consuming to gather data\r\nLong time to establish a relationship with the organisation\r\nMany data points crossed off due to confidentiality of the sources\r\nIn paper format � difficult to transfer to digital format\r\nShipment data from manufacturers did not have appliance specification (e.g. size, unit energy consumption, model)","Methodology":"Administrative sources","Organisation":"<a href=\"http://www.itenergy.dk/Start_en.aspx\">IT Energy</a>","Sector":"Residential","Sectors_covered":null,"Sources":"<a href=\"https://www.dst.dk/en/\" title=\"Government statistics office\">Government statistics office</a>\r\nEnergy utilities (gas, oil, electricity, other)\r\nManufacturers\r\nNational or international associations and organisations","Title":"IT Energy (Denmark) ","Documentation_type":"Report","Available_documentation":"Report: Danish Electricity Supply 2009 - Danish Energy Association","Collection_methods":null,"Frequency":null,"Key_model_inputs":null,"Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":null,"Purpose":null,"Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rad08","Additional_observations":"Making data updates via a website would make it easier to transfer data to digital format.Regular energy consumption surveys are needed to establish energy consumption trends.","Contact":null,"Country":"Indonesia","Data_collected":"Socio-economic data\r\nEnergy intensity data\r\nSales of energy (oil, electricity, gas)\r\nProduction of energy\r\nResources and infrastructure capacity (refinery and power plants)","Data_collection_purpose":"To assure accuracy of energy supply data","Main_challenges":"In paper format � difficult to transfer to digital format","Methodology":"Administrative sources","Organisation":"<a href=\"https://www.esdm.go.id/en\">Data and Information Centre, Ministry of Energy and Mineral Resources</a>","Sector":"Residential","Sectors_covered":null,"Sources":"<a href=\"https://www.bps.go.id/\" title=\"Government statistics office\">Government statistics office</a>\r\nEnergy utilities (gas, oil, electricity, other)","Title":"Data and Information Centre, Ministry of Energy and Mineral Resources (Indonesia) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":null,"Key_model_inputs":null,"Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":null,"Purpose":null,"Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rad09","Additional_observations":null,"Contact":null,"Country":"Israel","Data_collected":"Energy supply and demand","Data_collection_purpose":"To establish national energy balances","Main_challenges":"Time-consuming to gather data\r\nLong time to establish a relationship with the organisations","Methodology":"Administrative sources","Organisation":"<a href=\"https://www.cbs.gov.il/he/pages/default.aspx\">Central Bureau of Statistics</a>","Sector":"Residential","Sectors_covered":null,"Sources":"Energy utilities (gas, oil, electricity, other)\r\nManufacturers\r\nNational or international associations and organisations","Title":"Central Bureau of Statistics (Israel) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":null,"Key_model_inputs":null,"Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":null,"Purpose":null,"Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rad10","Additional_observations":null,"Contact":null,"Country":"Italy","Data_collected":"Demographic data\r\nTechnologies diffusion and unit consumption of appliances\r\nEnergy consumption for space heating, water heating and lighting","Data_collection_purpose":null,"Main_challenges":"High cost to obtain data\r\nTime-consuming to gather data\r\nMany data points crossed off due to confidentiality of the sources\r\nNeeded to establish a Memorandum of Understanding with a given organisation\r\nDefinition issues within a sector","Methodology":"Administrative sources","Organisation":"<a href=\"http://www.isis-it.com/\">Institute of Studies for the Integration of Systems</a>","Sector":"Residential","Sectors_covered":null,"Sources":"<a href=\"https://www.istat.it/en/\" title=\"Government statistics office\">Government statistics office</a>\r\nEnergy utilities (gas, oil, electricity, other)\r\nManufacturers\r\nNational or international associations and organisations\r\nAppliances manufacturers� technical literature, e.g. the <a href=\"https://www.eup-network.de/product-groups/preparatory-studies/\" title=\"EuP studies\">EuP studies</a>\r\nOther models such as PRIMES and ADAMS","Title":"Institute of Studies for the Integration of Systems (Italy) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":null,"Key_model_inputs":null,"Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":null,"Purpose":null,"Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rad11","Additional_observations":null,"Contact":null,"Country":"Korea","Data_collected":"Imports, exports, sales, production, stocks of crude oil and final oil products.","Data_collection_purpose":"To establish national oil supply-and-demand statistics","Main_challenges":"In paper format � difficult to transfer to digital format\r\nDefinition issues within a sector","Methodology":"Administrative sources","Organisation":"<a href=\"http://www.knoc.co.kr/ENG/main.jsp\">Korea National Oil Corporation</a>","Sector":"Residential","Sectors_covered":null,"Sources":"Manufacturers","Title":"Korea National Oil Corporation (Korea) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":null,"Key_model_inputs":null,"Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":null,"Purpose":null,"Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rad20","Additional_observations":"Efficiency indicators of private dwellings: Currently the following efficiency indicators are published (beginning of 2018):\r\na) gas consumption per m2 floor size differentiated by type of dwelling, floor area size, building period and energy label.�\r\nb) electricity consumption per resident differentiated by type of dwelling, floor area size and number of residents�","Contact":null,"Country":"Netherlands","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Linking data: addresses, especially house number extension, are not always registered in the same way in the different registers.\r\nIdentifying private households making use of district heating. The registers of postal codes with district heating overestimate the use of district heating by private dwellings. If a private dwelling is located in a postal area where district heating is registered and fewer gas deliveries are linked to the dwelling, the dwelling is considered to make use of district heating, and the other way around.\r\nOther energy sources. Data on alternative energy sources are currently not available at the level of private dwellings and is therefore not considered in statistics on energy consumption and energy efficiency of households. The use of alternative energy sources for heating is likely to grow in the future as the government plans to eliminate gas connections to private dwellings by 2050.\r\nApartments with communal heating: Many big apartment buildings have a communal heating system. Often one or a few large gas deliveries are found in the building while most apartments have only little or no gas linked. A methodology has been designed to identify the communal gas connections and the apartments served by these communal connections. The communal gas deliveries in the apartment building is then distributed equally over all the apartments.\r\nPrivate dwellings with business activities: Business activities are identified by linkage with business registers in the name of the connection. Often business connections are named after the business. The national business register does not link well with the client files, as the register does not contain up to date information of all address locations of the business. When business activities are found at a private dwelling, the energy consumption found at the private dwelling is not counted in the statistics on energy consumption of private dwellings.�","Methodology":"Administrative sources","Organisation":"<a href=\"https://www.cbs.nl/en-gb\">Statistics Netherlands</a>","Sector":"Residential","Sectors_covered":null,"Sources":"Client files; registers of the public network companies containing all the gas and electricity connections in the Netherlands.\r\nBasisregistratie Adressen en Gebouwen (BAG); register of all buildings and addresses in the Netherlands, includes data on surface of the building, the year in which the building was build and the type of building including whether the building is for residential purposes or for business purposes.\r\nDataland: a national register which contains more specific information about the building type.\r\nNational Business Register: the register which includes information about all enterprises in the Netherlands including information about the address of the main location of the enterprise.\r\nLocatus: a national register of enterprises in the services sector, mainly wholesale, retail and food serving.\r\nDistrict heating registers: these registers contain postal codes where district heating can be found.","Title":"Statistics Netherlands (Netherlands) ","Documentation_type":"Methodology, Project website","Available_documentation":"<a href=\"https://www.cbs.nl/en-gb/our-services/methods/surveys/korte-onderzoeksbeschrijvingen/supply-of-electricity-and-natural-gas-via-the-national-grid\">Supply of electricity and natural gas via the national grid</a>\r\n<a href=\"https://iea.blob.core.windows.net/assets/1d47b220-fba6-409a-b3df-514216062d93/160617_Using_admin_data_in_energy_statistics_ESWG.pdf\" title=\"Using admin data for energy statistics presentation\">Netherlands_Using admin data for energy statistics_presentation</a>","Collection_methods":null,"Frequency":null,"Key_model_inputs":null,"Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"Data are available at micro level for all private dwellings.��","Name":"Client files","Purpose":"To provide statistics on energy consumption in private dwellings.","Recommendations":"In the future, data on alternative energy sources at micro level will become more important and should be included at micro level.�Data on end uses could be derived from data ofsmart meters, however at this moment these data are not available.","Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rad12","Additional_observations":"Methodology is still being improved. Results published from 2006 onwards.","Contact":null,"Country":"Netherlands","Data_collected":"Client information from energy companies. For each connection of gas and electricity(households and companies): annual purchased amount of gas and electricity (nobreakdown by end use).","Data_collection_purpose":null,"Main_challenges":"Time-consuming to gather data\r\nLong time to establish a relationship with the organisations","Methodology":"Administrative sources","Organisation":"<a href=\"https://www.cbs.nl/en-gb\">Statistics Netherlands</a>","Sector":"Residential","Sectors_covered":null,"Sources":"Energy utilities (gas, oil, electricity, other)","Title":"Statistics Netherlands (Netherlands) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":null,"Key_model_inputs":null,"Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":null,"Purpose":null,"Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rad13","Additional_observations":"Demand information on electricity, coal and gas for New Zealand is generally good","Contact":null,"Country":"New Zealand","Data_collected":"Coal sales survey\r\nDeliveries of petroleum fuels by industry\r\nSurvey of gas-selling enterprises� wholesaling, retailing and sales information\r\nSurvey of electricity-retailing enterprises","Data_collection_purpose":"To monitor industry trends for policy analysis\r\nTo provide aggregate statistics for domestic and international reporting\r\nTo prepare energy-related greenhouse gas emissions inventory\r\nTo project supply and demand through modelling based on historical data","Main_challenges":"Time-consuming to gather data\r\nMany data points crossed off due to confidentiality of the sources\r\nDefinition issues within a sector","Methodology":"Administrative sources","Organisation":"<a href=\"https://www.eeca.govt.nz/\">Energy Efficiency and Conservation Authority</a>","Sector":"Residential","Sectors_covered":null,"Sources":"<a href=\"https://www.stats.govt.nz/\" title=\"Government statistics office\">Government statistics office</a>\r\nNational or international associations and organisations","Title":"Energy Efficiency and Conservation Authority (New Zealand) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":null,"Key_model_inputs":null,"Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":null,"Purpose":null,"Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rad03","Additional_observations":null,"Contact":null,"Country":"Norway, Belgium, Bulgaria, Czech Republic, Denmark, France, Germany, Greece, Hungary, Italy, Norway, Portugal, Romania","Data_collected":"Number of households in the country\r\nGovernment statistics offices (Statistics Norway): average <a href=\"http://www.ssb.no/en/energi-og-industri/statistikker/husenergi\" title=\"electricity demand of households\">electricity demand of households</a>\r\n<a href=\"http://www.met.no/English/\" title=\"Meteorologisk Institutt\">Meteorologisk Institutt</a> (Norwegian weather forecast bureau): daily temperature data for various places in Norway","Data_collection_purpose":"To estimate yearly national energy consumption based on two-week householdmeasurements","Main_challenges":"High cost to obtain data\r\nTime-consuming to gather data\r\nMany data points crossed off due to confidentiality of the sources","Methodology":"Administrative sources","Organisation":"<a href=\"https://remodece.isr.uc.pt/\">REMODECE Project</a>","Sector":"Residential","Sectors_covered":null,"Sources":"Government statistics offices\r\nEnergy utilities (gas, oil, electricity, other)","Title":"REMODECE Project (Norway, Belgium, Bulgaria, Czech Republic, Denmark, France, Germany, Greece, Hungary, Italy, Norway, Portugal, Romania) ","Documentation_type":"Project website","Available_documentation":"<a href=\"https://remodece.isr.uc.pt/\" title=\"Project website: REMODECE homepage\">Project website: REMODECE homepage</a>","Collection_methods":null,"Frequency":null,"Key_model_inputs":null,"Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":null,"Purpose":null,"Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rad14","Additional_observations":"It is very important to integrate the traditional methods based on administrative data withother mix of methods, such as the bottom-up method","Contact":"<a href=\"mailto:ciudadano@idae.es\">ciudadano@idae.es</a>","Country":"Spain","Data_collected":"<a href=\"http://www.ine.es/en/welcome.shtml\" title=\"Spanish Statistics Office (INE)\">Spanish Statistics Office (INE)</a>: data on national accountability; ownership of appliances; annual construction of dwellings (m2), etc.\r\nAssociations of manufacturers: data on appliances sales, etc.\r\nEurostat: <a href=\"http://appsso.eurostat.ec.europa.eu/nui/submitViewTableAction.do\" title=\"data on degree days\">data on degree days</a>\r\n<a href=\"http://www.minetur.gob.es/energia/balances/Balances/Paginas/Balances.aspx\" title=\"MITYC: data on energy balance (by sources and sectors)\">MITYC: data on energy balance (by sources and sectors)</a>","Data_collection_purpose":"To establish final energy consumption by fuel type in the residential sector\r\nTo determine dwelling unit energy consumption relative to average floor area of dwellings\r\nTo estimate consumption by energy sources and end uses\r\nTo determine energy intensity of the residential sector","Main_challenges":"Time-consuming to gather data\r\nIn paper format � difficult to transfer to digital format\r\nDefinition issues within a sector\r\nShipment data from manufacturers did not have appliance specifications (e.g. size, unit energy consumption, model)\r\nInterruption in the time series given by INE because some data are no longer available or because of a change in the methodology used","Methodology":"Administrative sources","Organisation":"<a href=\"https://www.idae.es/en/home\">IDAE - Institute for Energy Diversification and Conservation</a>","Sector":"Residential","Sectors_covered":null,"Sources":"Government statistics office\r\nMinistry of Development/Ministry of Dwelling/Ministry of Economy and Finance/Ministry of Industry, Trade and Commerce (MITYC)\r\nEnergy utilities (gas, oil, electricity, other)\r\nManufacturers","Title":"IDAE - Institute for Energy Diversification and Conservation (Spain) ","Documentation_type":"Project website","Available_documentation":"<a href=\"https://www.mincotur.gob.es/en-US/Paginas/index.aspx\" title=\"Ministry of Industry, Energy  and Commerce (MINETUR)\">Ministry of Industry, Energy� and Commerce (MINETUR)</a>\r\n<a href=\"https://www.mitma.gob.es/transporte-terrestre/inspeccion-y-seguridad-en-el-transporte/tacografo-digital/english-version/\" title=\"Ministry of Development\">Ministry of Development</a>\r\n<a href=\"https://www.mitma.gob.es/vivienda\" title=\"Ministry of Dwellings\">Ministry of Dwelling</a>\r\n<a href=\"https://www.mineco.gob.es/portal/site/mineco?lang_choosen=en\" title=\"Ministry of Economy and Finance\">Ministry of Economy and Finance</a>\r\n<a href=\"https://www.ine.es/\" title=\"INE (Spanish Statistics Office)\">INE (Spanish Statistics Office)</a>","Collection_methods":null,"Frequency":null,"Key_model_inputs":null,"Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":null,"Purpose":null,"Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rad15","Additional_observations":"The information exists, but sometimes not in the desired format","Contact":null,"Country":"Togo","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":null,"Methodology":"Administrative sources","Organisation":"<a href=\"https://energie.gouv.tg/\">Ministry of Mines and Energy</a>","Sector":"Residential","Sectors_covered":null,"Sources":"<a href=\"https://inseed.tg/\" title=\"National statistics institue\">National statistics institute</a>\r\nEnergy utilities (gas, oil, electricity, other)\r\nManufacturers\r\nNational or international associations and organisations","Title":"Ministry of Mines and Energy (Togo) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":null,"Key_model_inputs":null,"Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":null,"Purpose":"To determine energy consumption in the residential sector","Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rad16","Additional_observations":null,"Contact":null,"Country":"Ukraine","Data_collected":null,"Data_collection_purpose":"To submit the International Energy Agency annual questionnaires","Main_challenges":"In paper format � difficult to transfer to digital format\r\nNeeded agreement from house owners\r\nMissing the full list of fuels used","Methodology":"Administrative sources","Organisation":"<a href=\"http://www.ukrstat.gov.ua/\">State Statistics Committee of Ukraine</a>","Sector":"Residential","Sectors_covered":null,"Sources":"Government statistics office\r\nEnergy utilities (gas, oil, electricity, other)\r\nManufacturers\r\nNational Commission on Energy Regulation\r\n<a href=\"https://www.naftogaz.com/www/3/nakweben.nsf/\" title=\"National joint-stock company Oil and Gas of Ukraine\">National joint-stock company Oil and Gas of Ukraine</a>","Title":"State Statistics Committee of Ukraine (Ukraine) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":null,"Key_model_inputs":null,"Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":null,"Purpose":null,"Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rad17","Additional_observations":"There are some rich sources of administrative data within the UK, but sharing the data is�limited to specified purposes","Contact":"<a href=\"mailto:Energyefficiency.stats@decc.gsi.gov.uk\">Energyefficiency.stats@decc.gsi.gov.uk</a>","Country":"United Kingdom","Data_collected":"The energy consumption data are from household electricity and gas meter point readings,provided by utility companies. Those data are matched with data on energy efficiencymeasures installed (from the <a href=\"https://www.energysavingtrust.org.uk/scotland/businesses-organisations/data-services/heed\" title=\"Homes Energy Efficiency Database\">Homes Energy Efficiency Database</a>, which holds data providedby installers) and property attribute data held by the Valuation Office Agency (a UKgovernment agency). Commercially available modelled data on household attributes arealso matched to the data.","Data_collection_purpose":"To provide estimates of energy consumption for different households and to establish energy consumption drivers\r\nTo estimate the savings from energy efficiency measures adopted in households","Main_challenges":"Time-consuming to gather data\r\nNeeded to establish a Memorandum of Understanding with a given organisation\r\nData protection and data confidentiality have been two of the most significant challenges. These have led to access being limited and processes being more timeconsuming. Reducing these challenges will require legislation in some cases.","Methodology":"Administrative sources","Organisation":"<a href=\"https://www.gov.uk/government/organisations/department-of-energy-climate-change\">Department of Energy and Climate Change</a>","Sector":"Residential","Sectors_covered":null,"Sources":"Energy utilities (gas, oil, electricity, other)","Title":"Department of Energy and Climate Change (United Kingdom) ","Documentation_type":"Project website","Available_documentation":"Project website: <a href=\"https://www.gov.uk/government/collections/national-energy-efficiency-data-need-framework\" title=\"National Energy Efficiency Data-Framework (NEED)\">National Energy Efficiency Data-Framework (NEED)</a>","Collection_methods":null,"Frequency":null,"Key_model_inputs":null,"Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":null,"Purpose":null,"Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rad18","Additional_observations":null,"Contact":"<a href=\"mailto:Energyefficiency.stats@decc.gsi.gov.uk\">Energyefficiency.stats@decc.gsi.gov.uk</a>","Country":"United Kingdom","Data_collected":"Energy suppliers provide the amount of consumption of each energy source. Gas andelectricity utilities are able to identify domestic users by the type of meters and tariffs.Estimates are provided for supplied liquid and solid fuels and renewable sources.","Data_collection_purpose":"To produce data on total energy consumption by fuel type in the residential sector","Main_challenges":"Time-consuming to gather data\r\nDifficulties exist in a few records having to distinguish residential sector energy consumption from services sector consumption (e.g. offices)","Methodology":"Administrative sources","Organisation":"<a href=\"https://www.gov.uk/government/organisations/department-of-energy-climate-change\">Department of Energy and Climate Change</a>","Sector":"Residential","Sectors_covered":null,"Sources":"Energy utilities (gas, oil, electricity, other)","Title":"Department of Energy and Climate Change (United Kingdom) ","Documentation_type":"Report","Available_documentation":"Reports: <a href=\"https://www.gov.uk/government/collections/national-energy-efficiency-data-need-framework\" title=\"National Energy Efficiency Data-Framework (NEED)\">National Energy Efficiency Data-Framework (NEED)</a>","Collection_methods":null,"Frequency":null,"Key_model_inputs":null,"Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":null,"Purpose":null,"Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rad19","Additional_observations":"For major fuels, data are collected on fuel-specific survey instruments from energy suppliers�to sampled households. Service areas of various energy suppliers cross geopoliticalboundaries. Energy policy and rate structures are largely in the hands of states, which�influences ease and quality of data capture.","Contact":null,"Country":"United States","Data_collected":"16 to 20 months of customer billing data for all major fuels, including consumption,expenditures, and for bulk fuels, amount delivered and receipts","Data_collection_purpose":"To estimate housing unit energy consumption and energy end uses supplemented with themodel and the characteristics data","Main_challenges":"Data are collected in a separate phase after household survey, which adds both quality and time to overall project\r\nEstablishing rapport with and access to the right respondents in energy supplier companies\r\nManaging and using data in non-standard data formats, keeping up with best practices for data capture in an ever-changing computing and business environment","Methodology":"Administrative sources","Organisation":"<a href=\"https://www.eia.gov/\">Energy Information Administration</a>","Sector":"Residential","Sectors_covered":null,"Sources":"Energy utilities (gas, oil, electricity, other)","Title":"Energy Information Administration (United States) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":null,"Key_model_inputs":null,"Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":null,"Purpose":null,"Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rme01","Additional_observations":null,"Contact":null,"Country":"Austria","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Communication with household occupants","Methodology":"Measuring","Organisation":"<a href=\"http://www.statistik.at/web_en/statistics/index.html\">Statistics Austria</a>","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"Statistics Austria (Austria) ","Documentation_type":"Questionnaire","Available_documentation":"<a href=\"https://iea.blob.core.windows.net/assets/584ca2d0-ba70-4126-b213-e1a34bc159ef/Austria_Questionnaire_on_specific_consumption_of_relevant_appliances.pd\" title=\"Austria electric metering questionnaire\">Metering questionnaire</a>\r\n<a href=\"https://iea.blob.core.windows.net/assets/584ca2d0-ba70-4126-b213-e1a34bc159ef/Austria_Questionnaire_on_consumption_behaviour.pdf\" title=\"Austria residential metering consumption behavior questionnaire\">Consumption behavior questionnaire</a>\r\n<a href=\"https://iea.blob.core.windows.net/assets/584ca2d0-ba70-4126-b213-e1a34bc159ef/Austria_Questionnaire_on_electricity_and_natural_gas_device.pdf\" title=\"Austria residential metering devices questionnaire\">Electric and gas devices questionnaire</a>","Collection_methods":null,"Frequency":"No regular cycle","Key_model_inputs":null,"Mandatory":null,"Sample_sources":"Respondents of labour force survey were asked to join the exercise","Survey_respondents":null,"Who_took_measurements":"Household occupants","Elements_collected":null,"Equipment_used":"Electricity cost meter","Geo_climatic_measurements":"1","Key_best_practice":"The voluntary survey covers the consumption of electricity in private households, broken down by consumption purpose. With four questionnaires, the households recorded data about their electrical appliances (equipment, power consumption and usage) as well as data on space heating, water heating and lighting all linked to power consumption over 24-hour periods in two one-week runs. A portable energy cost meter was given to the contributing households to measure the specific electrical consumption, and an allowance of �100 was paid to every household that completed all the questionnaires.","Name":"Household Electricity Consumption by Purpose","Purpose":"Physical characteristics by mode (e.g. weight, life cycle)\r\nTo understand residential energy consumption patterns\r\nTo understand appliance utilisation patterns\r\nTo complement an existing survey\r\nTo complement a model","Recommendations":null,"Sample_design":"Simple random sampling","Sample_Population_size":"254","Time_to_complete":"26 weeks per household","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":"Space heating, space cooling, water heating, refrigerators, freezers, dishwashers, washing machines, clothes dryers, televisions, radios/portable devices, clock radios, hi-fis/stereos, TV projectors, DVB-T set top box, satellite receivers, antenna amplifiers/digital antennae, VCR/DVD recorders, DVD players, cd players, consoles (e.g. PlayStations), waterbeds, aquariums � measure the complete system, including lights, hairdryers, espresso/coffee dispensers","Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rme03","Additional_observations":null,"Contact":null,"Country":"Denmark","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Selected shops did not allow for measurements","Methodology":"Measuring","Organisation":"<a href=\"http://www.itenergy.dk/Start_en.aspx\">IT Energy</a>","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"IT Energy (Denmark) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":"No regular cycle","Key_model_inputs":null,"Mandatory":null,"Sample_sources":"Shops were the target, so all major shops selling electrical appliances participated. About 500 measurements were conducted by 12 participating countries in the project, resulting in more than 6 000 measurements for standby power.","Survey_respondents":null,"Who_took_measurements":"Energy auditors","Elements_collected":null,"Equipment_used":"WATTMAN from ADPOWER","Geo_climatic_measurements":"0","Key_best_practice":"A time-saving practice was established to go to the stores a day before the actual measurements were conducted to list all appliances that should be measured the following day","Name":"SELINA (Intelligent Energy Europe project)","Purpose":"To measure standby power consumption of appliances being sold","Recommendations":"To keep the data processing simple and as flawless as possible, instead of typing in results, use a macro to get measurement data from meters to spreadsheet directly","Sample_design":"The appliances were not measured in homes, but in stores","Sample_Population_size":"6 000","Time_to_complete":"Three days per store (10 weeks for total measurements)","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":"Dishwashers, washing machines, clothes dryers, televisions, computers, other","Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rme04","Additional_observations":null,"Contact":null,"Country":"New Zealand","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"A very small proportion (almost negligible) of the appliances in the study failed to operate during the six-year life span of the project","Methodology":"Measuring","Organisation":"<a href=\"https://www.eeca.govt.nz/\">Energy Efficiency and Conservation Authority</a>","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"Energy Efficiency Conservation Authority (New Zealand) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":"Only conducted once","Key_model_inputs":null,"Mandatory":null,"Sample_sources":"List of addresses","Survey_respondents":null,"Who_took_measurements":"Household owners","Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"Metering was used to obtain energy consumption from major end uses","Name":"Household Energy End-Use Project","Purpose":"To understand residential energy consumption patterns\r\nTo understand appliance utilisation patterns\r\nTo develop a model of the residential energy sector\r\nTo help improve energy efficiency\r\nTo reduce GHG emissions\r\nTo identify new energy-saving opportunities","Recommendations":"The metering could be improved with better metering equipment, which in turn would improve quality of results and lower the cost of the metering exercise","Sample_design":"Random sampling approach","Sample_Population_size":"400 households","Time_to_complete":"Five to six years for all households","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":"Space heating, space cooling, water heating, refrigerators, freezers, dishwashers, washing machines, clothes dryers, televisions, computers, other","Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rme02","Additional_observations":null,"Contact":null,"Country":"Norway, Belgium, Bulgaria, Czech Republic, Denmark, France, Germany, Greece, Hungary, Italy, Portugal, Romania","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Equipment setup difficulties\r\nQuality control\r\nMalfunctioning equipment\r\nInsufficient number of devices\r\nLegal constraints in some countries\r\nMonitoring takes longer than foreseen","Methodology":"Measuring","Organisation":"<a href=\"https://ec.europa.eu/cip/iee/index_en.htm\">Intelligent Energy Europe</a>","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"Intelligent Energy Europe (Norway, Belgium, Bulgaria, Czech Republic, Denmark, France, Germany, Greece, Hungary, Italy, Portugal, Romania) ","Documentation_type":"Project website, Methodology, Report","Available_documentation":"Project website: <a href=\"https://remodece.isr.uc.pt/\" title=\"REMODECE Homepage\">REMODECE Homepage</a>\r\n<a href=\"https://remodece.isr.uc.pt/downloads/REMODECE_Harmonised_Methodology_D4.pdf\" title=\"Methodology\">Methodology</a>\r\n<a href=\"https://iea.blob.core.windows.net/assets/d97f3299-6972-4cb1-a398-1564791ede51/REMODECE_metering_report_Norway.pdf\" title=\"REMODECE: Analysis of Monitoring Campaign in Norway\">Report: Analysis of Monitoring Campaign in Norway</a>\r\n<a href=\"https://iea.blob.core.windows.net/assets/d97f3299-6972-4cb1-a398-1564791ede51/AnalysisofMonitoringCampaigninEurope_REMODECE.pdf\" title=\"\">Report: Analysis of Monitoring Campaign in Europe</a>","Collection_methods":null,"Frequency":"No regular cycle (Norway - every year)","Key_model_inputs":null,"Mandatory":null,"Sample_sources":"Lists from energy suppliers, lists of addresses, lists of telephone numbers, volunteers (after announcement in radio) and co-workers with air-conditioning equipment.","Survey_respondents":null,"Who_took_measurements":"Energy auditors (household owners in Norway)","Elements_collected":null,"Equipment_used":"Power detective, electricity household meter, SEM 10, Enertech lamp meter logger, Sparo Meter NZR230, Enertech Wattmeter, DIACE System","Geo_climatic_measurements":"1","Key_best_practice":"A tool was developed for the purpose of analysing the metered data. The data were stored with one-minute intervals for each appliance of each household. By analysing the appliance data and combining with survey data on a number of appliances, a typical appliance load-demand curve was established on a hourly basis. The energy demand of heating and cooling end uses was calculated as the residual from total energy demand subtracting all end-use demand.","Name":"REMODECE","Purpose":"To understand appliance utilisation patterns\r\nTo understand residential energy consumption patterns","Recommendations":"Difficulties in installing on-site metering devices should be considered. Care while installing the devices, and regular checks (every night if possible) to verify the data collection reliability and to avoid repetition of the measurements. Calibration of data to typical national energy demand of a household is important. Both end uses and total demand should be calibrated. For Norway and northern countries, having much electric heating, it is important to know the outdoor temperature for each day of the metered period of total energy demand. A regression analysis of temperature against metered demand gives the temperature sensitivities of the total energy demand. The regression analysis leaves data that are typical for classes of households such as detached houses and row houses. Stratified random sampling methods should be used when collecting and analysing the data. For lighting, too expensive metering devices were used � on/off detecting equipment is much less costly.","Sample_design":"Simple random sampling","Sample_Population_size":"1 300 (100 households per country)","Time_to_complete":"5 to 20 days per household","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":"Space heating, space cooling, water heating, refrigerators, freezers, dishwashers, washing machines, clothes dryers, televisions, computers, other","Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rme05","Additional_observations":null,"Contact":"<a href=\"mailto:ciudadano@idae.es\">ciudadano@idae.es</a>","Country":"Spain","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Quality control\r\nMalfunctioning equipment\r\nCommunication with household occupants\r\nAccess to some of the household equipment","Methodology":"Measuring","Organisation":"<a href=\"https://www.idae.es/\"> IDAE - Institute for Energy Diversification and Conservation</a>","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"IDAE - Institute for Energy Diversification and Conservation (Spain) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":"Every three years","Key_model_inputs":null,"Mandatory":null,"Sample_sources":"List of addresses","Survey_respondents":null,"Who_took_measurements":"Energy auditors","Elements_collected":null,"Equipment_used":"One piece of equipment measuring the real consumption (Watt-hours) by each household appliance. Another piece of equipment recording the hourly consumption of the dwelling.","Geo_climatic_measurements":"1","Key_best_practice":"An informative campaign was launched ahead of field measurements in order to guarantee access to the dwellings. Established agreements with associations and organisations related to the energy sector such as citizens, universities, energy utilities, cities, and towns. Provision of incentives such as free energy studies about energy-saving tips. Preliminary diagnosis of 5% of the sample dwellings in order to estimate their energy consumption can be used as a reference to check the quality of the measurements in the rest of the dwellings.","Name":"Energy Consumption in the Spanish Households Project","Purpose":"To understand residential energy consumption patterns\r\nTo understand appliance utilisation patterns","Recommendations":"It is important to develop bottom-up methods based on in situ measurements","Sample_design":"Equal probability of selection, according to certain characteristics. The selection is based on definitions of a typical dwelling corresponding to six sample spaces, divided by type of climatic area (Mediterranean, Continental, Atlantic) and type of dwelling (house, apartment).","Sample_Population_size":"600 households","Time_to_complete":"Four days per household","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":"Space heating, space cooling, water heating, refrigerators, freezers, dishwashers, washing machines, clothes dryers, televisions, computers, other.","Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rme06","Additional_observations":null,"Contact":null,"Country":"Sweden","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Quality control\r\nCommunication with household occupants","Methodology":"Measuring","Organisation":"<a href=\"http://www.energimyndigheten.se/en/\">Swedish Energy Agency</a>","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"Swedish Energy Agency (Sweden) ","Documentation_type":"Report","Available_documentation":"<a href=\"https://iea.blob.core.windows.net/assets/c531666e-7ab8-438c-bedd-cf89503f7710/Final_report_endusemetering.pdf\" title=\"\">End-use metering campaign in households in Sweden</a>","Collection_methods":null,"Frequency":"Only conducted once","Key_model_inputs":null,"Mandatory":null,"Sample_sources":"List of addresses","Survey_respondents":null,"Who_took_measurements":"Energy auditors","Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"The distributed data logging system (B-manage) developed by Enertech has been instrumental. Sweden developed a custom interface in SQL database to analyse measured data and to make estimates.","Name":"Metering of Household Electricity Use in 400 Households","Purpose":"To understand residential energy consumption patterns\r\ncomplement an existing survey\r\nTo understand diffusion of different types of equipment\r\nTo measure electricity use by type of equipment/end use (e.g. lighting, ventilation, white\r\ngoods, TVs, computers, etc.)\r\nTo complement energy statistics for one- and two-dwelling buildings","Recommendations":"Develop tools for quality control evaluation before the commencement of measurements","Sample_design":"Stratified random sampling approach","Sample_Population_size":"400","Time_to_complete":"Half a day per household (100 weeks for all households)","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":"Refrigerators, freezers, dishwashers, washing machines, clothes dryers, televisions, computers, lighting, other","Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rme07","Additional_observations":null,"Contact":null,"Country":"Togo","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Communication with household occupants","Methodology":"Measuring","Organisation":"<a href=\"https://energie.gouv.tg/\">Ministry of Mines and Energy</a>","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"Ministry of Mines and Energy (Togo) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":"No regular cycle","Key_model_inputs":null,"Mandatory":null,"Sample_sources":"National census","Survey_respondents":null,"Who_took_measurements":"Survey team undertaking the household survey","Elements_collected":null,"Equipment_used":"Scale to weigh the amount of wood used on a daily basis","Geo_climatic_measurements":"0","Key_best_practice":null,"Name":null,"Purpose":"To understand residential energy consumption patterns\r\nTo understand appliance utilisation patterns\r\nTo complement an existing survey","Recommendations":null,"Sample_design":"Simple random sampling, equal probability of selection","Sample_Population_size":"2 500","Time_to_complete":"Three days per household","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":"Space cooling, water heating","Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rmo01","Additional_observations":null,"Contact":null,"Country":"Albania","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Lack of input data\r\nLack of good model documentation","Methodology":"Modelling","Organisation":"<a href=\"http://www.akbn.gov.al/?lang=en\">National Agency of Natural Resources</a>","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"National Agency of Natural Resources (Albania) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":"Only conducted once","Key_model_inputs":"Water heating system\r\nDiffusion of residential appliances\r\nLighting fixture\r\nBuilding types\r\nHeating/cooling degree days","Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"The model has helped improve quality of energy data in the residential sector and estimate missing data","Name":null,"Purpose":"To estimate residential energy consumption\r\nTo estimate diffusion of residential appliances","Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":"Space heating energy consumption\r\nSpace cooling energy consumption\r\nWater heating energy consumption\r\nAppliance energy consumption\r\nLighting energy consumption\r\nTotal residential sector energy consumption","Model_type":"Bottom-up statistical model","Results_validated":"No","Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rmo02","Additional_observations":"The lack of primary source data relating to the residential sector has meant that estimations of energy use in this sector have been based on secondary sources and analysis of the residual of energy remaining after the estimates of other sectors� energy use. The modelling provides a thorough estimation framework to guide and improve the consistency of annual estimates. The top-down approach mainly attempts to identify price and income elasticities on a case-by-case basis for residential energy consumption for each Australian state and fuel type using a variety of indicators and fairly straightforward econometric techniques. The quality, periodicity and availability of input data limit the sophistication of techniques that can be used for this purpose.","Contact":"<a href=\"mailto:energy.statistics@industry.gov.au\">energy.statistics@industry.gov.au</a>","Country":"Australia","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Boundary issues\r\nLack of input data\r\nQuality control issues with input data","Methodology":"Modelling","Organisation":"<a href=\"http://www.environment.gov.au/\">Department of Agriculture, Water and the Environment</a>","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"Department of Environment and Energy (formely ender Australian Bureau of Resources and Energy Economics) (Australia) ","Documentation_type":"Results","Available_documentation":"Results: <a href=\"https://iea.blob.core.windows.net/assets/88b517d5-5c8f-43ff-bf62-047f9a4f6723/australian_energy_update_2018.pdf\" title=\"\">Australia Energy Statistics</a>","Collection_methods":null,"Frequency":"No regular cycle","Key_model_inputs":"Household occupancy\r\nTotal residential sector energy consumption\r\nEnergy prices\r\nMacroeconomic data\r\nHeating/cooling degree days","Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":null,"Purpose":"To estimate residential energy consumption","Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":"Energy consumption in the residential sector by state and fuel type","Model_type":"� Top-down econometric model \r\n� Modelling of the residential sector is done �in-house� using recognised econometric software, such as Stata and Eviews.","Results_validated":"No","Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rmo03","Additional_observations":null,"Contact":null,"Country":"Austria","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Infrequent surveys to feed the model with up-to-date data and trends","Methodology":"Modelling","Organisation":"<a href=\"http://www.statistik.at/web_en/statistics/index.html\">Statistics Austria</a>","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"Statistics Austria (Austria) ","Documentation_type":"Report","Available_documentation":"<a href=\"https://iea.blob.core.windows.net/assets/d5da3a29-9496-47dc-bb41-ab077bdb2796/Austria_residential_modelling_documentation.pdf\" title=\"\">Modelling of Power Consumption in Private Households in Austria</a>","Collection_methods":null,"Frequency":"Every two years","Key_model_inputs":"Household occupancy, floor area, dwelling demolition/construction rates, building types\r\nSocio-economic factors such as education, age and employment of household members\r\nTotal electricity consumption with regional breakdown, heating system\r\nUse of solar heating, electricity-powered space and water heating","Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"The model links the results of the detailed and infrequent survey Household Electricity Consumption by Purpose Survey with the annual survey Residential Energy Consumption Survey","Name":"Matching the results of Household Electricity Consumption Survey with Residential Energy Consumption Survey","Purpose":"To estimate end-use energy consumption\r\nTo estimate regional residential energy consumption\r\nTo estimate household power consumption in urban and rural areas\r\nTo complement data collected in a survey","Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":"Detailed electricity consumption of residential appliances\r\nLighting energy consumption\r\nStandby power\r\nOffice and communication equipment\r\nFan heaters, air conditioning, other","Model_type":"� Bottom-up statistical model \r\n� Custom-built survey-matching model","Results_validated":"No","Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rmo04","Additional_observations":null,"Contact":null,"Country":"Bosnia and Herzegovina","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Lack of input data","Methodology":"Modelling","Organisation":"<a href=\"http://www.eihp.hr/?lang=en\">Energy Institute Hrvoje Pozar</a>","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"Energy Institute Hrvoje Pozar in Croatia (Bosnia and Herzegovina) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":"Only conducted once","Key_model_inputs":"Space heating system\r\nSpace cooling system\r\nWater heating system\r\nDiffusion of residential appliances\r\nLighting\r\nHousehold occupancy\r\nDwelling demolition/construction rates\r\nBuilding types\r\nTechnology energy efficiency\r\nTotal residential sector energy consumption\r\nEnergy prices\r\nMacroeconomic data\r\nHeating/cooling degree days\r\nBuilding thermal envelope","Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"The regional modelling perspective allowed the identification of significant differences among households in different zones","Name":"End-use modelling using MAED tool","Purpose":"To estimate residential energy consumption by end use\r\nTo estimate diffusion of residential appliances\r\nTo estimate regional residential energy consumption\r\nTo estimate seasonal residential energy consumption\r\nTo estimate residential energy load profile\r\nTo complement data collected through another survey","Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":"Space heating energy consumption\r\nSpace cooling energy consumption\r\nWater heating energy consumption\r\nAppliance energy consumption\r\nLighting energy consumption\r\nSeasonal energy consumption\r\nRegional energy consumption\r\nTotal residential sector energy consumption","Model_type":"� Bottom-up engineering model \r\n� Custom-built model","Results_validated":"Yes: calibration with energy balances","Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rmo05","Additional_observations":null,"Contact":null,"Country":"Canada","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Lack of input data\r\nLack of data limits capacity to expand the model","Methodology":"Modelling","Organisation":"<a href=\"https://www.nrcan.gc.ca/\">Natural Resources Canada</a>","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"Natural Resources Canada (Canada) ","Documentation_type":"Results","Available_documentation":"Results: <a href=\"https://oee.nrcan.gc.ca/corporate/statistics/neud/dpa/menus/trends/comprehensive/trends_res_ca.cfm\" title=\"Comprehensive Energy Use Database Tables - Residential Sector\">Comprehensive Energy Use Database Tables - Residential Sector</a>","Collection_methods":null,"Frequency":"Every year","Key_model_inputs":"Space heating system\r\nSpace cooling system\r\nWater heating system\r\nDiffusion of residential appliances\r\nLighting\r\nHousehold occupancy\r\nDwelling demolition/construction rates\r\nBuilding types\r\nTotal residential sector energy consumption\r\nMacroeconomic data\r\nHeating/cooling degree days","Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"Results from the Survey of Households Energy Use are compared with data from the Survey of Household Spending, such as the distribution of households by fuel type and the penetration rate of appliances","Name":"Residential Energy End-Use Model","Purpose":null,"Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":"Space heating energy consumption\r\nSpace cooling energy consumption\r\nWater heating energy consumption\r\nAppliances energy consumption\r\nLighting energy consumption\r\nTotal residential sector energy consumption","Model_type":"� Bottom-up statistical model � The modelling tool was developed in-house and undergoes continuous improvements to take into account new or improved data","Results_validated":"Yes: the Report on Energy Supply and Demand in Canada from Statistics Canada and the National Inventory Report from Environment Canada.","Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rmo06","Additional_observations":"Limited to Split and Dalmatia County","Contact":null,"Country":"Croatia","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Lack of input data","Methodology":"Modelling","Organisation":"<a href=\"http://www.eihp.hr/?lang=en\">Energy Institute Hrvoje Pozar</a>","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"Energy Institute Hrvoje Pozar in Croatia (Croatia) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":"Every five years","Key_model_inputs":"Space heating system\r\nSpace cooling system\r\nWater heating system\r\nDiffusion of residential appliances\r\nLighting\r\nHousehold occupancy\r\nDwelling demolition/construction rates\r\nBuilding types\r\nTechnology cost\r\nTechnology life cycle\r\nTechnology energy efficiency\r\nTotal residential sector energy consumption\r\nEnergy prices\r\nMacroeconomic data\r\nHeating/cooling degree days\r\nBuilding thermal envelope","Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"The regional modelling perspective allowed the identification of significant differences among households in different zones","Name":"End-use modelling with MAED tool","Purpose":"To estimate residential energy consumption by end use and region\r\nTo estimate diffusion of residential appliances\r\nTo estimate seasonal residential energy consumption\r\nTo estimate residential energy load profile","Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":"Space heating energy consumption\r\nSpace cooling energy consumption\r\nWater heating energy consumption\r\nAppliance energy consumption\r\nLighting energy consumption\r\nSeasonal energy consumption\r\nRegional energy consumption\r\nTotal residential sector energy consumption","Model_type":"� Bottom-up engineering model \r\n� Custom-built model","Results_validated":"Yes: calibration with energy balance","Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rmo07","Additional_observations":"Work on this model has been ongoing since 2004 and the model is still not complete. Originally, the model�s objective was to estimate total household coal and biomass consumption. The model�s objective has currently shifted to better estimate the final household heating demand as energy prices fluctuate. The second goal is to better connect the statistics with household emissions statistics to build a coherent model for both purposes. The modelling benefits from the new household census (2011) and the ENERGY survey carried out by the Czech Statistics Office.","Contact":null,"Country":"Czech Republic","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":null,"Methodology":"Modelling","Organisation":"<a href=\"https://www.mpo.cz/default_en.html\">Ministry of Industry and Trade</a>","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"Ministry of Industry and Trade (Czech Republic) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":"Every year","Key_model_inputs":"Space heating system\r\nTotal residential sector energy consumption","Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":null,"Purpose":"To estimate residential space heating demand\r\nTo complement another data collection effort\r\nTo prepare the IEA Energy Efficiency Indicators questionnaire","Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":"Residential energy consumption in space heating","Model_type":"Bottom-up statistical model","Results_validated":"No","Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rmo08","Additional_observations":null,"Contact":"<a href=\"mailto:tfl@big2great.dk\">tfl@big2great.dk</a>","Country":"Denmark","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Lack of training for the modelling staff\r\nChoice of assumptions","Methodology":"Modelling","Organisation":"<a href=\"http://www.itenergy.dk/Start_en.aspx\">IT Energy</a>","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"IT Energy (Denmark) ","Documentation_type":"Results, Methodology","Available_documentation":"<a href=\"http://statistic.electric-demand.dk/\" title=\"ELMODEL data\">ELMODEL data</a>\r\n<a href=\"https://iea.blob.core.windows.net/assets/721e531b-c688-495e-9c9e-19458d97f8ff/_ELMODELbolig_short_descr.pdf\" title=\"\">ELMODEL information</a>","Collection_methods":null,"Frequency":"Every two years","Key_model_inputs":"Space heating system\r\nSpace cooling system\r\nWater heating system\r\nDiffusion of residential appliances\r\nLighting fixture\r\nHousehold occupancy\r\nDwelling demolition/construction rates\r\nBuilding types\r\nTechnology life cycle\r\nTechnology energy efficiency\r\nHeating/cooling degree days\r\nSales figures for specific appliance types","Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"The model uses a traditional bottom-up approach. An improved feature is the combined use of ownership levels and sales figures for specific appliances. Assuming a specific technical lifespan of an appliance, the theoretical sales per year can be calculated. This is then compared with actual sales figures (for the appliances where they can be collected) and adjustments are made.","Name":"ELMODEL","Purpose":"To estimate residential energy consumption by end use\r\nTo estimate regional residential energy consumption","Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":"Space heating energy consumption\r\nAppliances energy consumption\r\nLighting energy consumption\r\nRegional energy consumption\r\nTotal residential sector energy consumption\r\nConsumption by dwelling type\r\nConsumption by end use\r\nStandby power","Model_type":"Bottom-up engineering model \r\nCustom-built model with annual license fee","Results_validated":"Yes: the validation is against total consumption for the domestic sector derived from the energy utilities (Danish Energy Association)","Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rmo09","Additional_observations":null,"Contact":null,"Country":"Indonesia","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Lack of input data\r\nLack of good model documentation","Methodology":"Modelling","Organisation":"<a href=\"https://www.esdm.go.id/en/\">Data and Information Centre, Ministry of Energy and Mineral Resources</a>","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"Data and Information Centre, Ministry of Energy and Mineral Resources (Indonesia) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":"No regular cycle","Key_model_inputs":"Macroeconomic data","Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"Simulation model","Purpose":"To estimate residential energy consumption\r\nTo estimate regional residential energy consumption","Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":"Total residential sector energy consumption\r\nEnergy consumption by fuel type for residential sector","Model_type":"� Top-down model \r\n� Free software","Results_validated":"Yes: energy sales data","Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rmo10","Additional_observations":null,"Contact":null,"Country":"Italy","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Lack of input data\r\nQuality control issues with input data\r\nChoice of assumptions","Methodology":"Modelling","Organisation":"<a href=\"http://www.rse-web.it/home.page\">Ricerca sul Sistema Energetico</a>","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"Ricerca sul Sistema Energetico (Italy) ","Documentation_type":"Report","Available_documentation":"<a href=\"http://www.rse-web.it/progetti/progetto/457\" title=\"Report: Studi e valutazioni sull'uso razionale dell'energia elettrica\">Report: Studi e valutazioni sull'uso razionale dell'energia elettrica</a>\r\n","Collection_methods":null,"Frequency":"Every year","Key_model_inputs":null,"Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":null,"Purpose":"To estimate residential energy consumption by end use\r\nTo estimate diffusion of residential appliances","Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":"Space cooling energy consumption\r\nAppliances energy consumption\r\nLighting energy consumption","Model_type":"� Top-down technological model \r\n� Bottom-up engineering model \r\n� Custom-built model","Results_validated":"Yes: the results are calibrated with aggregated electricity consumption","Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rmo11","Additional_observations":null,"Contact":null,"Country":"Italy","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Quality control issues with the model\r\nLack of input data\r\nQuality control issues with input data\r\nChoice of assumptions\r\nLack of good model documentation","Methodology":"Modelling","Organisation":"<a href=\"http://www.isis-it.com/\">Institute of Studies for the Integration of Systems</a>","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"Institute of Studies for the Integration of Systems (Italy) ","Documentation_type":"Methodology, Report","Available_documentation":"<a href=\"https://iea.blob.core.windows.net/assets/7094aca4-6db5-4dc8-8056-c768b85c436f/The_MURE_Model.pdf\" title=\"Overview of MURE model - Italy\">Overview of MURE model</a>\r\n<a href=\"http://www.evaluate-energy-savings.eu/emeees/en/publications/reports/D12-14__Final.pdf\" title=\"Report on EMEEES project\">Report on EMEEES project</a>","Collection_methods":null,"Frequency":"No regular cycle","Key_model_inputs":"Space heating system\r\nWater heating system\r\nDiffusion of residential appliances\r\nLighting\r\nHousehold occupancy\r\nDwelling demolition/construction rates\r\nBuilding types\r\nTechnology life cycle\r\nTechnology energy efficiency\r\nTotal residential sector energy consumption\r\nEnergy prices\r\nMacroeconomic data\r\nBuilding thermal envelope","Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"No real innovative methods used. The model is a statistical and partly engineering bottom-up tool whose assumptions and results were checked by an expert panel.","Name":null,"Purpose":"To estimate diffusion of residential appliances\r\nTo estimate energy consumption by end use\r\nTo estimate residential energy load profile\r\nTo complement data collected through another survey","Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":"Space heating energy consumption\r\nWater heating energy consumption\r\nAppliance energy consumption\r\nLighting energy consumption\r\nTotal residential sector energy consumption","Model_type":"� Bottom-up statistical model \r\n� Bottom-up engineering model \r\n� Custom-built model","Results_validated":"Yes: comparison and calibration at the reference year against Eurostat and ODYSSEE data","Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rmo12","Additional_observations":null,"Contact":null,"Country":"Mexico","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Lack of input data\r\nQuality control issues with input data\r\nChoice of assumptions","Methodology":"Modelling","Organisation":"<a href=\"https://www.gob.mx/sener\">Ministry of Energy</a>","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"Ministry of Energy (Mexico) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":"Every two years","Key_model_inputs":"Space heating system\r\nSpace cooling system\r\nWater heating system\r\nDiffusion of residential appliances\r\nLighting\r\nHousehold occupancy\r\nHeating/cooling degree days\r\nFloor area\r\nBehaviour-based consumption patterns were derived from a national survey\r\nAverage power consumption of appliances was provided by manufacturers","Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"Results of a household survey conducted every two years by the National Institute of Statistics were used for appliance utilisation patterns and general household characteristics. Given the lack of resources, this is a very good way to construct energy efficiency indicators because data continuity can be maintained.","Name":"Energy Consumption by End Use in the Residential Sector","Purpose":"To estimate diffusion of residential appliances\r\nTo estimate residential energy consumption by end use","Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":"Space heating energy consumption\r\nSpace cooling energy consumption\r\nWater heating energy consumption\r\nAppliance energy consumption\r\nLighting energy consumption\r\nTotal residential sector energy consumption","Model_type":"� Bottom-up statistical model \r\n� The model was developed using MS Excel and SPSS software","Results_validated":"Yes: the total energy consumption in the residential sector calculated in the model was validated against data published in the National Energy Balance","Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rmo13","Additional_observations":"EECA has a plan to get the database updated on an annual basis. Economy-wide and sectoral fuel type data are obtained from government published sources and then allocated across end uses, technologies, and regional and territorial authorities. The results are in the form of estimates.","Contact":null,"Country":"New Zealand","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Quality control issues with the model\r\nLack of input data\r\nQuality control issues with input data\r\nChoice of assumptions","Methodology":"Modelling","Organisation":"<a href=\"https://www.eeca.govt.nz/\">Energy Efficiency and Conservation Authority</a>","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"Energy Efficiency and Conservation Authority (EECA) (New Zealand) ","Documentation_type":"Results","Available_documentation":"Results: <a href=\"https://tools.eeca.govt.nz/energy-end-use-database/\" title=\"Energy end use database\">Energy end use database</a>","Collection_methods":null,"Frequency":"Every five years","Key_model_inputs":"Diffusion of appliances\r\nHousehold occupancy\r\nBuilding types\r\nTechnology life cycle\r\nMacroeconomic data\r\nHeating/cooling degree days","Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"The database dates back to 1987. EECA purchased the ownership rights with the objective to utilise it for internal analysis and also with the aim to share it with the public.","Name":"New Zealand Energy End-Use Database","Purpose":"To estimate end-use energy consumption\r\nTo estimate regional residential energy consumption\r\nTo meet partial fulfilment of EECA to monitor and analyse energy use in New Zealand\r\nTo provide a tool for market researchers, investment advisers, energy forecasters and policy analysts","Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":"Space heating energy consumption\r\nSpace cooling energy consumption\r\nWater heating energy consumption\r\nAppliances energy consumption\r\nLighting energy consumption","Model_type":"� Bottom-up statistical model \r\n� Purchased an existing model","Results_validated":"Yes: the estimates are validated with national New Zealand statistics and other organisations","Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rmo14","Additional_observations":null,"Contact":null,"Country":"Romania","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":null,"Methodology":"Modelling","Organisation":"<a href=\"https://insse.ro/cms/en\">National Institute of Statistics</a>","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"National Institute of Statistics (Romania) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":"No regular cycle","Key_model_inputs":"Household occupancy\r\nTotal residential sector energy consumption","Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":null,"Purpose":"To estimate final energy consumption by end use","Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":"Space heating energy consumption\r\nAppliances energy consumption\r\nCooking energy consumption\r\nLighting energy consumption","Model_type":"Bottom-up engineering model","Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rmo20","Additional_observations":null,"Contact":"<a href=\"mailto:ceu@ijs.si\">ceu@ijs.si</a>","Country":"Slovenia","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Choice of assumpitons, Lack of data especially on renewables (sales data for new boilers, heat pumps). Modeling of energy consumption for heating because households have many different technologies simultaneously e.g. boiler for central heating, fireplace, electric heater and they switch between themor use them all together.","Methodology":"Modelling","Organisation":"<a href=\"https://ceu.ijs.si/en/\">Jo�ef Stefan Institute � Energy Efficiency Centre</a>","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"Jo�ef Stefan Institute � Energy Efficiency Centre (Slovenia) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":null,"Key_model_inputs":"Household occupancy/floor area per building types\r\nDwelling demolition/construction rates\r\nRenovation rate\r\nHeating/cooling degree days\r\nSolar heating systems\r\nStructure of newly purchased heating appliances\r\nStructure of different systems used for hot water preparation\r\nLighting fixture\r\nSales figures for specific appliance types\r\nDiffusion of residential appliances\r\nTechnology energy efficiency","Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"Detailed modelling of households consumption. In years when households survey is performed model assumption are checked against the results of the survey and updated. Model results are used for statistics of renewables consumption in households. Yearly modelling enables constant improvement of the model. The same model is used for projections.","Name":"MESAP REES-SLO2 Households","Purpose":"Detailed modelling of energy consumption in households","Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":"Consumption by end use (heating, hot water, Cooking)\r\nAppliances energy consumption\r\nConsumption by fuel\r\nTotal energy consumption in households","Model_type":"Bottom up engineering model � custom built model","Results_validated":"Yes, Results are yearly validated with statistical data for fossil fuels and electricity and district heating data. Every five years results are validated against survey results.","Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rmo15","Additional_observations":null,"Contact":"<a href=\"mailto:ciudadano@idae.es\">ciudadano@idae.es</a>","Country":"Spain","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Boundary issues\r\nQuality control issues with input data\r\nChoice of assumptions","Methodology":"Modelling","Organisation":"<a href=\"https://www.idae.es/\"> IDAE - Institute for Energy Diversification and Conservation</a>","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"IDAE - Institute for Energy Diversification and Conservation (Spain) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":"Every year","Key_model_inputs":"Household occupancy\r\nTotal residential sector energy consumption\r\nMacroeconomic data\r\nHeating/cooling degree days","Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":null,"Purpose":"To estimate diffusion of residential appliances\r\nTo estimate energy consumption by end use","Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":"Space heating energy consumption\r\nSpace cooling energy consumption\r\nWater heating energy consumption\r\nAppliances energy consumption\r\nLighting energy consumption","Model_type":"� Top-down technological model \r\n� Custom-built model","Results_validated":"Yes: the modelling results are validated against existing surveys and measurements","Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rmo16","Additional_observations":null,"Contact":null,"Country":"Switzerland","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Lack of input data\r\nIncluding new trends whenever possible","Methodology":"Modelling","Organisation":"<a href=\"https://www.bfe.admin.ch/bfe/de/home.html\">Swiss Federal Office of Energy; Prognos AG</a>","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"Swiss Federal Office of Energy; Prognos AG (Switzerland) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":"Every year","Key_model_inputs":"Space heating system\r\nSpace cooling system\r\nWater heating system\r\nDiffusion of residential appliances\r\nLighting\r\nHousehold occupancy\r\nDwelling demolition/construction rates building types\r\nTechnology life cycle\r\nTechnology energy efficiency\r\nTotal residential sector energy consumption\r\nBuilding thermal envelope\r\nHeating degree days and radiation data\r\nEnergy reference area\r\nHousehold structure by size\r\nBuilding stock by period of construction\r\nAnnual sales of equipment\r\nEnergy subsidies data","Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"The analysis of energy consumption by end use is based on the models developed for the energy perspectives. Fifteen years of experience and annual model runs have helped to increase the number of inputs in all fields of data sources","Name":"Residential Energy Consumption Model","Purpose":"To estimate residential energy consumption by end use\r\nTo estimate energy consumption by determinant factors","Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":"Space heating energy consumption\r\nWater heating energy consumption\r\nAppliances energy consumption\r\nLighting energy consumption","Model_type":"� Bottom-up energy-economic model, close to bottom-up engineering model \r\n� Custom-built model","Results_validated":"Yes: calibration with Swiss energy statistics","Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rmo17","Additional_observations":null,"Contact":null,"Country":"Switzerland","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Quality control issues with the model\r\nModelling boundary definition\r\nLack of input data\r\nQuality control issues with input data","Methodology":"Modelling","Organisation":"<a href=\"https://www.tep-energy.ch/en/home/\">TEP Energy</a>","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"TEP Energy (Switzerland) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":"Every two years","Key_model_inputs":"Space heating system\r\nSpace cooling system\r\nWater heating system\r\nDiffusion of residential appliances\r\nLighting fixture\r\nHousehold occupancy\r\nDwelling demolition/construction rates\r\nBuilding types\r\nTechnology life cycle\r\nTechnology energy efficiency\r\nTotal residential sector energy consumption\r\nHeating/cooling degree days\r\nBuilding thermal envelope","Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"The model incorporated spatial analysis. Energy consumption was compared with spatially differentiated potentials of renewable energies and existing energy infrastructure elements using geographical information system.","Name":null,"Purpose":"To estimate residential energy consumption by end use\r\nTo estimate diffusion of residential appliances\r\nTo estimate regional residential energy consumption","Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":"Space heating energy consumption\r\nSpace cooling energy consumption\r\nWater heating energy consumption\r\nAppliance energy consumption\r\nLighting energy consumption\r\nRegional energy consumption\r\nTotal residential sector energy consumption","Model_type":"� Bottom-up engineering model \r\n� Custom-built model","Results_validated":"Yes: compare model output with national statistical data","Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rmo18","Additional_observations":null,"Contact":"<a href=\"mailto:Energyefficiency.stats@decc.gsi.gov.uk\">Energyefficiency.stats@decc.gsi.gov.uk</a>","Country":"United Kingdom","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Quality control issues with the model\r\nLack of input data\r\nChoice of assumptions","Methodology":"Modelling","Organisation":"<a href=\"https://www.gov.uk/government/organisations/department-of-energy-climate-change\">Department of Energy and Climate Change</a>","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"Department of Energy and Climate Change (United Kingdom) ","Documentation_type":"Methodology","Available_documentation":"Methodology: <a href=\"https://iea.blob.core.windows.net/assets/38643605-78ab-4fe1-9edc-ebf07d98fc07/UK_BREDEM_model_description.pdf\" title=\"UK BREDEM model description\">BREDEM model description</a>","Collection_methods":null,"Frequency":"Every year","Key_model_inputs":"Building types\r\nMacroeconomic data\r\nHeating/cooling degree days\r\nBuilding thermal envelope","Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"BREhomes/BREdem","Purpose":"To estimate residential energy consumption by end use\r\nTo estimate regional residential energy consumption","Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":"Space heating energy consumption\r\nWater heating energy consumption\r\nAppliances energy consumption\r\nLighting energy consumption\r\nCooking","Model_type":"� Bottom-up statistical model \r\n� Custom-built model","Results_validated":"Yes: total domestic consumption is validated against the energy balance data","Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rmo19","Additional_observations":null,"Contact":null,"Country":"United States","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Quality control issues with the model\r\nModelling boundary definition\r\nQuality control issues with input data\r\nChoice of assumptions\r\nLack of good end-use modelling literature","Methodology":"Modelling","Organisation":"<a href=\"https://www.eia.gov/\">Energy Information Administration</a>","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"Energy Information Administration (United States) ","Documentation_type":"Methodology","Available_documentation":"<a href=\"https://www.eia.gov/consumption/residential/data/2009/index.php?view=methodology\" title=\"RECS methodology\">RECS methodology</a>","Collection_methods":null,"Frequency":"Every four years","Key_model_inputs":"Space heating system\r\nSpace cooling system\r\nWater heating system\r\nDiffusion of residential appliances\r\nLighting\r\nHousehold occupancy\r\nBuilding types\r\nTechnology energy efficiency\r\nEnergy prices\r\nMacroeconomic data\r\nHeating/cooling degree days\r\nBuilding thermal envelope","Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"The basic structure of the model has not significantly changed since it was first developed in the late 1970s. The 2009 RECS model takes advantage of the larger sample size and newly added end-use questionnaire items. Further, the 2009 RECS model incorporates monthly consumption and expenditure data directly, instead of aggregated annual data. The underlying structure of the RECS model is periodically assessed to determine whether significant changes are necessary to bring the model on par with the state-of-the-art residential end-use consumption modelling.","Name":"Residential Energy Consumption Survey (RECS) End-Use Modelling","Purpose":"To estimate residential energy consumption\r\nTo estimate energy consumption of appliances\r\nTo estimate regional residential energy consumption\r\nTo estimate residential energy load profile","Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":"Space heating energy consumption\r\nSpace cooling energy consumption\r\nWater heating energy consumption\r\nAppliances energy consumption\r\nLighting energy consumption\r\nRegional energy consumption\r\nTotal energy consumption for residential sector","Model_type":"� Bottom-up statistical model\r\n� Built in-house","Results_validated":"Statistical tests comparing RECS estimates with all available published end-use consumption estimates from similar national and regional studies","Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rsu01","Additional_observations":null,"Contact":null,"Country":"Albania","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Response quality","Methodology":"Surveying","Organisation":"<a href=\"http://www.akbn.gov.al/?lang=en\">National Agency of Natural Resources</a>","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"National Agency of Natural Resources (Albania) ","Documentation_type":"Questionnaire","Available_documentation":"<a href=\"https://iea.blob.core.windows.net/assets/33da391a-438b-49dc-ad3e-89f4a40caadb/Albania_residential_survey_questionnaire.pdf\" title=\"Albania residential survey questionnaire\">Albania residential survey questionnaire</a> (Albanian)","Collection_methods":"In-house visit","Frequency":"No regular survey cycle","Key_model_inputs":null,"Mandatory":"0","Sample_sources":"National census","Survey_respondents":"Households","Who_took_measurements":null,"Elements_collected":"Dwelling type, dwelling floor area, building age, household occupancy, income,�identification of main appliances, number of light fixtures, types of lighting, residential�energy consumption","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"Energy Consumption in Household","Purpose":"To determine total residential energy consumption\r\nTo determine residential appliances energy consumption\r\nTo collect residential appliances diffusion\r\nTo collect household energy expenditure\r\nTo collect dwelling physical characteristics","Recommendations":"The questionnaire should be simple with clear questions and instructions. Training of the�interviewing staff is essential to ensure quality control of responses.","Sample_design":"Stratified random sampling approach","Sample_Population_size":"1 000 / 700 000","Time_to_complete":"20 minutes","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":"14%","End_uses_covered":"Space cooling, space heating, water heating, lighting, freezers, washing machines, other�small appliances","Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rsu02","Additional_observations":null,"Contact":null,"Country":"Austria","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Inconsistent responses\r\nResponse quality","Methodology":"Surveying","Organisation":"<a href=\"http://www.statistik.at/web_en/statistics/index.html\">Statistics Austria</a>","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"Statistics Austria (Austria) ","Documentation_type":"Methodology, Questionnaire, Results","Available_documentation":"<a href=\"https://iea.blob.core.windows.net/assets/aefbc810-c065-4152-a9bf-81f96b7d09b6/standard_documentation_meta_information_energy_consumption_of_households_Downloaded_MS.pdf\" title=\"\">Austria - Random Sample Survey Energy Consumption of Households (includes sample questionnaire)</a>","Collection_methods":"Computer-assisted personal interview\r\nComputer-assisted telephone interview","Frequency":"Every two years","Key_model_inputs":null,"Mandatory":"0","Sample_sources":"List of addresses, list of telephone numbers, labour force survey","Survey_respondents":"Households","Who_took_measurements":null,"Elements_collected":"Dwelling type, dwelling floor area, building age, household occupancy, energy-related�renovations, residential energy consumption and related expenditures","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"A new approach to data control compared with previous surveys was taken for the first time�in 2004 and continued in the follow-up survey runs. Up to and including the 2000 survey,�only the individual energy sources themselves were checked for plausibility. Any missing�data were calculated (quantity-value pairs) and substitutions were made if necessary. Such�routines of course continue to be used, with the additional step that the total of the reported�energy consumption is then related to a calculated (fictitious) overall consumption. This�fictitious overall consumption by the household is calculated from the data for that�household, on the one hand (floor space, number of people in household) and preset�parameters for the individual types of use (space heating, water heating, cooking, other�purposes), on the other hand. Calculating the total reported energy consumption per�household in this way involves some quite complicated plausibility routines, because one or�more alternative quantities have to be calculated if the quantity-value pairs do not match�and these alternative quantities then, when variably applied, lead to a number of different�calculated overall energy consumption figures. The fictitious standard value is then used to�select the quantity-value pairs that appear most probable.","Name":"Residential energy consumption survey","Purpose":"To determine total residential energy consumption\r\nTo determine residential appliances energy consumption\r\nTo collect household energy expenditure\r\nTo collect dwelling physical characteristics\r\nTo collect household occupant characteristics","Recommendations":null,"Sample_design":"Stratified random sampling approach","Sample_Population_size":"14 000 / 3 429 720","Time_to_complete":"10 minutes","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"None","Population_description":null,"Response_rate":"55%","End_uses_covered":"Space cooling, space heating, water heating, other: cooking","Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rsu33","Additional_observations":null,"Contact":null,"Country":"Belarus","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Incomplete survey\r\nHigh time expenditures\r\nDifficulties in estimation of wood fuels consumption","Methodology":"Surveying","Organisation":"<a href=\"https://www.belstat.gov.by/en/\">National Statistical Committee of the Republic of Belarus</a>","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"National Statistical Committee of the Republic of Belarus (Belarus) ","Documentation_type":"Questionnaire","Available_documentation":"<a href=\"https://iea.blob.core.windows.net/assets/b673b331-6f2d-4a1d-9fad-d5193e89196e/1_survey_2015.pdf\" title=\" Belarus survey 1\">Belarus_Survey example 1 - (Russian language)</a>\r\n<a href=\"https://iea.blob.core.windows.net/assets/b673b331-6f2d-4a1d-9fad-d5193e89196e/4_survey_2015.pdf\" title=\"Belarus survey 4\">Belarus_Survey example 4 - (Russian language)</a>","Collection_methods":"Interview and self-registration of information in the respondent's diary","Frequency":"Once in 5 years","Key_model_inputs":null,"Mandatory":"0","Sample_sources":"Survey of Energy Consumption was carried out as part of the annual household survey on the standard of living by including additional questions in the annual and quarterly questionnaires. \r\nGeneral population: households living in the Republic of Belarus according to the final data of the population census of the Republic of Belarus of 2009.","Survey_respondents":"Households","Who_took_measurements":null,"Elements_collected":"Annual questionnaire:\r\nbasic questions � dwelling type, dwelling floor area,�household members;\r\nadditional questions � identification of�main appliances from the heating, hot water, cooking, types of lighting.\r\nQuarter questionnaire:\r\nbasic questions �� information on incomes and expenses of households;\r\nadditional questions � energy consumption of households.","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"The survey requires insignificant material costs, as it is carried out as part of an annual survey on the standard of living of households using well-trained tools and experienced interviewers.","Name":"Survey of Energy Consumption in Residential Sector","Purpose":"To collect characteristics of households members\r\nTo collect data on distribution of household appliances in residential sector\r\nTo collect data on energy expenditure in residential sector\r\nTo determine energy consumption in residential sector\r\nTo determine norms of energy consumption for heating, hot water supply, cooking, lighting and household appliances for one household member and for one unit of dwelling�","Recommendations":"Specify data on wood fuels consumption (for example, by wood species).\r\nCollect data on the consumption of fuel and energy by households not on a quarterly but on an annual basis.�","Sample_design":"Three-layered sample stratified by territorial basis using the probabilistic selection method. ","Sample_Population_size":"6 000 / 3 873 000","Time_to_complete":"Interview  � 60 minutes; self-registration in the diary � during the year","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"For participation in the regular survey of households on the standard of living, respondents receive a monetary reward","Population_description":null,"Response_rate":"100% � annual questionnaire, 85% � quarter questionnaire","End_uses_covered":"Heating, hot water supply, cooking, lighting and appliances","Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rsu03","Additional_observations":null,"Contact":null,"Country":"Belgium","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":null,"Methodology":"Surveying","Organisation":"<a href=\"https://vito.be/en\">Vision on Technology</a>","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"Vision on Technology (Belgium) ","Documentation_type":"Report","Available_documentation":"<a href=\"https://www.energiesparen.be/sites/default/files/atoms/files/Eurostatenquete_onderzoeksrapport.docx\">Report - Energy Consumption Survey for Belgian households</a>","Collection_methods":"Computer-assisted personal interview\r\nIn-house visit","Frequency":"Every two years","Key_model_inputs":null,"Mandatory":"0","Sample_sources":"National census, lists of addresses","Survey_respondents":"Households","Who_took_measurements":null,"Elements_collected":"Dwelling type, dwelling floor area, building age, household occupancy, income,�identification of main appliances, number of light fixtures, types of lighting, energy-related�renovations, renewable equipment, residential energy consumption","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"Two yearly surveys on energy behaviour and energy awareness by the Flemish energy\r\nagency (Flemish region)","Purpose":"To determine total residential energy consumption\r\nTo determine residential appliances energy consumption\r\nTo collect residential appliances diffusion\r\nTo collect dwelling physical characteristics\r\nTo collect household occupant characteristics\r\nTo complement another data collection/estimation effort","Recommendations":null,"Sample_design":"Stratified random sampling approach","Sample_Population_size":"1 000 / 2 500 000","Time_to_complete":"50 minutes","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"Non-cash incentives","Population_description":null,"Response_rate":"Not available","End_uses_covered":"Space heating, water heating, lighting, refrigerators, freezers, dishwashers, washing�machines, clothes dryers, televisions, computers.","Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rsu10","Additional_observations":null,"Contact":null,"Country":"Bosnia and Herzegovina","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Incomplete surveyQuality of the interviewing staff","Methodology":"Surveying","Organisation":"<a href=\"http://www.eihp.hr/?lang=en\">Energy Institute Hrvoje Pozar</a>","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"Energy Institute Hrvoje Pozar (Bosnia and Herzegovina) ","Documentation_type":"Report","Available_documentation":"<a href=\"https://iea.blob.core.windows.net/assets/8a88307d-4dee-4780-a38f-83aed3a97752/m1b_fr.pdf\" title=\"Energy Sector Study Bosnia &amp; Herzegovina final report (includes questionnaire example)\">Energy Sector Study Bosnia-Herzegovina final report (includes questionnaire example)</a>","Collection_methods":"In-house visit","Frequency":"Only conducted once","Key_model_inputs":null,"Mandatory":null,"Sample_sources":"National census, lists from energy suppliers, lists of addresses, lists of telephone numbers","Survey_respondents":"Households","Who_took_measurements":null,"Elements_collected":"Dwelling type, dwelling floor area, building age, household occupancy, income,�identification of main appliances, number of light fixtures, types of lighting, energy-related�renovations, renewable equipment, residential energy consumption, information fromenergy bills, information from energy suppliers, on-site energy audit","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"Survey was used to identify more precisely the number of inhabitants in Bosnia and�Herzegovina. Households were split into 20 energy zones. Overall country was analysed.�Survey identified consumption of fuel wood. Developed software for data storing andprocessing.","Name":"Survey on energy consumption in Bosnia and Herzegovina","Purpose":"To determine total residential energy consumption\r\nTo determine residential appliances energy consumption\r\nTo collect residential appliances diffusion\r\nTo collect household energy expenditure\r\nTo collect dwelling physical characteristics\r\nTo collect household occupant characteristics","Recommendations":"Using educated market research company, repeating the survey","Sample_design":"Stratified random sampling approach","Sample_Population_size":"4 000 / 1 200 000","Time_to_complete":"25 minutes","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":"60%","End_uses_covered":"Space cooling, space heating, water heating, lighting, refrigerators, freezers, dishwashers,�washing machines, clothes dryers, televisions, computers, other small appliances","Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rsu26","Additional_observations":null,"Contact":null,"Country":"Bosnia and Herzegovina","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Exhausted sample frame for the sample design of households\r\nResponse quality (understanding of fuel type)","Methodology":"Surveying","Organisation":"<a href=\"https://bhas.gov.ba/?option=com_content&amp;view=article&amp;id=46&amp;lang=en\">Agency for Statistics of Bosnia and Herzegovina (BHAS) in cooperation with \r\nBiH entity statistical offices\r\n</a>","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"Agency for Statistics of Bosnia and Herzegovina (BHAS) in cooperation with BiH entity statistical offices\r\n (Bosnia and Herzegovina) ","Documentation_type":"Methodology, Project website, Questionnaire","Available_documentation":"<a href=\"https://iea.blob.core.windows.net/assets/58edebf2-81d1-4559-ae27-e36af3f1407f/PotrosnjaEnergijeFinalBS.pdf\" title=\"Survey on Household energy Consumption in BIH (Language: English and Bosnian) - It contains the Survey.\">Bosnia and Herzegovina - R/Su/26 - Survey Results Report (Eng)</a>\r\n<a href=\"https://iea.blob.core.windows.net/assets/58edebf2-81d1-4559-ae27-e36af3f1407f/APED1upitnikBOSfinA4.pdf\" title=\"Survey (Language: Bosnian)\">Bosnia and Herzegovina - R/Su/26 - Survey's Questionnaire (Language: Bosnian)</a>\r\n<a href=\"https://iea.blob.core.windows.net/assets/58edebf2-81d1-4559-ae27-e36af3f1407f/APEDprezentacijafinalBD.ppt\" title=\"Presentation for interviewers and controllers training (Language: Bosnian)\">Bosnia and Herzegovina - R/SU/26 - \r\nPresentation for interviewers and controllers training (Language: Bosnian)</a>","Collection_methods":"PAPI type of survey (Paper and Pencil Interviewing)","Frequency":"No regular survey cycle","Key_model_inputs":null,"Mandatory":"0","Sample_sources":"The sample design of households was carried out from sample frame called Master sample frame, which was established in 2009. Master sample frame contains 67 974 households. ","Survey_respondents":"The member of the household living in the dwelling with enough knowledge on energy consumption in the dwelling.\t","Who_took_measurements":null,"Elements_collected":"�\r\nbasic data on household;\r\ndwelling characteristics (dwelling type, age, total floor area, size of heated / cooled area of dwelling, installations of renewable equipment);\r\ninstallations and fuel used for heating;\r\nfuel used for cooking;\r\ninstallations and fuel used for water heating;\r\nair-conditioning;\r\nidentification of household appliances and its age;\r\npersonal car use (number and fuel use for each);\r\nenergy consumption and energy costs in household.","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"Survey APED is the first household sample survey for the purposes of �energy statistics in Bosnia and Herzegovina and experience gained in this survey will be a great benefit for future surveys in energy statistics.","Name":"Survey on Energy Consumption in Households in Bosnia and Herzegovina (APED)","Purpose":"to improve the statistical data on final energy consumption in households (private dwellings) by end use with interest in the use of renewable energy sources (wood, solar energy, etc.);\r\nto find out how the energy is used in private dwellings for heating, cooling, water heating, cooking, electrical appliances, passenger cars;\r\nto determine total energy consumption in households and upgrade annual energy balances.","Recommendations":"use of sample frame based on Population census 2013;\r\nuse of computer-assisted personal interview (CAPI) or computer-assisted telephone interview (CATI);\r\nor use of combined methods.","Sample_design":"Stratified random sampling approach","Sample_Population_size":"7 083/ 1 033 452 households","Time_to_complete":"20min (average)","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":"85%","End_uses_covered":"space heating;\r\nspace cooling;\r\nwater heating installations;\r\nuse of household appliances (refrigerators, freezers, washing machines, clothes dryers, dishwashers, microwaves, kettles, televisions, personal computers, printers).","Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rsu05","Additional_observations":null,"Contact":null,"Country":"Canada","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Low response rate\r\nIncomplete survey\r\nInconsistent responses\r\nResponse quality","Methodology":"Surveying","Organisation":"<a href=\"https://www.nrcan.gc.ca/\">Natural Resources Canada</a>","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"Natural Resources Canada (Canada) ","Documentation_type":"Project website, Questionnaire","Available_documentation":"<a href=\"https://iea.blob.core.windows.net/assets/535c7231-30b7-42dd-a84d-5c99f27dbcb8/sheu07_detailedreport.pdf\" title=\"\">Canada - Survey of Household Energy Use</a>\r\n<a href=\"https://oee.nrcan.gc.ca/publications/statistics/sheu-euiod07/appendixb.cfm?attr=0\" title=\"SHEU questionnaires\">SHEU questionnaires</a>","Collection_methods":"Paper form sent by mail","Frequency":"No regular survey cycle","Key_model_inputs":null,"Mandatory":"0","Sample_sources":"The respondents for the households and the environment survey (HES) were people from the area frame of the Canadian community health survey (CCHS) who were interviewed for the CCHS. The respondents were then surveyed for the telephone portion of the HES to get the SHEU.","Survey_respondents":"Households, property managers/landlords","Who_took_measurements":null,"Elements_collected":"Dwelling type, dwelling floor area, building age, household occupancy, identification of�main appliances, number of light fixtures, types of lighting, energy-related renovations,�renewable equipment, residential energy consumption, information from energy bills,information from energy suppliers","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"For the 2007 SHEU, the survey included both low-rise and high-rise apartments to highlightthe differences between households that live in low-rise apartments and that live in highriseapartments.","Name":"Survey of Household Energy Use (SHEU)","Purpose":"To determine total residential energy consumption\r\nTo determine residential appliances energy consumption\r\nTo collect residential appliances diffusion\r\nTo collect household energy expenditure\r\nTo collect dwelling physical characteristics\r\nTo collect household occupant characteristics","Recommendations":"Increased sample size and use of computer-assisted personal interview","Sample_design":"Stratified random sampling approach","Sample_Population_size":"21 690 / 12 932 350","Time_to_complete":"60 minutes","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"None","Population_description":null,"Response_rate":"45%","End_uses_covered":"Space cooling, space heating, water heating, lighting, refrigerators, freezers, dishwashers,�washing machines, clothes dryers, televisions, computers, other small appliances: personal�computers, computer printers, computer monitors, DVDs, VCRs, home theatre systems, video�game consoles, telephones, water coolers","Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rsu06","Additional_observations":null,"Contact":null,"Country":"China","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Response quality, need for additional modelling work","Methodology":"Surveying","Organisation":"Tsinghua University and Ministry of Agriculture of PRC","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"Tsinghua University and Ministry of Agriculture of PRC (China) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":"Face-to-face survey (500 students and local government)","Frequency":"No regular survey cycle","Key_model_inputs":null,"Mandatory":"0","Sample_sources":"Designated by the local government","Survey_respondents":"Households","Who_took_measurements":null,"Elements_collected":"Dwelling type, household occupancy, identification of main appliances, occupant behaviour,�energy consumption by fuel","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"National rural residential buildings energy consumption survey","Purpose":"To collect dwelling physical characteristics\r\nTo collect household occupant characteristics and occupant behaviour data\r\nTo collect household energy consumption data by type of fuels","Recommendations":"Educate the panellists by regularly repeating the surveys every two years","Sample_design":"Random sampling approach","Sample_Population_size":"3 200 households","Time_to_complete":"40 minutes","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"None","Population_description":null,"Response_rate":"100%","End_uses_covered":"Space heating, water heating, appliances, etc.","Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rsu07","Additional_observations":null,"Contact":null,"Country":"China","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Response quality, need for additional modelling work","Methodology":"Surveying","Organisation":"Tsinghua University and China Council for International Cooperation on Environment and\r\nDevelopment","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"Tsinghua University and China Council for International Cooperation on Environment and \rDevelopment (China) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":"Face-to-face survey, data from Electrical Bureau","Frequency":"No regular survey cycle","Key_model_inputs":null,"Mandatory":"0","Sample_sources":"National census","Survey_respondents":"Households","Who_took_measurements":null,"Elements_collected":"Dwelling type, dwelling floor area, household occupancy, identification of main appliances,�occupant behaviour, energy consumption by fuel","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"National urban residential buildings energy consumption survey","Purpose":"To collect dwelling physical characteristics\r\nTo collect household occupant characteristics and occupant behaviour data\r\nTo collect household energy consumption data","Recommendations":"Educate the panellists by regularly repeating the surveys","Sample_design":"Stratified random sampling approach","Sample_Population_size":"7 000 households (1 000 households per city)","Time_to_complete":"60 minutes","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"Non-cash incentives","Population_description":null,"Response_rate":"60%","End_uses_covered":"Space cooling, space heating, water heating, appliances (refrigerators, freezers, washing�machines, televisions, computers, etc.)","Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rsu39","Additional_observations":null,"Contact":null,"Country":"Costa Rica","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Maintaining a high response rate;\r\nQuality of householder answers;\r\nQuality of the interviewing staff;\r\nSurvey conducted under contract and without full control.","Methodology":"Surveying","Organisation":"Energy Planning Secretariat","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"Energy Planning Secretariat (Costa Rica) ","Documentation_type":"Project website, Report","Available_documentation":"<a href=\"https://sepse.go.cr/nuestros-productos/encuestas-sectoriales/\">Survey documentation</a>\r\n<a href=\"https://iea.blob.core.windows.net/assets/d62ba0e3-aa1c-49ea-bad3-b65ef18ff885/Estudioparalacaracterizaciondelconsumoenergeticoenelsectorresidencial.pdf\" title=\"\">Report - Energy Consumption in the Residential Sector</a>","Collection_methods":"In-house visit","Frequency":"6 years ","Key_model_inputs":null,"Mandatory":"0","Sample_sources":"In situ survey","Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":"Household occupancy, identification of main appliances, number of light fixtures, types of lighting, cooking habits, high energy consumption equipment, entertainment and other devices, energy-related renovations, renewable equipment, residential energy consumption, information from energy bills, information from energy suppliers.","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"Systematic quality control procedures in all the different data processing stages; additional supervision on the execution of the in situ surveys.","Name":"Survey of Household Energy Use","Purpose":"To track energy consumption over time;\r\nTo determine total residential energy consumption;\r\nTo determine residential appliances energy consumption;\r\nTo collect residential appliances diffusion;\r\nTo collect household energy expenditure;\r\nTo collect household occupant characteristics.","Recommendations":"Develop and test a methodology for end uses electric load profile determination in the residential sector so by simple measurement on the load profile it can validate, improve or replace respondent answers electric consumption, energy equipment characteristics, or other more technical information. Redesigning repetitive series to reduce interview time, improving accuracy of behavioural frequency questions, and use of computer-assisted tools to record the answers directly to the database.","Sample_design":"Stratified random sampling approach","Sample_Population_size":"1500 / 1 315 038","Time_to_complete":"25-35 minutes","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"None","Population_description":null,"Response_rate":"79%","End_uses_covered":"Water heating, lighting, refrigerators, freezers, stoves, ovens, microwaves oven, washing machines, clothes dryers, televisions, computers, other small appliances.","Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rsu08","Additional_observations":null,"Contact":null,"Country":"Croatia","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Response quality, collection of exact information on annual energy consumption of all�energy forms","Methodology":"Surveying","Organisation":"<a href=\"http://www.dzs.hr/default_e.htm\">Croatian Bureau of Statistics</a>","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"Croatian Bureau of Statistics (Croatia) ","Documentation_type":"Project website","Available_documentation":"Available on <a href=\"https://www.dzs.hr/\" title=\"www.dzs.hr\">www.dzs.hr</a>","Collection_methods":"Computer-assisted personal interview","Frequency":"Ongoing","Key_model_inputs":null,"Mandatory":"0","Sample_sources":"Census data","Survey_respondents":"Households","Who_took_measurements":null,"Elements_collected":"Dwelling type, dwelling floor area, building age, household occupancy, energy-related�renovations, household energy consumption and related expenditures","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"Low response rate","Name":"Energy consumption of the household sector","Purpose":"To establish statistical survey on final energy consumption according to the Eurostat-defined�list of variables and modalities for calculating energy efficiency indicators","Recommendations":"Collection of metered energy consumption in households from distribution companies","Sample_design":"Stratified random sampling approach","Sample_Population_size":"5 000 / 1 535 000","Time_to_complete":"25 minutes","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"None","Population_description":null,"Response_rate":"Ongoing","End_uses_covered":"Space cooling, space heating, water heating, cooking, air conditioning, lighting, appliances","Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rsu09","Additional_observations":null,"Contact":null,"Country":"Croatia","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Incomplete survey","Methodology":"Surveying","Organisation":"<a href=\"http://www.eihp.hr/?lang=en\">Energy Institute Hrvoje Pozar</a>","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"Energy Institute Hrvoje Pozar (Croatia) ","Documentation_type":"Report","Available_documentation":"<a href=\"https://iea.blob.core.windows.net/assets/b9d0358f-5b15-4183-888e-11e36f992c10/Household_questionnaire_en.pdf\" title=\"Croatia Split &amp; Dalmatia Country residential survey questionnaire\">Survey questionnaire</a>\r\n<a href=\"https://iea.blob.core.windows.net/assets/b9d0358f-5b15-4183-888e-11e36f992c10/Croatia_split_Dalmatia_report.pdf\" title=\"Croatia residential surveying report\">Report (Croatian)</a>","Collection_methods":"Telephone interview\r\nIn-house visit","Frequency":"Every five years","Key_model_inputs":null,"Mandatory":"0","Sample_sources":"National census, lists from energy suppliers","Survey_respondents":"Households","Who_took_measurements":null,"Elements_collected":"Dwelling type, dwelling floor area, building age, household occupancy, income,�identification of main appliances, number of light fixtures, types of lighting, energy-related�renovations, renewable equipment, residential energy consumption, information fromenergy bills, information from energy suppliers, on-site energy audit, personal car utilisation�characteristics (consumption in litres per 100 kilometres [L/100 km], distance, type of�motor fuel)","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"Households are split into 14 energy zones. All counties were analysed. Survey identified�consumption of fuel wood. Developed software for the data storing and processing.","Name":"Survey on energy consumption in Split and Dalmatia County","Purpose":"To determine total residential energy consumption\r\nTo determine residential appliances energy consumption\r\nTo collect residential appliances diffusion\r\nTo collect household energy expenditure\r\nTo collect dwelling physical characteristics\r\nTo collect household occupant characteristics\r\nTo complement another data collection/estimation effort","Recommendations":"Using market research company, repeating the survey","Sample_design":"Stratified random sampling approach","Sample_Population_size":"2 000 / 133 496","Time_to_complete":"25 minutes","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"None","Population_description":null,"Response_rate":"75%","End_uses_covered":"Space cooling, space heating, water heating, lighting, refrigerators, freezers, dishwashers,�washing machines, clothes dryers, televisions, computers, other small appliances","Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rsu11","Additional_observations":null,"Contact":null,"Country":"Czech Republic","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Inconsistent responsesResponse quality","Methodology":"Surveying","Organisation":"<a href=\"https://www.mpo.cz/en/\">Czech Statistics Office, Ministry of Industry and Trade</a>","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"Czech Statistics Office, Ministry of Industry and Trade (Czech Republic) ","Documentation_type":"Methodology, Questionnaire, Results, Project website","Available_documentation":"<a href=\"https://iea.blob.core.windows.net/assets/3640baad-2aee-4211-b84b-c242db0d6941/vzorEnergoA_HH.pdf\" title=\"\">Questionnaire: Consumption of Energy in Households</a>\r\n<a href=\"https://iea.blob.core.windows.net/assets/3640baad-2aee-4211-b84b-c242db0d6941/vzorEnergoB_REN.pdf\" title=\"\">Questionnaire: Consumption of Energy in Households - Use of Renewables</a>\r\n<a href=\"https://iea.blob.core.windows.net/assets/3640baad-2aee-4211-b84b-c242db0d6941/vysvetlivkyd_EXPLANATORYNOTES.pdff\" title=\"\">Explanatory notes for questionnaire completion</a>\r\n<a href=\"https://www.czso.cz/csu/czso/1-energo_2004\">Project website: ENERGO 2004</a>","Collection_methods":"In-house visit","Frequency":"No regular survey cycle","Key_model_inputs":null,"Mandatory":"0","Sample_sources":"National census","Survey_respondents":"Households","Who_took_measurements":null,"Elements_collected":"Dwelling type, dwelling floor area, building age, identification of main appliances, energy-related�renovations, renewable equipment, residential energy consumption","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"Cooperation among different government agencies. ENERGO 2004 survey was prepared and�processed by the Czech Statistics Office. The Ministry of Industry and Trade participated in�the recalculation of the results, mainly energy consumption of households (solid fuels). They�used primary data from this survey for the IEA Energy Efficiency Indicators template.","Name":"ENERGO 2004","Purpose":"To determine total residential energy consumption\r\nTo determine total residential energy consumption\r\nTo collect residential appliances diffusion\r\nTo collect household energy expenditure\r\nTo collect dwelling physical characteristics","Recommendations":"A better manual for interviewing staff (e.g. identifying proper biomass volume through�visual examples)","Sample_design":"Stratified random sampling approach","Sample_Population_size":"40 000 / 4 000 000","Time_to_complete":"60 minutes","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"None","Population_description":null,"Response_rate":"100%","End_uses_covered":"Space heating, water heating, appliances","Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rsu12","Additional_observations":null,"Contact":"<a href=\"mailto:tfl@big2great.dk\">tfl@big2great.dk</a>","Country":"Denmark","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Inconsistent responses\r\nResponse quality","Methodology":"Surveying","Organisation":"<a href=\"http://www.itenergy.dk/Start_en.aspx\">IT Energy</a>","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"IT Energy (Denmark) ","Documentation_type":"Questionnaire","Available_documentation":"<a href=\"https://iea.blob.core.windows.net/assets/19510813-f564-4f1b-b916-3a8f0424c2c0/Denmark_residential_survey_questionnaire.pdf\" title=\"Denmark residential survey questionnaire\">Denmark residential survey questionnaire</a>\r\n","Collection_methods":"Paper form sent by mail\r\nInternet based","Frequency":"Every two years","Key_model_inputs":null,"Mandatory":"0","Sample_sources":"National census, lists of telephone numbers","Survey_respondents":"Households","Who_took_measurements":null,"Elements_collected":"Dwelling type, dwelling floor area, building age, household occupancy, income, identification of main appliances, number of light fixtures, types of lighting, energy-related renovations, renewable equipment, residential energy consumption","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"Design: all questions are reviewed every second year to ensure that they are still relevant and the wording is up to date. New appliances are considered, as well as other relevant new consumption questions. The questionnaire is then put out to tender. Together with the winning market bureau, the questionnaire is reviewed again, now mostly with regard to the web system they run.\r\nIncrease of response rate: a big effort was made to let the respondents know that their responses are important scientific contributions to the national statistics. Use of the Energy Authorities logo: this encourages more people to answer.\r\nData quality: limit answer ranges further, so only valid responses are presented (in web questionnaires), e.g. only the valid wattages for compact fluorescent light bulbs (CFLs) are shown when CFLs are in question etc.\r\nRepresentativeness: the resulting pool of answers is scaled up to national level. This is done using a weight for each response. The weights are calculated on the basis of characteristics of the households (dwelling type, dwelling size, family size) compared with the national level.\r\nFurther processing: to catch errors the results are all compared with same results from last cycle.","Name":"The possession and use of electrical appliances at homes","Purpose":"To determine total residential energy consumption\r\nTo determine residential appliances energy consumption\r\nTo collect residential appliances diffusion\r\nTo collect household energy expenditure\r\nTo collect dwelling physical characteristics\r\nTo collect household occupant characteristics\r\nTo collect data about the use patterns for major appliances\r\nTo collect data about disposal of appliances","Recommendations":"Further limit the response possibilities to only valid answers. Visit some of the household respondents, though this is expensive.","Sample_design":"Stratified random sampling approach","Sample_Population_size":"5 300 / 2 450 000","Time_to_complete":"90 minutes","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"Cash or other monetary incentives to responders, non-cash incentives","Population_description":null,"Response_rate":"40%","End_uses_covered":"Space cooling, space heating, water heating, lighting, refrigerators, freezers, dishwashers, washing machines, clothes dryers, televisions, computers, other small appliances","Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rsu30","Additional_observations":null,"Contact":null,"Country":"Egypt","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"People may not cooperate or give wrong data","Methodology":"Surveying","Organisation":"<a href=\"https://www.capmas.gov.eg/HomePage.aspx\">Central Agency for Public Mobilization and Statistics (CAPMAS)</a>","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"Central Agency for Public Mobilization and Statistics (CAPMAS) (Egypt) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":"Every 6 months","Key_model_inputs":null,"Mandatory":"0","Sample_sources":"The Egyptian residents who answer the official surveyor�s questions and fill their questionnaires","Survey_respondents":"Ordinary people","Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":null,"Purpose":null,"Recommendations":null,"Sample_design":null,"Sample_Population_size":"Surveyors visit every home","Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"None","Population_description":null,"Response_rate":"100%","End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rsu37","Additional_observations":null,"Contact":null,"Country":"France","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Response rate;\r\nAd hoc model to assess the improvement of energy efficiency due to the renovation","Methodology":"Surveying","Organisation":"Ministry of Ecology, Sustainable Development and Energy, in partnership with ADEME (French Environment &amp; Energy Management Agency)","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"Ministry of Ecology, Sustainable Development and Energy, in partnership with ADEME (French Environment &amp; Energy Management Agency) (France) ","Documentation_type":"Questionnaire, Report","Available_documentation":"<a href=\"https://iea.blob.core.windows.net/assets/8e99bd67-5b18-434d-b436-b0053dd586f9/Questionnaire_papier_ENDT07_08.pdf\" title=\"\">France residential survey questionnaire (R/Su/37) et Fiche d'enqu?te pour examen d'opportunit?</a>\r\n<a href=\"https://iea.blob.core.windows.net/assets/8e99bd67-5b18-434d-b436-b0053dd586f9/EnqueteTREMIPresentation.pdf\" title=\"\">Enquete TREMI - Presentation</a>\r\n<a href=\"https://iea.blob.core.windows.net/assets/8e99bd67-5b18-434d-b436-b0053dd586f9/EnqueteTREMI2017.pdf\" title=\"\">Enquete TREMI 2017 - Report</a>","Collection_methods":"Internet, self-administered questionnaire","Frequency":"Probably every 3 years","Key_model_inputs":null,"Mandatory":"1","Sample_sources":"Administrative database collected mainly from income and housing tax returns","Survey_respondents":"Households living in Individual dwellings as their principal residence only.","Who_took_measurements":null,"Elements_collected":"Characteristics of the dwelling �and of the household;\r\nDescription of energy related renovations during the last 3 years, including technologies or techniques applied (types of newly installed thermal insulation, heat system, ventilation�);\r\nCost and funding of the renovations, financial aids applied;\r\nHiring of a professional or not;\r\nMotivations or obstacles to engage renovation works;\r\nLevel of satisfaction","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"Internet survey allows a large but cost efficient survey;\r\nWide consultation with the stakeholders (administrations in charge of energy and housing, representatives of the energy and building industries, �)","Name":"TREMI (energy related renovation of individual houses)","Purpose":"To assess the impact of renovation works on energy efficiency;\r\nTo improve knowledge on motivations or obstacles to engage energy efficiency renovations;\r\nTo measure awareness of existing aid schemes and to assess their effectiveness.","Recommendations":"Large sample to reach a significant number of households that have carried out energy related renovations.","Sample_design":"Stratified random sampling approach","Sample_Population_size":"Target of 30 000 respondents / 16 450 000 individual dwellings","Time_to_complete":"5-15 minutes","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":"Households living in Individual dwellings as their principal residence only.","Response_rate":"40% (target for 2020�s survey)","End_uses_covered":"space heating, water heating, space cooling","Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rsu43","Additional_observations":null,"Contact":"<a href=\"mailto:mgogoladze@geostat.ge\">mgogoladze@geostat.ge</a>","Country":"Georgia","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"The quality of data collected for transport statistics was not of sufficient quality, thus the detailed data was not published","Methodology":"Surveying","Organisation":"National Statistics Office of Georgia","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"National Statistics Office of Georgia","Documentation_type":"Questionnaire","Available_documentation":"<a href=\"https://www.geostat.ge/en/single-categories/125/energy-consumption-in-households\" title=\"Energy Consumption in Households\">Energy Consumption in Households</a>\n<a href=\"https://www.geostat.ge/en/modules/categories/787/energy-consumption-in-households\" title=\"Energy Consumption in Households 2022\">Energy Consumption in Households 2022</a>\n<a href=\"https://www.geostat.ge/media/23206/Questionaire-Energy-Consumption-Households.pdf\" title=\"Energy Consumption in Households Questionnaire\">Energy Consumption in Households Questionnaire</a>","Collection_methods":"CAPI method, Software (Survey Solutions)","Frequency":"Every five years","Key_model_inputs":"Dwelling type, dwelling floor area, building age, household occupancy, identification of main appliances, number of light fixtures, types of lighting, energy-related renovations, renewable equipment, residential energy consumption","Mandatory":"0","Sample_sources":"The 2014 Population Census database has been used as a sampling frame of survey, which included the list of households in urban and rural area","Survey_respondents":"Households","Who_took_measurements":"Interviewers and managers participating process of survey","Elements_collected":"Dwelling type, dwelling floor area, building age, household occupancy, identification of main appliances, number of light fixtures, types of lighting, energy-related renovations, renewable equipment, residential energy consumption","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"Survey of Household Energy Use (SHEU)","Purpose":"To collect dwelling physical, household occupant characteristics and data on heating systems used by dwellings (air conditioning system, water heating systems, methods of cooking etc.). To collect data of energy commodities purchased and energy consumed for household needs. To collect data on the diffusion and distribution of residential electronic appliances based on household purchase years","Recommendations":null,"Sample_design":"Stratified random sampling approach","Sample_Population_size":"Sampling size comprised 3500 households. Total population: 1,109,130","Time_to_complete":"45 minutes","Key_model_outputs":"Crystal Reports regarding energy consumption by purpose ","Model_type":"Assistance by EIHP - Modelling final energy consumption in households using survey results (Questionnaire Energy consumption in households)","Results_validated":null,"Incentive":"None","Population_description":"Sampling size comprised 3500 households. The survey has covered all regions of the country, except uncontrolled territory","Response_rate":"99.70%","End_uses_covered":"Space cooling, space heating, water heating, lighting, cooking, appliances, other uses","Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rsu13","Additional_observations":null,"Contact":null,"Country":"Germany","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Breakdown of consumption figures into consumption purposes\r\nRenters are often not well informed about the building's characteristics\r\nTreatment of storable fuels\r\nBilling period does not correspond to surveying year coverage","Methodology":"Surveying","Organisation":"<a href=\"http://en.rwi-essen.de/\">Rheinisch-Westf�lisches Institut f�r Wirtschaftsforschung</a>","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"Rheinisch-Westf�lisches Institut f�r Wirtschaftsforschung (Germany) ","Documentation_type":"Questionnaire, Project website, Report","Available_documentation":"<a href=\"http://en.rwi-essen.de/media/content/pages/publikationen/rwi-projektberichte/PB_Energieverbrauch-priv-HH-2009-2010_K_E.pdf\" title=\"Report: The German Residential Energy Consumption Survey\">Report: The German Residential Energy Consumption Survey</a>\r\n<a href=\"https://en.rwi-essen.de/forschung-und-beratung/umwelt-und-ressourcen/projekte/39/\" title=\"Project homepage\">Project homepage</a>","Collection_methods":"Internet based\r\nComputer-assisted telephone interview\r\nSampled households are equipped with an electronic set-top box connected to the television via which they can provide responses to the survey","Frequency":"Every three years","Key_model_inputs":null,"Mandatory":"0","Sample_sources":null,"Survey_respondents":"Households","Who_took_measurements":null,"Elements_collected":"Dwelling type, dwelling floor area, building age, household occupancy, income, identification of main appliances, energy-related renovations, renewable equipment, residential energy consumption, information from energy bills","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"Heating bills are often complex in Germany. The project thus developed a tool where the households can select their billing operator, and it subsequently displays sample bills with the figures of interest marked. People do not need to understand their bills but just report the relevant figures.","Name":"The German residential energy consumption survey (Erhebung des Energieverbrauchs der privaten Haushalte)","Purpose":"To determine total residential energy consumption\r\nTo determine residential appliances energy consumption\r\nTo collect residential appliances diffusion\r\nTo collect household energy expenditure\r\nTo collect dwelling physical characteristics\r\nTo collect household occupant characteristics","Recommendations":"Sample of in-home visits","Sample_design":"Stratified random sampling approach","Sample_Population_size":"6 715 / 40 076 000","Time_to_complete":"30 minutes","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"None","Population_description":null,"Response_rate":"70%","End_uses_covered":"Space heating, water heating, refrigerators, freezers, dishwashers, washing machines, clothes dryers, televisions, computers, other","Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rsu14","Additional_observations":null,"Contact":null,"Country":"Hong Kong, China","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Quality of the interviewing staff\r\nRecruiting, training and retaining project staff","Methodology":"Surveying","Organisation":"<a href=\"http://www.emsd.gov.hk/emsd/\">Electrical and Mechanical Services Department</a>","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"Electrical and Mechanical Services Department (Hong Kong, China) ","Documentation_type":"Report","Available_documentation":"Report - <a href=\"https://iea.blob.core.windows.net/assets/ad5b53d9-a4a3-4f02-8b62-44eff511af72/HKEEUD2018.pdf\" title=\"\">Hong Kong Energy End-use Data</a>\n<a href=\"https://www.emsd.gov.hk/filemanager/en/content_762/HKEEUD2018.pdf\" title=\"Energy End-Use Data\"></a>","Collection_methods":"In-house visit","Frequency":"Every three years","Key_model_inputs":null,"Mandatory":"0","Sample_sources":"National census","Survey_respondents":"Households","Who_took_measurements":null,"Elements_collected":"Dwelling type, dwelling floor area, building age, household occupancy, income, number of light fixtures, types of lighting, residential energy consumption, information from energy bills, operating behaviour of appliances, rating of appliances","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"A novel approach was devised to boost the response rate. Instead of one single sample being selected, each �single� sample is supplemented with two neighbouring samples (e.g. units one floor above and below the selected sample). In the event the selected sample fails or rejects, another sample with similar energy consumption characteristics can be used as supplement. The response rate can be close to 100% without seriously distorting the characteristics of the samples.","Name":"Energy Consumption Survey on Residential Sector","Purpose":"To determine total residential energy consumption\r\nTo determine residential appliances energy consumption\r\nTo collect residential appliances diffusion\r\nTo collect household energy expenditure\r\nTo collect dwelling physical characteristics\r\nTo collect household occupant characteristics","Recommendations":"Recruit experienced interviewers, organise training, conduct pilot survey, refine questionnaire, establish hotline with supervisor to provide assistance","Sample_design":"Stratified random sampling approach","Sample_Population_size":"2 100 / 2 000 000","Time_to_complete":"45 minutes","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"None","Population_description":null,"Response_rate":"Almost 100%","End_uses_covered":"Space cooling, water heating, lighting, refrigerators, washing machines, televisions, computers, other small appliances","Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rsu42","Additional_observations":null,"Contact":"Gerencs�r �kos, E-mail: <a href=\"mailto:gerencsera@mekh.hu\">gerencsera@mekh.hu</a>","Country":"Hungary","Data_collected":null,"Data_collection_purpose":"Determine the end-use breakdown of residential energy consumption","Main_challenges":"Questionnaire design, validation of data, cost of survey.","Methodology":"Surveying","Organisation":"<a href=\"https://www.mekh.hu/home\">Hungarian Energy and Public Utility Regulatory Authority</a> & <a href=\"https://www.ksh.hu/?lang=en\">Hungarian Central Statistical Office</a>","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"Hungarian Energy and Public Utility Regulatory Authority and Hungarian Central Statistical Office (Hungary)","Documentation_type":"Questionnaire, Methodology, Manual","Available_documentation":"Methodology of the HBS: <a href=\"https://www.ksh.hu/apps/meta.objektum?p_lang=EN&p_menu_id=110&p_ot_id=100&p_obj_id=AEAA\">https://www.ksh.hu/apps/meta.objektum?p_lang=EN&p_menu_id=110&p_ot_id=100&p_obj_id=AEAA</a>\nQuestionnaires (in Hungarian): <a href=\"https://www.ksh.hu/docs/hun/info/02osap/onk/2154/k202154.pdf\">https://www.ksh.hu/docs/hun/info/02osap/onk/2154/k202154.pdf</a>\nManual for interviewers � energy module (in Hungarian): <a href=\"https://www.ksh.hu/docs/hun/info/02osap/onk/2154/d202154_2.pdf\">https://www.ksh.hu/docs/hun/info/02osap/onk/2154/d202154_2.pdf</a>","Collection_methods":"Computer Assisted Personal Interviewing (CAPI), Computer Assisted Web Interviewing (CAWI)","Frequency":"No regular survey cycle","Key_model_inputs":null,"Mandatory":"0","Sample_sources":"Dwelling units from census","Survey_respondents":"Households living in private dwellings","Who_took_measurements":null,"Elements_collected":"Households� budget, energy use and consumption, dwelling characteristics","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"Household survey helps to determine type of energy use that is not available from administrative sources.","Name":"Households Budget and Living Condition Survey � Energy Module","Purpose":null,"Recommendations":"It is recommended to use simple questions that households are able to reply to with good quality (e.g. using units that are common to households). Focus on data that are not available from administrative sources (e.g. solid biomass consumption).","Sample_design":"Multi stage sampling","Sample_Population_size":"5 504 / 4 120 011","Time_to_complete":"37 minutes (average)","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"Small present","Population_description":null,"Response_rate":"65%","End_uses_covered":"Space heating, space cooling, water heating, cooking","Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rsu15","Additional_observations":null,"Contact":null,"Country":"Indonesia","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Incomplete survey\r\nBias of the interviewer\r\nQuality of the interviewing staff\r\nRecruiting, training and retaining project staff\r\nWillingness of household participation","Methodology":"Surveying","Organisation":"<a href=\"https://www.esdm.go.id/en/\">Data and Information Centre, Ministry of Energy and Mineral Resources</a>","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"Data and Information Centre, Ministry of Energy and Mineral Resources (Indonesia) ","Documentation_type":"Questionnaire","Available_documentation":"<a href=\"https://iea.blob.core.windows.net/assets/088622a6-5352-4b96-9e1c-cbfd279a7f12/Indonesia_residential_survey_questionnaire.pdf\" title=\"Indonesia residential survey questionnaire\">Indonesia residential survey questionnaire</a>","Collection_methods":"In-house visit","Frequency":"No regular survey cycle","Key_model_inputs":null,"Mandatory":"0","Sample_sources":"National census, list of households","Survey_respondents":"Households","Who_took_measurements":null,"Elements_collected":"Household occupancy, income, identification of main appliances, number of light fixtures, residential energy consumption, information from energy bills","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"One of the key challenges is to find households willing to participate in the survey. To overcome this challenge, the surveying team needs to approach the chairman of the community to request permission and to obtain support during the household surveying exercise. Generally, the community will nominate a representative to accompany the surveying team.","Name":"Residential survey for poor households","Purpose":"To determine total residential energy consumption\r\nTo determine residential appliances energy consumption\r\nTo collect household energy expenditure\r\nTo collect household occupant characteristics","Recommendations":"The questionnaire should be designed in a simple format. The hired interviewers should be familiar with energy concepts.","Sample_design":"Stratified random sampling approach","Sample_Population_size":"Not available","Time_to_complete":"30 minutes","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"Non-cash incentives","Population_description":null,"Response_rate":null,"End_uses_covered":"Lighting, refrigerators, washing machines, televisions, cooking, other","Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rsu16","Additional_observations":null,"Contact":null,"Country":"Italy","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Response quality","Methodology":"Surveying","Organisation":"<a href=\"http://www.rse-web.it/home.page\">Ricerca sul Sistema Energetico</a>","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"Ricerca sul Sistema Energetico (Italy) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":"Specific interview panel connected to data collection centre via global system for mobile communications","Frequency":"No regular survey cycle","Key_model_inputs":null,"Mandatory":"0","Sample_sources":"National census","Survey_respondents":"Households","Who_took_measurements":null,"Elements_collected":"Dwelling type, dwelling floor area, household occupancy, identification of main appliances, number of light fixtures, types of lighting, residential energy consumption","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"At the time of the preparation of this Manual, the survey was still under way and it was too early to draw conclusions. However, the technology adopted to contact the families can be considered very innovative.","Name":null,"Purpose":"To collect residential appliances diffusion\r\nTo collect dwelling physical characteristics\r\nTo collect household occupant characteristics\r\nTo collect appliances usage pattern\r\nTo complement another data collection/estimation, standard annual consumption per appliance","Recommendations":"Educate the panellists by regularly repeating the surveys","Sample_design":"Stratified random sampling approach","Sample_Population_size":"1 500 / 22 000 000","Time_to_complete":"5 minutes","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"Non-cash incentives","Population_description":null,"Response_rate":"100%","End_uses_covered":"Space cooling, space heating, water heating, lighting, refrigerators, freezers, dishwashers, washing machines, clothes dryers, televisions, computers, other small appliances: VCR/DVDs, printers, hi-fis, set-top boxes, modems, game consoles, irons, vacuum cleaners, clocks, alarm sets, cordless phones","Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rsu38","Additional_observations":null,"Contact":null,"Country":"Kazakhstan","Data_collected":"Fuel and energy consumption in the household","Data_collection_purpose":null,"Main_challenges":null,"Methodology":"Surveying","Organisation":"Statistics Committee - Department of Services and Energy Statistics","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"Statistics Committee - Department of Services and Energy Statistics (Kazakhstan) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":"Paper form sent by mail.","Frequency":"Every 5 years","Key_model_inputs":null,"Mandatory":"0","Sample_sources":"The survey is subject to all households participating in a sample survey of households on fuel and energy consumption. The respondent is the head or another member of the household consuming fuel and energy in the household.","Survey_respondents":"Households, property managers/landlords","Who_took_measurements":null,"Elements_collected":"Dwelling type, dwelling floor area, building age, household occupancy, identification of�main appliances, number of light fixtures, types of lighting, energy-related renovations,�renewable equipment, residential energy consumption, information from energy bills, information from energy suppliers.","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":null,"Purpose":"The purpose of the survey is to collect data on fuel and energy consumption in households, end-use categories (heating, cooling, lighting, cooking, water heating, use of electrical appliances),and energy sources (fuel, electricity, renewable energy sources) that use home farms in the Republic of Kazakhstan.","Recommendations":null,"Sample_design":"Stratified random sampling approach","Sample_Population_size":"This sample survey is carried out once every five years. The survey is subject to 21,000 households.","Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"None","Population_description":null,"Response_rate":null,"End_uses_covered":"Space cooling, space heating, water heating, lighting, refrigerators, freezers, dishwashers,�washing machines, clothes dryers, televisions, computers, other small appliances: personal�computers, computer printers, computer monitors.","Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rsu17","Additional_observations":null,"Contact":null,"Country":"Korea","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Response quality","Methodology":"Surveying","Organisation":"<a href=\"https://dco.energy.or.kr/renew_eng/main/main.aspx\">Korea Energy Agency</a>","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"Korea Energy Management Corporation (Korea) ","Documentation_type":"Questionnaire","Available_documentation":"<a href=\"https://iea.blob.core.windows.net/assets/e5b7d6b2-2f2c-4237-8925-43323b446455/Korea_residential_survey_questionnaire.pdf\" title=\"Korea residential survey questionnaire\">Korea residential survey questionnaire</a>","Collection_methods":"In-house visit","Frequency":"Every three years","Key_model_inputs":null,"Mandatory":"0","Sample_sources":"National census","Survey_respondents":"Households","Who_took_measurements":null,"Elements_collected":"Dwelling type, dwelling floor area, household occupancy, income, identification of main appliances, number of light fixtures, types of lighting, energy-related renovations, renewable equipment, residential energy consumption, information from energy bills","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"National Energy and GHG Emissions Survey","Purpose":"To determine total residential energy consumption\r\nTo determine residential appliances energy consumption\r\nTo collect household occupant characteristics","Recommendations":null,"Sample_design":"Stratified random sampling approach","Sample_Population_size":"67 567 / 15 988 274","Time_to_complete":"20 minutes","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"Non-cash incentives","Population_description":null,"Response_rate":"90%","End_uses_covered":"Space heating, water heating, lighting, appliances","Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rsu28","Additional_observations":null,"Contact":"Publication - Energy consumption in households (2014, also available on the <a href=\"http://www.stat.gov.mk/Publikacii/6.4.15.03.pdf\" title=\"SSO website\">SSO�website</a>):\r\n<a href=\"/media/statistics/eemanual/Macedonia_Report_Energy_consumption_in_households_2014.pdf\" title=\"Report - Energy Consumption in Households (2014) - Republic of Macedonia (R/Su/27)\">Report - Energy Consumption in Households (2014) - Republic of Macedonia</a>\r\nQuestionnaire (2014,�in Macedonian language):\r\n<a href=\"/media/statistics/eemanual/Macedonia_Questionnaire_Survey_energy_consump_households_MK.pdf\" title=\"Questionnaire - Energy Consumption in Households (2014) - Republic of Macedonia (R/Su/27)\">Questionnaire - Energy Consumption in Households (2014) - Republic of Macedonia </a>�\r\nQuality report (2014):\r\n<a href=\"/media/statistics/eemanual/Macedonia_Quality_report_Survey_energy_households_MK.doc\" title=\"Quality report - Energy Consumption in Households (2014) - Republic of Macedonia (R/Su/27)\">Quality report - Energy Consumption in Households (2014) - Republic of Macedonia</a>","Country":"Macedonia","Data_collected":"Sample Survey in accordance with Eurostat Manuel for statistic on energy consumption on households.","Data_collection_purpose":null,"Main_challenges":"To detect some new method for allocation of final energy consumption in households by type of usage (heating, cooling, cooking, etc.)","Methodology":"Surveying","Organisation":"<a href=\"https://www.stat.gov.mk/Default_en.aspx\">State Statistical Office (SSO)</a>","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"State Statistical Office (SSO) (Macedonia) ","Documentation_type":"Questionnaire, Report","Available_documentation":"<a href=\"https://iea.blob.core.windows.net/assets/88841331-3908-41b0-a4f2-d5e03498e308/Macedonia_Report_Energy_consumption_in_households_2014.pdf\">Report</a>\n<a href=\"https://iea.blob.core.windows.net/assets/88841331-3908-41b0-a4f2-d5e03498e308/Macedonia_Questionnaire_Survey_energy_consump_households_MK.pdf\">Questionnaire</a>\n<a href=\"https://iea.blob.core.windows.net/assets/88841331-3908-41b0-a4f2-d5e03498e308/Macedonia_Quality_report_Survey_energy_households_MK.doc\">Quality report</a>","Collection_methods":"Paper questionnaire with interviews","Frequency":"5 years","Key_model_inputs":null,"Mandatory":"0","Sample_sources":"Households ","Survey_respondents":"Households","Who_took_measurements":null,"Elements_collected":"1. Data on the number of households and persons and family members in the households;2. Data on the dwelling (the dwelling owned by the household): type of residential building (detached single-family/collective residential building, construction year;3. General dwelling characteristics: dwelling floor, dwelling area, number of rooms;4. Heat insulation:� - Types of heat insulation, year of installation;� - Type of windows according to the material, number of frames and glazing, year of installation;5. Basic characteristics of the heating area and heating energy used:� - Estimates on the heating area in the dwelling;� - Average temperature in the heated rooms;� - Total energy consumed in the household by energy commodity: heated area by energy source, average number of heating months/heating hours;6. Types of heating used in the dwelling: basic or additional;7. Types of electric appliances used for heating: total installed power, number of appliances, average heating period during the year, average time of heating during the day;8. Types of cooling appliances: number of appliances, their age, average time of cooling during the day;9. Types of water heating devices in the household: total installed power, number of appliances, their age, average weekly heating (summer vs. winter);10. Solar collectors installed: installed area, age;11. Types of cooking appliances: number of appliances, their age, energy efficiency class, average time of cooking;12. Types of refrigerators: height of the appliances in ?m, their age, energy efficiency class, average time of use;13. Types of washing and drying machines: age of the appliance, energy efficiency class, and average time of use;14. Other devices in the household: number, age of the device (vacuum cleaner, air freshen, TV, desktop computer, laptop, printer and other electronic devices).","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"1. The applied survey method contributed to high response rate;2. Gained experiences from conducted Pilot project which served to overcome flaws into draft survey questionnaire;3. In adequate manner chosen sample in accordance with expert's recommendation;4. Good methodological instruments accompanied with manual containing good visual content;5. Well prepared interviewers;6. Good collaboration with households.","Name":"Survey of energy consumption in households (SECH)","Purpose":"To determine average area of dwelling and average heated area by household;To determine total energy consumption per household and per capita by energy commodities;To determine total energy consumption in households;To determine fuel wood consumption in households that are heated only by wood, by regions;To determine primary energy commodities consumed for heating in households;To determine share of the number of households in the total number of households by primary energy commodity used for heating;To determine types of heating and heating devices in household;To determine share of electrical heating appliances;To determine characteristics of cooling devices;To determine average cooking time during the day;To determine usage of solar energy in households;To determine share of household appliances by energy efficiency classes.","Recommendations":"No specific recommendations.�","Sample_design":"For the purposes of the sample, census areas were stratified on two levels with a total of 16 strata according to the NUTS 3 classification of the eight regions and the type of settlement (urban and rural) on the basis of the administrative categorization. The sample is two-phased and stratified. The primary sampling units are census areas, whereas addresses of households represent secondary sampling units. The sample includes 350 census areas. The allocation of the sample in the first stage was performed in proportion to the number of households based on data from the 2002 Census in each strata, and in the second stage it was performed randomly with equal probability in each selected census area where 10 households were selected.\r\n\t","Sample_Population_size":"In the sample are included 3 500 households (the total population is 559 187 households).","Time_to_complete":"60 minutes","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"None","Population_description":null,"Response_rate":"Response rate: 89.9%, non-response rate: 6.5%, the refusal rate: 3.6%.","End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rsu40","Additional_observations":null,"Contact":"Velvet Rosemberg Fuentes, E-mail: <a href=\"mailto:vrosemberg@energia.gob.mx\">vrosemberg@energia.gob.mx</a>","Country":"Mexico","Data_collected":"End use of energy in the residential sector, stock of appliances, consumption patterns","Data_collection_purpose":null,"Main_challenges":"Time and budget","Methodology":"Surveying","Organisation":"<a href=\"http://en.www.inegi.org.mx/\">Instituto Nacional de Estad�stica y Geograf�a (INEGI)</a>\n<a href=\"https://www.gob.mx/sener\">Secretar�a de Energ�a (SENER)</a>\n<a href=\"https://www.gob.mx/conuee\">Comisi�n Nacional para el Uso Eficiente de la Energ�a (CONUEE)</a>","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"Secretar�a de Energ�a (SENER) and Comisi�n Nacional para el Uso Eficiente de la Energ�a (CONUEE), in partnership with Instituto Nacional de Estad�stica y Geograf�a (INEGI) (Mexico)","Documentation_type":"Questionnaire, Report, Methodology","Available_documentation":"<a href=\"https://www.inegi.org.mx/programas/encevi/2018/#Documentacion\">https://www.inegi.org.mx/programas/encevi/2018/#Documentacion</a>","Collection_methods":"Questionnaire, interview","Frequency":"Only conducted once","Key_model_inputs":null,"Mandatory":"0","Sample_sources":"Marco Nacional de Viviendas 2012, constructed from cartographic and demographic information from the 2010 Census","Survey_respondents":"Private occupied dwellings. The houses are chosen through meticulous process statistic that guarantees that the results obtained from only a part of the population (sample), can be generalized to the whole.","Who_took_measurements":null,"Elements_collected":"Statistical","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"National Survey on Energy Consumption in Private Dwellings (ENCEVI)","Purpose":"Generate statistical information that allows knowing the consumption patterns of the different energy sources used for consumption in homes and, jointly, knowing about the habits and practices in energy management.","Recommendations":null,"Sample_design":"The survey is aimed at private dwellings inhabited within the national territory. The sample design is characterized by being probabilistic; consequently, the results obtained from the survey are generalized to the entire population of the study domain; at the same time, it is in two stages, stratified and by conglomerates, where the last selection unit is the dwelling, and the observation unit is the household.","Sample_Population_size":"32 047 dwellings\nFrom n=(Z^2*q*Deff)/(r^2*p*(1-Tnr)),\nwhere n = sample size; Z = standard normal distribution for the confidence level; p = proportion of interest and q = (1-p); Deff = design effect; r = maximum relative error; Tnr = acceptable no answer rate\nUsing a confidence level of 90%; a maximum relative error of 15%; a design effect of 4.6 based on previous experiences; a no answer rate of 15% for a minimum proportion of 2%, the sample size was 31 892 dwellings, which was adjusted at 32 047 dwellings.","Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"None","Population_description":null,"Response_rate":"90.30%","End_uses_covered":"Electricity, heating, cooling, cooking; water heating, lighting, appliances, other equipment","Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rsu41","Additional_observations":null,"Contact":"Galina Ermurachi, E-mail: <a href=\"mailto:galina.ermurachi@statistica.gov.md\">galina.ermurachi@statistica.gov.md</a>","Country":"Moldova","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Hight financial expenditures. Refusal of households to participate to the study","Methodology":"Surveying","Organisation":"National Bureau of Statistics of the Republic of Moldova","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"National Bureau of Statistics (Republic of Moldova)","Documentation_type":null,"Available_documentation":"<a href=\"https://statistica.gov.md/en/energy-consumption-in-households-9668_3753.html\">https://statistica.gov.md/en/energy-consumption-in-households-9668_3753.html</a>","Collection_methods":"Interview �face to face�","Frequency":"Every 5 years","Key_model_inputs":null,"Mandatory":"0","Sample_sources":"The sampling frame of the survey was extracted from the Multifunctional sample for survey in the Social Field 2 (EMDOS 2), selected in 2018, which is used for all surveys in the social field carried out by the NBS.","Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":"Characteristics of the dwellings; Identification of main appliances from the heating, hot water, cooking, types of lighting; Energy consumption in households; Economic activities in the household.","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"Using the network of interviewers which is used for all surveys in the social field.","Name":"Survey of Energy consumption in households","Purpose":"To collect characteristics of dwellings; To collect data on distribution of household appliances in residential sector; To collect data on energy expenditure in residential sector; To determine energy consumption in residential sector; To determine structure of energy consumption for heating, hot water supply, cooking, lighting and household appliances","Recommendations":"Identify the indicators needed to estimate Energy Efficiency Indicators at the stage of developing the questionnaire.","Sample_design":"Multifunctional sample for survey in the social field - is a representative sample with a sampling plan in 2-stages, stratified by three criteria:\n- the geographical area: North, Centre, South and Chisinau municipality;\n- the residence: urban/rural;\n- size of rural localities, according to the number of population, large and small communes/villages.","Sample_Population_size":"3 524 / 1 035 085","Time_to_complete":"30 minutes","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"None","Population_description":"The survey covers all persons from house�holds selected from the territory of the country. The survey does not include persons living in institutions such as prisons, resorts, old people�s homes, orphanag�es, hostels etc., except for workers� hostels that are in�cluded in the survey. At the same time, households from the left side of the Nistru River and municipality Bender have not been included.","Response_rate":"80,6%","End_uses_covered":"Energy consumption in households (including biomass consumption). Structure of heating, hot water supply, cooking, lighting and appliances","Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rsu35","Additional_observations":null,"Contact":null,"Country":"Moldova","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Incomplete surveyHigh financial expenditures","Methodology":"Surveying","Organisation":"<a href=\"https://statistica.gov.md/\">National Bureau of Statistics</a>","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"National Bureau of Statistics (Republic of Moldova) ","Documentation_type":"Project website","Available_documentation":"<a href=\"https://statistica.gov.md/pageview.php?l=ro&idc=350&id=5413\">https://statistica.gov.md/pageview.php?l=ro&idc=350&id=5413</a>","Collection_methods":"Interview","Frequency":"Once in 5 years","Key_model_inputs":null,"Mandatory":"0","Sample_sources":"The sampling frame of the survey on energy consumption in households consist of EMDOS (Multifunctional sample for survey in the social field), which is used for all surveys in the social field carried out by the NBS.","Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":"Characteristics of the dwellings Identification of main appliances from the heating, hot water, cooking, types of lighting.Energy consumption in householdsEconomic activities in the household","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"Using the network of interviewers which is used for all surveys in the social field","Name":"Survey of Energy Consumption in Households","Purpose":"� To collect characteristics of dwellings� To collect data on distribution of household appliances in residential sector� To collect data on energy expenditure in residential sector� To determine energy consumption in residential sector� To determine structure of energy consumption for heating, hot water supply, cooking, lighting and household appliances","Recommendations":"Identify the indicators needed to estimate Energy Efficiency Indicators at the stage of developing the questionnaire","Sample_design":"Multifunctional sample for survey in the social field - is a representative sample with a sampling plan in 2-stages, stratified by three criteria\r\n-\tthe geographical area: North, Centre, South and Chisinau municipality; \r\n-\tthe residence: urban/rural\r\n-\tsize of rural localities, according to the number of population, large and small communes/villages","Sample_Population_size":"3 500/ 1 116 000","Time_to_complete":"Interview � 60 minutes","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"None","Population_description":"The survey covers all persons from individual households randomly selected from the territory of the country. The survey does not include persons living in institutions such as prisons, resorts, old people�s homes, orphanages, hostels etc., except for workers� hostels that are included in the survey.","Response_rate":"83,9%","End_uses_covered":"Energy consumption in households (including biomass consumption)Structure of heating, hot water supply, cooking, lighting and appliances","Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rsu31","Additional_observations":null,"Contact":null,"Country":"Morocco","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Update of the sampling base\r\nResponse quality","Methodology":"Surveying","Organisation":"<a href=\"https://www.mem.gov.ma/en/pages/index.aspx\">Ministry of Energy, Mines and Sustainable Development. Department of Energy</a>","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"Ministry of Energy, Mines and Sustainable Development. Department of Energy (Morocco) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":"Questionnaire collected on site","Frequency":null,"Key_model_inputs":null,"Mandatory":"0","Sample_sources":"The respondents are the households in Morocco. The survey is face to face.","Survey_respondents":"Households","Who_took_measurements":null,"Elements_collected":"Dwelling type, dwelling floor area, building age, household occupancy, identification of�main appliances, , types of lighting, energy-related renovations,�renewable equipment, residential energy consumption.�","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"Survey of Household Energy Use (SHEU)","Purpose":"� To determine total residential energy consumption� To determine residential energy consumption for urban and rural use� To collect residential appliances diffusion� To collect dwelling physical characteristics� To collect household occupant characteristics","Recommendations":"Increased sample size and use the stratified random sampling approach\r\n�","Sample_design":"Quota sampling approach","Sample_Population_size":"3.000 / 6.813.000","Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"None","Population_description":null,"Response_rate":null,"End_uses_covered":"Space cooling, space heating, water heating, cooking, lighting, refrigerators, freezers, dishwashers,�washing machines, clothes dryers, televisions, computers, other uses","Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rsu32","Additional_observations":null,"Contact":null,"Country":"Niger","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Incomplete survey\r\nInconsistent responses\r\nResponse quality","Methodology":"Surveying","Organisation":"<a href=\"https://www.stat-niger.org/\">National Institute of Statistics</a>","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"National Institute of Statistics (Niger) ","Documentation_type":"Report","Available_documentation":"<a href=\"https://iea.blob.core.windows.net/assets/f9119c57-6dcd-4e3a-80cc-046814d64b0f/EDSN_MICSIVRapportdefinitif.pdf\" title=\"\">Enqu?te D?mographique et de Sant? et Indicateurs Multiples (EDSN-MICS IV) 2012</a>","Collection_methods":"Paper form","Frequency":"Every 5 years","Key_model_inputs":null,"Mandatory":"0","Sample_sources":"Respondents to the Households and Health Survey were men aged 15 to 59 and women aged 15 to 49 across the entire national territory of Niger. The interview was face to face with the respondents and the answers are ticked directly on the questionnaire which is in hard version.","Survey_respondents":"Ordinary occupied households. Men aged 15 to 59 and women aged 15 to 49.","Who_took_measurements":null,"Elements_collected":"Dwelling type, dwelling floor area, household occupancy, identification of main appliances, types of lighting, energy-related renovations, renewable equipment","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"All the information collected constitutes a database that will facilitate the establishment and monitoring of policies and programs in the field of population and health and, more overall, policies aimed at improving the living conditions of the Nigerien population. Moreover, the data were collected according to a methodology similar to those used in many other countries participating in the DHS (Demographic and Health Survey) program are therefore part of an internationally usable and comparable database.","Name":"Demographic health survey with multiple indicators.","Purpose":"To collect residential appliances diffusion\r\nTo collect dwelling physical characteristics\r\nTo collect household occupant characteristics","Recommendations":"Increased sample size and use of computer-assisted personal interview.","Sample_design":"Two-stage stratified bunching. At first level, 480 clusters were selected, and drawn in proportion to their size, to from the list of enumeration areas (ZD) established during the General Census of Population and Housing (RGPH) 2001. All selected clusters were enumerated exhaustive list of households. At the second level, households were drawn, at equal probability, from the list of households established during the enumeration operation.","Sample_Population_size":"16 143 / 17 129 076","Time_to_complete":"about 2 hours","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"None","Population_description":null,"Response_rate":"Women: 95,4% and Men: 88,4%","End_uses_covered":"Space cooling, space heating, water heating, lighting, refrigerators, freezers, dishwashers, washing machines, clothes dryers, televisions, computers, other small appliances: personal computers, computer printers, computer monitors, DVDs, VCRs, home theatre systems,� telephones, water coolers.","Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rsu18","Additional_observations":null,"Contact":null,"Country":"Norway","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Low response rate\r\nResponse quality","Methodology":"Surveying","Organisation":"<a href=\"https://www.ssb.no/en/\">Statistics Norway</a>","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"Statistics Norway (Norway) ","Documentation_type":"Methodology, Questionnaire, Results","Available_documentation":"<a href=\"https://www.ssb.no/en/energi-og-industri/energi/statistikk/energibruk-i-husholdningene\" title=\"Results: Energy consumption in households\">Results: Energy consumption in households 2009</a>\r\n<a href=\"https://iea.blob.core.windows.net/assets/a87af311-404c-4791-9a20-c497338b4d0b/Norway_residential_survey_methodology.pdf\" title=\"Norway residential survey methodology\">Norway residential survey methodology</a> (includes survey question examples)","Collection_methods":"Computer-assisted personal interview","Frequency":"Every three years","Key_model_inputs":null,"Mandatory":"0","Sample_sources":"National census","Survey_respondents":"Households","Who_took_measurements":null,"Elements_collected":"Dwelling type, dwelling floor area, building age, household occupancy, identification of main appliances, energy-related renovations, residential energy consumption, information from energy bills, information from energy suppliers","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"The households receive about �38 to participate in the survey.","Name":"Energy consumption per household","Purpose":"To determine total residential energy consumption\r\nTo determine residential appliances energy consumption\r\nTo collect household energy expenditure\r\nTo collect dwelling physical characteristics\r\nTo collect household occupant characteristics","Recommendations":"The response rate is about 50%. Different approaches have been used to improve the response rate, but it has been challenging to improve it beyond 50%. This has to be taken into account when selecting the gross sample. The response quality is good. It appears that errors are due to household respondents not remembering (or not being able to extract the information) of exact purchases in the last 12 months.","Sample_design":"Stratified random sampling approach","Sample_Population_size":"7 000 / 2 200 000","Time_to_complete":"12 minutes for the energy portion","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"Cash or other monetary incentives to responders","Population_description":null,"Response_rate":"52%","End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rsu34","Additional_observations":null,"Contact":null,"Country":"Philippines","Data_collected":null,"Data_collection_purpose":"The specific objectives are as follows:\r\nProvide detailed information on the changing energy consumption patterns in Filipino households, as well as socio-economic conditions affecting energy use;\r\nEstablish the fuel/energy mix of the residential sector based on its energy consumption;\r\nDetermine the most energy consuming appliances, devices and equipment used for household activities;\r\nAssess the current energy efficiency and conservation techniques in the residential sector vis-a-vis government programs for implementation of energy consumption regulation for household appliances and equipment;\r\nMeasure and analyze the incidence of inter-fuel substitution in the households; and\r\nDetermine awareness and/or perception of the household on major energy issues (i.e. nuclear energy) and developments (energy labelling program, renewable energy, natural gas) in the energy sector.","Main_challenges":"Periodicity of the HECS - need to catch up with the ideal frequency of every 5 years as the most recent survey was in 2011\r\nUnavailability of the Philippine Statistics Authority (PSA) to conduct the survey alongside their usual household-based surveys � need to establish institutional arrangements and determine an appropriate third-party service provider.\r\nLength of time to accomplish survey questionnaire � need to reduce the time for completing the questionnaire by simplification of research questions in order to prevent response burden and collection of unnecessary data items\r\nResponse quality � need to accurately account for consumption, particularly biomass sources","Methodology":"Surveying","Organisation":"Department of Energy / Philippine Statistics Authority (formerly National Statistics Office)","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"Department of Energy / Philippine Statistics Authority (formerly National Statistics Office) (Philippines) ","Documentation_type":"Questionnaire","Available_documentation":"Philippine Statistics Authority: <a href=\"https://www.psa.gov.ph/hecs\">Household Energy Consumption Survey</a>,  <a href=\"https://www.doe.gov.ph/2011-hecs-press-release\">press release</a>\r\n<a href=\"https://iea.blob.core.windows.net/assets/d1d7f53f-8cce-4574-b1a2-5001f1a41f5a/2011HECS_Questionnaire.pdf\" title=\"Philippines residential survey questionnaire\">Philippines residential survey questionnaire</a>","Collection_methods":"Personal interviews by house visits","Frequency":"Every 5 years (ideally)\r\nHECS has been conducted in 2011, 2004, 1995 and 1989.","Key_model_inputs":null,"Mandatory":"0","Sample_sources":"As in most household surveys, the 2003 MS made use of an area sample design. For this purpose, the Enumeration Area Reference File (EARF) of the 2000 Census of Population and Housing (CPH) was utilized as sampling frame. The EARF contains the number of households by enumeration area (EA) in each barangay. This frame was used to form the primary sampling units (PSUs). With consideration of the period for which the 2003 MS will be in use, the PSUs were formed or defined as a barangay (community) or a combination of barangays with at least 500 households. The 2003 MS, consisting of 2,826 PSUs with approximately 50,000 sample households, was divided into four sub-samples or independent replicates. The survey, being a half-sample, covered not less than 25,000 households across the Philippines, with its 17 administrative regions (based on Executive Order 36 and 131) as the sampling domains.","Survey_respondents":"The reporting unit is the household which means that the statistics emanating from the survey refer to the characteristics of the household population.","Who_took_measurements":null,"Elements_collected":"Energy consumption-related:\r\nnumber of households using and total consumption of electricity, including:\r\nsources of electricity;\r\nnumber of electric appliances and equipment age, types and number of lighting fixtures: by end-use (household use or household-operated activity)\r\nnumber of households using and total consumption of petroleum products (LPG, kerosene, gasoline, diesel) including:\r\nmode/source of acquisition\r\nusage by type of equipment and end-use\r\npetroleum product used for household transportation and type of vehicle used\r\nnumber of households using and total consumption of renewable energy sources (fuelwood, charcoal, biomass) including:\r\nmode/source of acquisition\r\nusage by type of equipment and end-use\r\npreferred practices to reduce energy consumption\r\nlevel of awareness and/or perception on energy issues and recent developments\r\nOther information collected (correlated with energy consumption)\r\nAverage household income\r\nDwelling type and floor area � including number of rooms, storeys","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"Localized hiring of younger enumerators that are well-versed in the native dialect for ease of conducting personal interview\r\nMulti-level training of enumerators that helped enhanced their capabilities and expertise in obtaining the needed data from respondents\r\nTranslation of the survey questionnaire from English into eight (8) major Philippine dialects to easily communicate energy concepts","Name":"2011 Household Energy Consumption Survey (HECS)","Purpose":"The primary goal of HECS is to generate comprehensive and reliable data/information and analysis of end-use energy consumption in the residential sector of the country which is essential in formulating and implementing plans, policies and programs that aim to improve the quality of life of the Filipinos, in accordance with the government�s development goals, particularly expanding energy access and strengthening consumer and welfare protection.","Recommendations":"Introduce use of computer and/or tablet-assisted personal interview\r\nImprove questionnaire design\r\nConduct capacity building of technical staff to handle survey data processing and analysis in order to improve accuracy\r\nEstablish institutional linkages to ensure regular conduct of the survey","Sample_design":"Multi stage sampling design using the 2003 Master Sample (MS) developed by the Philippine Statistics Authority (PSA) : \r\n1st stage - primary sampling unit (PSU)\r\n2nd stage - enumeration area (EA)\r\n3rd stage - housing unit","Sample_Population_size":"25,192 households / 15,275,046 (total number of households based on 2000 CPH)","Time_to_complete":"1 � 2 hours","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"None","Population_description":null,"Response_rate":"91.6%\r\nNote: The response rate is computed by dividing the total number of responding households by the total number of eligible households. For the 2011 HECS, 22,470 households were considered eligible, while a total of 20,591 households or 91.6 percent responded.","End_uses_covered":"Electricity: lighting, cooking/food preparation, water heating, recreation, refrigeration, space cooling/air conditioning, ironing, laundry, water pumping, computer activity, other appliancesPetroleum Products (LPG, kerosene, gasoline, diesel): cooking/heating water for bathing, lighting, fire starting, power generation, transportation, other usesRenewable Energy Sources (fuelwood, charcoal, biomass): cooking/ food preparation, water heating for bathing, space warming, ironing, other uses","Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rsu29","Additional_observations":null,"Contact":null,"Country":"Poland","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Incomplete survey, inconsistent responses, response quality","Methodology":"Surveying","Organisation":"<a href=\"https://stat.gov.pl/en/\">Central Statistical Office of Poland (CSO)</a>","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"Central Statistical Office of Poland (CSO) (Poland) ","Documentation_type":"Questionnaire, Report","Available_documentation":"Report:\r\n<a href=\"https://iea.blob.core.windows.net/assets/e78fb69e-318b-4247-9bed-ed304354aef5/energy_consumption_in_households_in_20122.pdf\" title=\"Poland - Report - Energy Consumption in Households in 2012 (R/Su/28)\">Poland - Energy Consumption in Households in 2012</a>\r\nQuestionnaire:\r\n<a href=\"https://iea.blob.core.windows.net/assets/e78fb69e-318b-4247-9bed-ed304354aef5/EGD_questionnaire.pdf\" title=\"Poland - Questionnaire (in Polish) - Energy Consumption in Households Survey(R/Su/28)\">Poland - Energy Consumption in Households Survey (2015)</a>","Collection_methods":"The households sampled were visited by a group of trained interviewers","Frequency":"Every 3 years","Key_model_inputs":null,"Mandatory":"0","Sample_sources":"All households included in the second sub-sample (originating from the survey), which were involved in the household budget survey in the 1st quarter of 2016. The sampling method employed in the household budget survey was described in the annual publication entitled �Household budget survey�.","Survey_respondents":"Urban - rural area, country","Who_took_measurements":"Trained interviewers, who were employees of statistical offices, in charge of conducting household budget surveys","Elements_collected":"Dwelling type, dwelling floor area, building age, household occupancy, identification of main appliances, number of light fixtures, types of lighting, energy-related renovations, renewable equipment, residential energy consumption, information from energy bills, information from energy suppliers","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"Questionnaire on fuels and energy consumption in households","Purpose":"��To determine total residential energy consumption��To determine residential appliances energy consumption��To collect residential appliances diffusion��To collect household energy expenditure��To collect dwelling physical characteristics��To collect household occupant characteristics","Recommendations":"Increased sample size and use of information from energy suppliers","Sample_design":"Stratified random sampling approach","Sample_Population_size":"4 666 / 13 400 000 households","Time_to_complete":"-","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"None","Population_description":null,"Response_rate":"95%","End_uses_covered":"Space cooling, space heating, water heating, lighting, refrigerators, freezers, dishwashers, washing machines, clothes dryers, televisions, computers, other small appliances: personal computers, computer printers, computer monitors, DVDs, VCRs, home theatre systems, video game consoles, telephones, water coolers","Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rsu04","Additional_observations":null,"Contact":null,"Country":"Portugal, Belgium, Bulgaria, Czech Republic, Denmark, France, Germany, Greece, Hungary, Italy, Norway, Romania","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Low response rate\r\nIncomplete survey\r\nResponse quality\r\nBias from the interviewer","Methodology":"Surveying","Organisation":"<a href=\"http://www.isr.uc.pt/\">Institute of Systems and Robotics-University of Coimbra</a>","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"Institute of Systems and Robotics-University of Coimbra (Portugal, Belgium, Bulgaria, Czech Republic, Denmark, France, Germany, Greece, Hungary, Italy, Norway, Romania) ","Documentation_type":"Methodology, Project website, Questionnaire, Report, Results","Available_documentation":"<a href=\"https://remodece.isr.uc.pt/\" title=\"REMODECE Homepage\">REMODECE Homepage</a>\r\n<a href=\"https://remodece.isr.uc.pt/downloads/REMODECE_QuestionnaireSurvey_D5.pdf\" title=\"Survey questionnaire\">Survey questionnaire</a>\r\n<a href=\"https://remodece.isr.uc.pt/downloads/REMODECE_Harmonised_Methodology_D4.pdf\" title=\"Survey methodology\">Survey methodology</a>\r\n<a href=\"https://remodece.isr.uc.pt/downloads/REMODECE_D9_Nov2008_Final.pdf\" title=\"Results of surveys, all countries\">Results of surveys, all countries</a>\r\n<a href=\"https://iea.blob.core.windows.net/assets/1b057f80-3a1a-4b79-a82b-4f2036b87a25/REMODECE_surveying_results_Norway.pdf\" title=\"REMODECE Results from the Norwegian survey campaign\">Results from the Norwegian survey campaign</a>\r\n<a href=\"https://iea.blob.core.windows.net/assets/1b057f80-3a1a-4b79-a82b-4f2036b87a25/REMODECE_PAPER_ENB_April2011.pdf\" title=\"REMODECE report 2011\">Report, De Almeida et al, 2011</a>","Collection_methods":"Paper form sent by mail\r\nInternet based\r\nTelephone interview\r\nIn-house visit\r\nDirect email contacts, existing consumers panel in one country (Germany)","Frequency":"Once, no regular survey cycle","Key_model_inputs":null,"Mandatory":"0","Sample_sources":"Lists of addresses, lists of telephone numbers, national census, lists from energy suppliers","Survey_respondents":"Households","Who_took_measurements":null,"Elements_collected":"Dwelling type, dwelling floor area, building age, household occupancy, income, identification of main appliances, number of light fixtures, types of lighting, residential energy consumption, information from energy bills, energy-related renovations, renewable equipment, behavioural issues and practices: washing temperatures, efficiency classes of appliances, eco-button, etc.","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"A mix of techniques was used to collect the questionnaires: face-to-face interviews, telephone interviews, direct email contacts, mail, one existing panel in one country, etc. Using Internet-based survey lowers the cost. The data from the questionnaires can be fed directly into a database.","Name":"REMODECE","Purpose":"To determine total residential energy consumption\r\nTo determine residential appliances energy consumption\r\nTo collect residential appliances diffusion\r\nTo collect dwelling physical characteristics\r\nTo collect household occupant characteristics\r\nTo complement another data collection/estimation effort","Recommendations":"The quality of the interviewing staff is very important as well as the definition of the statistical sample. Using telephone lists would be better since it would improve the response rate.","Sample_design":"Stratified random sampling approach","Sample_Population_size":"6 000 (500 per country)","Time_to_complete":"10 minutes to 40 minutes","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"Free audits, maintenance or other energy-related services or equipment, non-cash incentives such as gift coupons","Population_description":null,"Response_rate":"90%�95%","End_uses_covered":"Space cooling, space heating, water heating, lighting, refrigerators and freezers, dishwashers, washing machines, clothes dryers, televisions, computers, other","Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rsu19","Additional_observations":null,"Contact":null,"Country":"Romania","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Inconsistent responses\r\nResponse quality\r\nQuality of the interviewing staff","Methodology":"Surveying","Organisation":"<a href=\"https://insse.ro/cms/en\">National Institute of Statistics</a>","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"National Institute of Statistics (Romania) ","Documentation_type":"Questionnaire","Available_documentation":"<a href=\"https://iea.blob.core.windows.net/assets/4aa3919d-7668-47f3-a7c7-b3d93ed9424f/Romania_residential_survey_questionnaire.pdf\" title=\"Romania residential survey questionnaire\">Residential survey questionnaire</a>","Collection_methods":"In-house visit","Frequency":"No regular survey cycle","Key_model_inputs":null,"Mandatory":"0","Sample_sources":"National census","Survey_respondents":"Households","Who_took_measurements":null,"Elements_collected":"Dwelling type, dwelling floor area, building age, household occupancy, identification of main appliances, number of light fixtures, types of lighting, energy-related renovations, residential energy consumption, information from energy bills","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"Energy Consumption in Households","Purpose":"To determine total residential energy consumption\r\nTo determine residential appliances energy consumption\r\nTo collect dwelling physical characteristics","Recommendations":null,"Sample_design":"Stratified random sampling approach","Sample_Population_size":"10 920 / 7 359 000","Time_to_complete":"120 minutes","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"Free audits, maintenance or other energy-related services or equipment.","Population_description":null,"Response_rate":"88%","End_uses_covered":"Space heating, water heating, lighting, appliances","Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rsu27","Additional_observations":null,"Contact":"Teja Rutar, E-mail: <a href=\"mailto:teja.rutar@gov.si\">teja.rutar@gov.si</a>�Tel: +386 1 2340 708","Country":"Slovenia","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Response rate, response quality","Methodology":"Surveying","Organisation":"<a href=\"https://www.stat.si/StatWeb/en\">Statistical Office of the Republic of Slovenia</a>","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"Statistical Office of the Republic of Slovenia (Slovenia) ","Documentation_type":"Questionnaire, Report, Methodology","Available_documentation":"Survey questionnaire, 2010 (2014 available only in Slovenian language):\r\n<a href=\"https://iea.blob.core.windows.net/assets/b822bd9e-c9ee-4fbc-bf0a-210086107fba/Slovenia_Household_energy_consumption_survey.pdf\" title=\"Slovenia - Household energy consumption survey, 2010 (2014 available only in Slovenian language)\">Slovenia - Household energy consumption survey (2010)</a>\r\nMethodological explanations:\r\n<a href=\"https://iea.blob.core.windows.net/assets/b822bd9e-c9ee-4fbc-bf0a-210086107fba/Slovenia_Methodological_explanations.pdf\" title=\"Slovenia - Methodological explanations\">Slovenia - Methodological explanations</a>\r\nAnnual quality report (2014):\r\n<a href=\"https://iea.blob.core.windows.net/assets/b822bd9e-c9ee-4fbc-bf0a-210086107fba/Slovenia_Annual_quality_report_2014.pdf\" title=\"Slovenia - Annual quality report (2014)\">Slovenia - Annual quality report (2014)</a>","Collection_methods":"Computer-assisted telephone interviewing (2014)","Frequency":"Every 4 years (Last time surveyed in 2014)","Key_model_inputs":null,"Mandatory":"0","Sample_sources":"Central Population Register, Real Estate Register","Survey_respondents":"Residents of private dwellings","Who_took_measurements":null,"Elements_collected":"Household, dwelling and building properties, light bulbs, energy appliances, energy consumption and related expenditures, private cars","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"The notification letter accompanied by examples of actual electricity and natural gas bills on which the numbers important for the survey e.g. consumed quantities and costs were highlighted to help the respondents to find the required data.","Name":"Household energy consumption survey","Purpose":"Monitoring the structure of energy consumption in households by energy sources and end uses.","Recommendations":"Possible improvements:\r\nImproving the questionnaire and training of interviewers, change in the surveying method � combined web/personal (ongoing for the 2018 survey)","Sample_design":"Stratified random sampling","Sample_Population_size":"6,000-7,000","Time_to_complete":"15 minutes","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":"Inhabited private dwellings","Response_rate":"68% (2010), 41% (2014)","End_uses_covered":"Space heating and cooling, water heating, cooking, lighting and electrical appliances, other end uses","Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rsu20","Additional_observations":null,"Contact":"<a href=\"mailto:ciudadano@idae.es\">ciudadano@idae.es</a>","Country":"Spain","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Low response rate\r\nIncomplete survey\r\nInconsistent responses\r\nResponse quality\r\nRecruiting, training and retaining project staff","Methodology":"Surveying","Organisation":"<a href=\"https://www.idae.es/\"> IDAE - Institute for Energy Diversification and Conservation</a>","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"IDAE - Institute for Energy Diversification and Conservation (Spain) ","Documentation_type":"Report, Results","Available_documentation":"<a href=\"https://www.idae.es/uploads/documentos/documentos_Informe_SPAHOUSEC_ACC_f68291a3.pdf\" title=\"Full report (spanish) of SECH-SPAHOUSE study on the household sector\">Full report (spanish) of SECH-SPAHOUSE study on the household sector</a>\r\n<a href=\"https://www.idae.es/uploads/documentos/documentos_Documentacion_Basica_Residencial_Unido_c93da537.pdf\" title=\"Results: Summary\">Results: Summary</a>","Collection_methods":"Computer-assisted personal interview\r\nTelephone interview\r\nIn-house visit","Frequency":"Every three years","Key_model_inputs":null,"Mandatory":"0","Sample_sources":"Lists of telephone numbers; for in situ survey, a panel of homes is used","Survey_respondents":"Households","Who_took_measurements":null,"Elements_collected":"Dwelling type, dwelling floor area, building age, household occupancy, income, identification of main appliances, number of light fixtures, types of lighting, energy-related renovations, renewable equipment, residential energy consumption, information from energy bills. In addition, some aspects related to energy consumption habits are evaluated.","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"In situ survey: giving incentives for the collaboration of the households; organising the results in different life segments and styles; each panel to pretest to validate the questionnaire; quality control covering the field research and the data processing\r\nTelephone survey: collaboration with companies, expert on telephone surveys; training of the interviewers; powerful computer-assisted telephone interview surveys management system\r\nQuality control: pretest to validate the questionnaire; additional supervision of some selected surveys; data editing procedure; incorporation of a control variable to check the quality and confidence of the surveys","Name":null,"Purpose":"To determine total residential energy consumption\r\nTo determine residential appliances energy consumption\r\nTo collect residential appliances diffusion\r\nTo collect household energy expenditure\r\nTo collect dwelling physical characteristics\r\nTo collect household occupant characteristics\r\nTo complement another data collection/estimation effort\r\nTo determine the influence of the climate in the consumption of the sector\r\nTo determine the influence of the type of habitat in the consumption of the sector","Recommendations":"Better training of the staff dedicated to the execution of the surveys, a better control system which covers a pilot pretest to check the questionnaires and the development of all the processes, in order to guarantee a high rate of responses, as well as a reasonable consistency of the responses","Sample_design":"Stratified random sampling approach","Sample_Population_size":"6 390","Time_to_complete":"12 minutes","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"None","Population_description":null,"Response_rate":null,"End_uses_covered":"Space cooling, space heating, water heating, lighting, refrigerators, freezers, dishwashers, washing machines, clothes dryers, televisions, computers, other small appliances","Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rsu21","Additional_observations":null,"Contact":null,"Country":"Sweden","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Low response rate\r\nIncomplete survey\r\nInconsistent responses\r\nRecruiting, training and retaining project staff","Methodology":"Surveying","Organisation":"<a href=\"http://www.energimyndigheten.se/en/\">Swedish Energy Agency</a>","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"Swedish Energy Agency (Sweden) ","Documentation_type":"Questionnaire","Available_documentation":"<a href=\"https://iea.blob.core.windows.net/assets/591b8a3a-a5fb-4a8f-9df6-7880ff42b264/SWEDENRES_EM_Enkat_smahus.pdf\" title=\"Sweden residential survey questionnaire\">Survey questionnaire</a>","Collection_methods":"Paper form sent by mail\r\nInternet based","Frequency":"Every year","Key_model_inputs":null,"Mandatory":"0","Sample_sources":"List of addresses, other source: list from tax agency","Survey_respondents":"Households","Who_took_measurements":null,"Elements_collected":"Dwelling type, dwelling floor area, building age, household occupancy, energy-related renovations, renewable equipment, residential energy consumption","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"Energy statistics for one- and two-dwelling buildings","Purpose":"To determine total residential energy consumption\r\nTo determine residential appliances energy consumption\r\nTo collect dwelling physical characteristics\r\nTo collect household occupant characteristics","Recommendations":null,"Sample_design":"Stratified random sampling approach","Sample_Population_size":"6 800 / 1 800 000","Time_to_complete":"Not availab","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"None","Population_description":null,"Response_rate":"60%","End_uses_covered":"Space cooling, space heating, water heating, appliances","Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rsu22","Additional_observations":null,"Contact":null,"Country":"Thailand","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Low response rate\r\nIncomplete survey\r\nResponse quality\r\nBias from the interviewer","Methodology":"Surveying","Organisation":"<a href=\"http://weben.dede.go.th/webmax/\">Department of Alternative Energy Development and Efficiency</a>","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"Department of Alternative Energy Development and Efficiency (Thailand) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":"Computer-assisted personal interview\r\nIn-house visit","Frequency":"Every two years","Key_model_inputs":null,"Mandatory":"0","Sample_sources":"National census, lists from energy suppliers, lists of addresses","Survey_respondents":"Households","Who_took_measurements":null,"Elements_collected":"Dwelling type, dwelling floor area, building age, household occupancy, income, identification of main appliances, number of light fixtures, types of lighting, energy-related renovations, renewable equipment, residential energy consumption, information from energy bills, information from energy suppliers, on-site energy audit","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"Training of interviewers","Name":"Households Consumption","Purpose":"To collect residential energy consumption and expenditure","Recommendations":null,"Sample_design":"Stratified random sampling approach","Sample_Population_size":"1 710 036 / 5 700 123","Time_to_complete":"30 minutes","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"None ","Population_description":null,"Response_rate":"50%","End_uses_covered":"Space cooling, water heating, lighting, refrigerators, freezers, dishwashers, washing machines, televisions, computers, other small appliances","Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rsu36","Additional_observations":"N/A","Contact":null,"Country":"Thailand","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"depend on approval budget","Methodology":"Surveying","Organisation":"Energy Policy and Planning Office","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"Energy Policy and Planning Office (Thailand) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":"Paper by interview","Frequency":"Every 5 years (depend on budget)","Key_model_inputs":null,"Mandatory":"0","Sample_sources":"Households","Survey_respondents":"Households","Who_took_measurements":null,"Elements_collected":"lighting, refrigerators, computers, televisions, air condition, fan, microwave, washing machines, electric stove, electric iron, electric kettle, rice cooker, water heater","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"Budget of survey","Name":"Electrical appliances survey for residential sector ","Purpose":"To collect the data of electrical appliances and energy consumption behavior of households\r\nTo determine residential appliances energy consumption\r\nTo determine residential energy consumption","Recommendations":"N/A","Sample_design":"Stratified three stage cluster sampling","Sample_Population_size":"3,117 households/20,167,500 households","Time_to_complete":"60 minutes","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"None","Population_description":"Households","Response_rate":"100%","End_uses_covered":"lighting, refrigerators, computers, televisions, air condition, fan, microwave, washing machines, electric stove, electric iron, electric kettle, rice cooker, water heater","Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rsu23","Additional_observations":null,"Contact":null,"Country":"Togo","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Incomplete survey\r\nRecruiting, training and retaining project staff","Methodology":"Surveying","Organisation":"<a href=\"https://energie.gouv.tg/\">Ministry of Mines and Energy</a>","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"Ministry of Mines and Energy (Togo) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":"In-house visit","Frequency":"No regular survey cycle","Key_model_inputs":null,"Mandatory":"0","Sample_sources":"National census","Survey_respondents":"Households","Who_took_measurements":null,"Elements_collected":"Dwelling type, household occupancy, income, identification of main appliances, number of light fixtures, residential energy consumption, information from energy suppliers, on-site energy audit","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"The survey is conducted during two seasons (rainy and dry). The survey staff used a scale to measure the quantity of charcoal and wood used in households.","Name":"Questionnaire d�enquete consommation","Purpose":"To determine total residential energy consumption\r\nTo determine residential appliances energy consumption\r\nTo collect household energy expenditure\r\nTo collect dwelling physical characteristics\r\nTo collect household occupant characteristics","Recommendations":"Conduct the survey every two or three years","Sample_design":"Equal probability of selection","Sample_Population_size":"2 500 / 1 067 400","Time_to_complete":"15 minutes","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"None","Population_description":null,"Response_rate":"100%","End_uses_covered":"Water heating, lighting, cooking, refrigerators, freezers, televisions, computers, other","Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rsu24","Additional_observations":null,"Contact":"<a href=\"mailto:Energyefficiency.stats@decc.gsi.gov.uk\">Energyefficiency.stats@decc.gsi.gov.uk</a>","Country":"United Kingdom","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Recruiting, training and retaining project staff","Methodology":"Surveying","Organisation":"<a href=\"https://www.gov.uk/government/organisations/department-of-energy-climate-change\">Department of Energy and Climate Change</a>","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"Department of Energy and Climate Change (United Kingdom) ","Documentation_type":"Questionnaire, Project website","Available_documentation":"<a href=\"https://www.gov.uk/government/collections/english-housing-survey\" title=\"Project website: English housing survey\">Project website: English housing survey</a>\r\n<a href=\"https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/461439/EHS_Households_2013-14.pdf\" title=\"English housing survey questionnaire 1\">English housing survey questionnaire 1</a>\r\n<a href=\"https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/534641/EHS_physical_survey_form_2013-14.pdf\" title=\"English housing survey questionnaire 2\">English housing survey questionnaire 2</a>","Collection_methods":"Computer-assisted personal interview\r\nIn-house visit: physical survey carried out by a technical surveyor","Frequency":"Every year","Key_model_inputs":null,"Mandatory":"0","Sample_sources":"List of addresses","Survey_respondents":"Households","Who_took_measurements":null,"Elements_collected":"Dwelling type, dwelling floor area, building age, household occupancy, income, identification of main appliances, number of light fixtures, energy-related renovations, residential energy consumption, on-site energy audit","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"English Housing Survey","Purpose":"To collect dwelling physical characteristics\r\nTo complement another data collection/estimation effort","Recommendations":null,"Sample_design":"Stratified random sampling approach","Sample_Population_size":"16 000 / 22 000 000","Time_to_complete":"Not available","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"None","Population_description":null,"Response_rate":"Not available","End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"rsu25","Additional_observations":null,"Contact":null,"Country":"United States","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Maintaining a high response rate\r\nQuality of householder self-reported answers\r\nQuality of the interviewing staff\r\nSurvey conducted under contract and without full control","Methodology":"Surveying","Organisation":"<a href=\"https://www.eia.gov/\">Energy Information Administration</a>","Sector":"Residential","Sectors_covered":null,"Sources":null,"Title":"Energy Information Administration (United States) ","Documentation_type":"Project website, Methodology, Questionnaire, Results","Available_documentation":"<a href=\"https://www.eia.gov/consumption/residential/\" title=\"Project website: Residential Energy Consumption Survey\">Project website: Residential Energy Consumption Survey (RECS)</a>\r\nQuestionnaire: <a href=\"https://www.eia.gov/survey/#eia-457\" title=\"Survey Forms\">Survey forms</a>\r\nResults: <a href=\"https://www.eia.gov/consumption/residential/data/2009/\" title=\"Results: 2009 RECS Survey Data\">2009 RECS Survey Data</a>\r\n<a href=\"https://www.eia.gov/consumption/residential/data/2009/index.php?view=methodology\" title=\"RECS Documentation &amp; Methodology\">RECS Documentation &amp; Methodology</a>","Collection_methods":"Computer-assisted personal interview\r\nIn-house visit\r\nTelephone interview for many of the rental agent surveys\r\nCombination of a paper form and an Internet-based survey for the supplier survey","Frequency":"Every four years","Key_model_inputs":null,"Mandatory":"0","Sample_sources":"List of addresses","Survey_respondents":"Households, rental agents for housing units sampled where rent includes energy costs","Who_took_measurements":null,"Elements_collected":"Dwelling type, dwelling floor area, building age, household occupancy, income, identification of main appliances, number of light fixtures, types of lighting, energy-related renovations, renewable equipment, energy bills to administer follow-up survey with energy suppliers, names of energy suppliers of sampled households, eligibility criteria for low-income energy assistance programmes, Energy Star features on appliances","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"Systematic quality control procedures and IT processes from instrument design and data review to statistical estimation. This reduces errors where they occur, whether in CAPI, data processing or tabulation. Utility bills were also scanned by interviewers using portable scanners.","Name":"Residential Energy Consumption Survey","Purpose":"To determine total residential energy consumption\r\nTo determine residential appliances energy consumption\r\nTo collect residential appliances diffusion\r\nTo collect household energy expenditure\r\nTo collect dwelling physical characteristics\r\nTo collect household occupant characteristics","Recommendations":"Adding an energy audit element to validate, improve or replace respondent answers on fuel sources, energy equipment characteristics, or other more technical information. Redesigning repetitive series to reduce interview time, improving accuracy of behavioural frequency questions.","Sample_design":"Area-probability sample survey","Sample_Population_size":"15 300 / 113 616 229","Time_to_complete":"50 minutes","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"Cash or other monetary incentives to responders, energy brochures, information about low-income home energy assistance programmes, magnets with survey logo","Population_description":null,"Response_rate":"79%","End_uses_covered":"Space heating, water heating, space cooling, lighting, appliances","Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"sad01","Additional_observations":"This survey was performed only for the Flemish region","Contact":null,"Country":"Belgium","Data_collected":"Annual energy consumption of municipal buildings, schools, hospitals and retirement homes","Data_collection_purpose":null,"Main_challenges":"Time-consuming to gather data\r\nIn paper format � difficult to transfer to digital format","Methodology":"Administrative sources","Organisation":"<a href=\"https://vito.be/en\">Vision on Technology</a>","Sector":"Services","Sectors_covered":null,"Sources":"Energy utilities (gas, oil, electricity, other)\r\nSupplied electricity and natural gas by grid operator, by sector (mandatory reporting on a yearly basis)","Title":"Vision on Technology (Belgium) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":null,"Key_model_inputs":null,"Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":null,"Purpose":null,"Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"sad02","Additional_observations":"Some data are estimated","Contact":null,"Country":"Bosnia and Herzegovina","Data_collected":"Electricity consumption by voltage levels","Data_collection_purpose":"To collect energy consumption for commercial and public services sector","Main_challenges":"Time-consuming to gather data\r\nIn paper format � difficult to transfer to digital format\r\nData were incomplete","Methodology":"Administrative sources","Organisation":"<a href=\"https://www.vladars.net/eng/vlada/ministries/MIEM/Pages/default.aspx\">Ministry of Industry, Energy and Mining of Republic of Srpska</a>","Sector":"Services","Sectors_covered":null,"Sources":"Government statistics office\r\nEnergy utilities (gas, oil, electricity, other)\r\nManufacturers","Title":"Ministry of Industry, Energy and Mining of Republic of Srpska (Bosnia and Herzegovina) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":null,"Key_model_inputs":null,"Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":null,"Purpose":null,"Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"sad03","Additional_observations":"In comparison with other countries in the region, Bosnia and Herzegovina is special because there are three power utilities operating independently. In the Republic of Srpska, there is ERS. In BiH Federation, there are EP BiH and EP HZHB, while the company in the Brcko District performs only distribution and supplying activities. Regulation of the BiH electric energy sector is a common activity of three regulatory commissions. The State Regulatory Commission for Electricity mostly regulates transmission company, independent system operator and international electricity trade; two other regulatory commissions (Regulatory Commission for Energy in the Republic of Srpska and Regulatory Commission for Electricity in BiH Federation) regulate electricity generation, distribution and supply.","Contact":null,"Country":"Bosnia and Herzegovina","Data_collected":null,"Data_collection_purpose":"To prepare energy balances of electricity","Main_challenges":"Many data points crossed off due to confidentiality of the sources\r\nIn paper format � difficult to transfer to digital format\r\nDefinition issues within a sector\r\nData were incomplete","Methodology":"Administrative sources","Organisation":"<a href=\"https://ers.ba/home-en-template/\">Power Utility of the Republic of Srpska</a>","Sector":"Services","Sectors_covered":null,"Sources":"Energy utilities (gas, oil, electricity, other)","Title":"Power Utility of the Republic of Srpska (Bosnia and Herzegovina) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":null,"Key_model_inputs":null,"Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":null,"Purpose":null,"Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"sad04","Additional_observations":null,"Contact":null,"Country":"Hong Kong, China","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":null,"Methodology":"Administrative sources","Organisation":"<a href=\"http://www.emsd.gov.hk/emsd/\">Electrical and Mechanical Services Department</a>","Sector":"Services","Sectors_covered":null,"Sources":"Government statistics office\r\nEnergy utilities (gas, oil, electricity, other)","Title":"Electrical and Mechanical Services Department (Hong Kong, China) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":null,"Key_model_inputs":null,"Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":null,"Purpose":null,"Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"sad05","Additional_observations":null,"Contact":null,"Country":"Israel","Data_collected":"Energy supply and consumption","Data_collection_purpose":"To prepare energy balances","Main_challenges":"Time-consuming to gather data\r\nTook a long time to establish a relationship with the organisation","Methodology":"Administrative sources","Organisation":"<a href=\"https://www.cbs.gov.il/he/pages/default.aspx\">Central Bureau of Statistics</a>","Sector":"Services","Sectors_covered":null,"Sources":"Energy utilities (gas, oil, electricity, other)","Title":"Central Bureau of Statistics (Israel) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":null,"Key_model_inputs":null,"Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":null,"Purpose":null,"Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"sad06","Additional_observations":null,"Contact":null,"Country":"Korea","Data_collected":"Imports, exports, sales, production, stocks of crude oil and final oil products","Data_collection_purpose":"To prepare national oil supply-and-demand statistics","Main_challenges":"In paper format � difficult to transfer to digital format\r\nDefinition issues within a sector","Methodology":"Administrative sources","Organisation":"<a href=\"http://www.knoc.co.kr/ENG/main.jsp\">Korea National Oil Corporation</a>","Sector":"Services","Sectors_covered":null,"Sources":"Manufacturers","Title":"Korea National Oil Corporation (Korea) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":null,"Key_model_inputs":null,"Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":null,"Purpose":null,"Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"sad07","Additional_observations":null,"Contact":null,"Country":"Mexico","Data_collected":"Total services energy consumption by fuel type","Data_collection_purpose":"To prepare <a href=\"http://www.sener.gob.mx/portal/default.aspx?id=1433\" title=\"national energy balances\">national energy balances</a>","Main_challenges":"Definition issues within a sector\r\nLack of detailed data","Methodology":"Administrative sources","Organisation":"<a href=\"https://www.gob.mx/sener\">Ministry of Energy</a>","Sector":"Services","Sectors_covered":null,"Sources":"Energy utilities (gas, oil, electricity, other)\r\nCFE (state-owned electricity company in Mexico): electricity sales\r\nPEMEX (state-owned petroleum company): petroleum product sales to the sector","Title":"Ministry of Energy (Mexico) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":null,"Key_model_inputs":null,"Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":null,"Purpose":null,"Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"sad08","Additional_observations":"Although this project took more time to develop than expected it is still very promising","Contact":null,"Country":"Netherlands","Data_collected":"For each connection of gas and electricity (households and companies): annual purchased amounts of gas and electricity (no break down by end use)","Data_collection_purpose":"To derive end use of electricity and gas in all services sub-sectors (on NACE 2-digit level)","Main_challenges":"Time-consuming to gather data\r\nTook a long time to establish a relationship with the organisation\r\nNeeded to establish the obligation to deliver client files to Statistics Netherlands office for statistical purposes in the statistical law (took several years). Without obligation companies are not willing to co-operate (based on experience in the Netherlands).","Methodology":"Administrative sources","Organisation":"<a href=\"http://www.cbs.nl/en-GB/menu/home/default.htm\">Statistics Netherlands, Department of Energy Statistics</a>","Sector":"Services","Sectors_covered":null,"Sources":"Energy utilities (gas, oil, electricity, other)","Title":"Statistics Netherlands, Department of Energy Statistics (Netherlands) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":null,"Key_model_inputs":null,"Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":null,"Purpose":null,"Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"sad11","Additional_observations":"��Efficiency indicators of services enterprises: Currently the following efficiency indicators are published:\r\ngas consumption per m2 floor size differentiated by type of business building, floor area size and building period.\r\nelectricity consumption per m2 floor size differentiated by type of business building, floor area size and building period.�","Contact":null,"Country":"Netherlands","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Linking data: addresses, especially the number extension, are not always registered the same way in different registers.\r\nIdentifying types of business buildings. The BAG and Dataland provide information on building use.\r\nIdentifying the user of the building (business activity): The national business register does not link well with client files, as the register does not contain updated information of all addresses. Currently the user is identified using information from several registers, including the client files. Often energy connections of businesses contain the name of the business. The methodology needs to be improved and harmonized with statistics on businesses.\r\nIdentifying businesses using district heating. The registers of postal codes with district heating overestimate the use of district heating by businesses. If a business is located in a postal area where district heating is registered and little or no gas deliveries are linked to the business, the business is considered to make use of district heating, and the other way around.\r\nOther energy sources. Data on alternative energy sources are currently not available at the micro level and is not considered in statistics on energy consumption and energy efficiency of services.\r\nIdentifying business locations sharing gas connections: For instance a hospital often includes several buildings which are served by one or few gas connections. Identifying which buildings are served by which connections is more complicated for businesses than for private dwellings, as the business buildings served by a shared gas connection are often several free standing buildings. The buildings register includes an identification of buildings containing more than one address. The buildings register is geo-referenced, which enables to use GIS to identify buildings in close vicinity. Such information can be used to identify buildings sharing a gas connection.","Methodology":"Administrative sources","Organisation":"<a href=\"https://www.cbs.nl/en-gb\">Statistics Netherlands</a>","Sector":"Services","Sectors_covered":null,"Sources":"�\r\nClient files; registers of the public network companies containing gas and electricity connections in the Netherlands.\r\nBasisregistratie Adressen en Gebouwen (BAG); register of all buildings and addresses in the Netherlands, includes data on surface of the building, the year in which the building was build and the type of building including whether the building is for residential purposes or for business purposes.\r\nDataland: a national register which contains more specific information about the building type.\r\nNational Business Register: the register which includes information about all enterprises in the Netherlands including information about the address of the main location of the enterprise.\r\nLocatus: a national register of enterprises in the services sector, mainly wholesale, retail and food serving.\r\nDistrict heating registers: these registers contain postal codes where district heating can be found.\r\n�","Title":"Statistics Netherlands (Netherlands) ","Documentation_type":"Methodology, Project website","Available_documentation":"<a href=\"https://www.cbs.nl/en-gb/our-services/methods/surveys/korte-onderzoeksbeschrijvingen/supply-of-electricity-and-natural-gas-via-the-national-grid\">Supply of electricity and natural gas via the national grid</a>\r\n<a href=\"https://iea.blob.core.windows.net/assets/0e28f87f-e111-4de5-9144-fb14b0cac217/160617_Using_admin_data_in_energy_statistics_ESWG.pdf\" title=\"Using admin data for energy statistics presentation\">Using admin data for energy statistics (Presentation)</a>","Collection_methods":null,"Frequency":null,"Key_model_inputs":null,"Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"Data are available at micro level for all businesses.��","Name":"Client files","Purpose":"To provide statistics on energy consumption in services.�","Recommendations":"To monitor the energy transition in the building sector, a revised method will be developed in cooperation with other institutes. This will allow the monitoring of efficiency improvements in the building sector over time.�Improvements should include a harmonized methodology to identify the business type (user).","Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"sad09","Additional_observations":"Collaboration of the different administrative bodies at national and local levels will further help improve data quality and data collection","Contact":"<a href=\"mailto:ciudadano@idae.es\">ciudadano@idae.es</a>","Country":"Spain","Data_collected":"Ministry of Economy and Finance, Spanish Statistics Office: accounting data; employment of different branches of the services sector; data on new buildings, such as annual construction (m2)\r\nMinisterio de Industria, Energia y Turismo: data for energy balances (by sources and sectors)","Data_collection_purpose":"To obtain value-added of services sector by branch and breakdown of the final energy consumption by energy source","Main_challenges":"Time-consuming to gather data\r\nData were incomplete","Methodology":"Administrative sources","Organisation":"<a href=\"https://www.idae.es/\"> IDAE - Institute for Energy Diversification and Conservation</a>","Sector":"Services","Sectors_covered":null,"Sources":"Government statistics office\r\nEnergy utilities (gas, oil, electricity, other)\r\nNational or international associations and organisations","Title":"IDAE - Institute for Energy Diversification and Conservation (Spain) ","Documentation_type":"Project website","Available_documentation":"<a href=\"http://sieeweb.idae.es/consumofinal/\" title=\"Energy balances data\">Energy balances data</a>","Collection_methods":null,"Frequency":null,"Key_model_inputs":null,"Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":null,"Purpose":null,"Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"sad10","Additional_observations":null,"Contact":"<a href=\"mailto:Energyefficiency.stats@decc.gsi.gov.uk\">Energyefficiency.stats@decc.gsi.gov.uk</a>","Country":"United Kingdom","Data_collected":"Energy consumption by sector (the commercial and public sectors are identified based on their tariffs and meter types)","Data_collection_purpose":"To produce energy consumption by energy source for the commercial sector and separately for the public administration sector in the energy consumption balance","Main_challenges":"Time-consuming to gather data\r\nDefinition issues within a sector","Methodology":"Administrative sources","Organisation":"<a href=\"https://www.gov.uk/government/organisations/department-of-energy-climate-change\">Department of Energy and Climate Change</a>","Sector":"Services","Sectors_covered":null,"Sources":"Energy utilities (gas, oil, electricity, other)","Title":"Department of Energy and Climate Change (United Kingdom) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":null,"Key_model_inputs":null,"Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":null,"Purpose":null,"Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"sme01","Additional_observations":null,"Contact":null,"Country":"Bosnia and Herzegovina","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Quality control","Methodology":"Measuring","Organisation":"<a href=\"https://ers.ba/home-en-template/\">Power Utility of the Republic of Srpska</a>","Sector":"Services","Sectors_covered":null,"Sources":null,"Title":"Power Utility of the Republic of Srpska (Bosnia and Herzegovina) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":"Every three months","Key_model_inputs":null,"Mandatory":null,"Sample_sources":"List of telephone numbers","Survey_respondents":null,"Who_took_measurements":"Energy supplying companies, transmission company, independent system operator","Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":"1","Key_best_practice":null,"Name":"Analysis of loads","Purpose":"To complement an existing survey or data collection effort with energy consumption data\r\nTo complement a model with energy consumption patterns","Recommendations":"Having a bigger sample size","Sample_design":"Simple random sampling","Sample_Population_size":"2 500 / 528 000","Time_to_complete":"Seven days","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"sme02","Additional_observations":null,"Contact":null,"Country":"New Zealand","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":null,"Methodology":"Measuring","Organisation":"<a href=\"https://www.eeca.govt.nz/\">Energy Efficiency and Conservation Authority</a>","Sector":"Services","Sectors_covered":null,"Sources":null,"Title":"Energy Efficiency and Conservation Authority (New Zealand) ","Documentation_type":"Project website, Report, Results","Available_documentation":"<a href=\"https://www.branz.co.nz/environment-zero-carbon-research/bees/\" title=\"Building Energy End-Use Study (BEES)\">Building Energy End-Use Study (BEES)</a>\r\n<a href=\"https://www.branz.co.nz/environment-zero-carbon-research/bees/analysis-and-results/detailed-monitoring-results/\" title=\"BEES detailed monitoring results\">BEES detailed monitoring results</a>\r\n<a href=\"https://www.branz.co.nz/environment-zero-carbon-research/bees/publications-and-presentations/\" title=\"BEES Reports\">BEES Reports</a>","Collection_methods":null,"Frequency":"Only conducted once","Key_model_inputs":null,"Mandatory":null,"Sample_sources":"Property Valuation Roll and NZ Building Code definition; an innovative approach based on the use of Internet search, coupled with the use of Google Earth and Street View","Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"Building Energy End-Use Study","Purpose":"To measure energy consumption of buildings by service type\r\nTo understand occupant equipment utilisation pattern within a building over a given period of time\r\nTo understand effectiveness of existing energy efficiency policies and regulations\r\nTo measure diffusion and energy consumption from office equipment\r\nTo understand seasonal energy consumption of a building\r\nTo establish energy efficiency benchmarks within the services sector\r\nTo complement an existing survey or data collection effort with energy consumption data\r\nTo complement a model with energy consumption patterns","Recommendations":null,"Sample_design":"Stratified random sampling approach; a stratified sampling design divided into 50 strata, mainly size, use and geographical groupings.","Sample_Population_size":"500 / 50 000","Time_to_complete":"Not available","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":"This study covers non-residential buildings such as office and retail use. Excluded are industrial and all ancillary and external structures such as boiler houses or parking spaces.","Response_rate":null,"End_uses_covered":"Space heating\r\nWater heating\r\nOffice equipment\r\nLighting","Service_categories_covered":"Office, Retail space, Food sales, Food service, Lodging, Arts and entertainment, Multipurpose building","Vehicle_type_covered":null},{"Link_ID":"sme03","Additional_observations":null,"Contact":null,"Country":"Sweden","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":null,"Methodology":"Measuring","Organisation":"<a href=\"http://www.energimyndigheten.se/en/\">Swedish Energy Agency</a>","Sector":"Services","Sectors_covered":null,"Sources":null,"Title":"Swedish Energy Agency (Sweden) ","Documentation_type":"Report, Results, Project website","Available_documentation":"<a href=\"https://iea.blob.core.windows.net/assets/0fae3aad-0dd2-402a-aebf-4b3504508ed2/Sweden_STIL2_report.pdf\" title=\"STIL2 Report\">STIL2 Report</a>\r\n<a href=\"http://www.energimyndigheten.se/statistik/den-officiella-statistiken/forbattrad-energistatistik-i-bebyggelsen-och-industrin/statistik-i-lokaler-stil2/\" title=\"Project website\">Project website</a>\r\n<a href=\"http://www.energimyndigheten.se/en/news/2012/reduced-energy-use-for-multi-dwelling-buildings-and-non-residential-premises-2011/\" title=\"Results\">Results</a>","Collection_methods":null,"Frequency":"The measurements have been conducted for one building type (office, retail, sports centre, health care, etc.) per year. First measurements in 2005.","Key_model_inputs":null,"Mandatory":null,"Sample_sources":"List from energy supplier, list of addresses, registry of businesses","Survey_respondents":null,"Who_took_measurements":"Energy auditors, building operators","Elements_collected":null,"Equipment_used":"Current meter (data logger)","Geo_climatic_measurements":"1","Key_best_practice":"Training and repetition. The same company and in most cases same staffs carried out the whole campaign (six years).","Name":"STIL2","Purpose":"To measure energy consumption of buildings by service type\r\nTo measure diffusion and energy consumption from office equipment\r\nTo establish energy efficiency benchmarks within the services sector\r\nTo complement an existing survey or data collection effort (energy statistics for non-residential premises) with energy consumption data","Recommendations":"It is important to prioritise the planning phase. With good planning, the time for the experts at the site can be minimised and the quality can be improved. In the preparatory phase there was a reference group representing building owners.","Sample_design":"Stratified random sampling approach","Sample_Population_size":"1 000 / 62 700","Time_to_complete":"1.5 days","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":"Majority of buildings in one specific geographical area to keep the costs down. Total area of building between 200 and 5 000 m2. Majority of area used for the specific activity of the building (office activity, health care, etc.).","Response_rate":null,"End_uses_covered":"Space heating\r\nSpace cooling\r\nWater heating\r\nAuxiliary motors\r\nOffice equipment\r\nOffice kitchenette equipment\r\nLighting\r\nVentilation, electricity use typical for the specific building types (health care, offices, etc.)","Service_categories_covered":"Office, Retail space, Healthcare, Education, Food sales, Arts and entertainment","Vehicle_type_covered":null},{"Link_ID":"smo01","Additional_observations":"The lack of primary source data relating to the commercial and services sector has meant that estimation of energy use in this sector has been based on secondary sources and analysis of the residual energy remaining after the estimates of other sectors� energy use. The modelling was undertaken with the aim of adding a more thorough estimation framework to guide and improve the consistency of annual estimates. The top-down approach was used to identify price and income elasticities on a case-by-case basis for commercial and services energy consumption for each Australian state and fuel type using a variety of indicators and fairly straightforward econometric techniques. The quality, periodicity and availability of input data limit the sophistication of techniques that can be used for this purpose.","Contact":"<a href=\"mailto:energy.statistics@industry.gov.au\">energy.statistics@industry.gov.au</a>","Country":"Australia","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Modelling boundary definition\r\nLack of input data\r\nQuality control issues with input data","Methodology":"Modelling","Organisation":"<a href=\"http://www.environment.gov.au/\">Department of Agriculture, Water and the Environment</a>","Sector":"Services","Sectors_covered":null,"Sources":null,"Title":"Department of Environment and Energy (formely ender Australian Bureau of Resources and Energy Economics) (Australia) ","Documentation_type":"Results","Available_documentation":"Results: <a href=\"https://iea.blob.core.windows.net/assets/4dc719ef-232d-4b59-9d36-72ecadce6227/australian_energy_update_2018.pdf\" title=\"\">Australia Energy Statistics</a>","Collection_methods":null,"Frequency":"No regular cycle","Key_model_inputs":"Energy prices\r\nMacroeconomic data\r\nLabour force indicators","Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":null,"Purpose":"To estimate energy consumption in the commercial and services sector by Australian state and fuel type","Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":"Energy consumption by region and fuel type","Model_type":"Top-down econometric model Modelling of the commercial and services sector is done �in-house� using recognised econometric software such as Stata and Eviews","Results_validated":"No","Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":"Healthcare, Education, Food sales, Food service, Lodging, Arts and entertainment","Vehicle_type_covered":null},{"Link_ID":"smo02","Additional_observations":null,"Contact":null,"Country":"Belgium","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Lack of input data","Methodology":"Modelling","Organisation":"<a href=\"https://vito.be/en\">Vision on Technology</a>","Sector":"Services","Sectors_covered":null,"Sources":null,"Title":"Vision on Technology (Belgium) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":"Every year","Key_model_inputs":"Electricity consumption surveyed per sector\r\nTotal electricity supplied to the sector","Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"Assessment of Energy Use Based on Electricity Consumption","Purpose":"To complement data collected in a survey or other data collection exercises such as supplied electricity and natural gas by the grid operators (yearly mandatory reporting) and monitoring reports of yearly energy consumption of public buildings (city town houses, swimming pools, theatres, etc.)","Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":"Total energy consumption per building","Model_type":"The approach used is to extrapolate oil use based on the share of electricity surveyed compared with the total electricity supplied. This approach is applied on a sector-by-sector basis, which is defined as per NACE codes.","Results_validated":"No","Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":"Office, Retail space, Warehouse, Healthcare, Education, Food sales, Food service, Lodging, Multipurpose building, Arts and entertainment","Vehicle_type_covered":null},{"Link_ID":"smo04","Additional_observations":null,"Contact":null,"Country":"Bosnia and Herzegovina","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":null,"Methodology":"Modelling","Organisation":"<a href=\"https://ers.ba/home-en-template/\">Power Utility of the Republic of Srpska</a>","Sector":"Services","Sectors_covered":null,"Sources":null,"Title":"Energy Institute Hrvoje Pozar in Croatia (Bosnia and Herzegovina) ","Documentation_type":"Report","Available_documentation":"<a href=\"https://iea.blob.core.windows.net/assets/02b06c46-0e05-446c-aaf8-689a5c8e60fd/BiH_Energy_sector_study.pdf\" title=\"\">Energy Sector Study BiH</a> - Module C","Collection_methods":null,"Frequency":"Only conducted once","Key_model_inputs":"Space heating system\r\nSpace cooling system\r\nWater heating system\r\nHeating, ventilation and air-conditioning (HVAC) system cost\r\nHVAC life cycle\r\nHVAC energy rating\r\nBuilding thermal envelope\r\nBuilding occupancy","Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":null,"Purpose":"To estimate building energy consumption\r\nTo calculate regional energy consumption profile of buildings by service type\r\nTo estimate diffusion of office equipment\r\nTo estimate energy consumption of office equipment\r\nTo complement data collected in a survey or other data collection exercises","Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":"Total energy consumption per building\r\nHeating energy consumption\r\nCooling energy consumption\r\nWater heating energy consumption\r\nEnergy consumption of office equipment\r\nLighting energy consumption\r\nAuxiliary motors","Model_type":"� Bottom-up engineering model \r\n� Custom-built model, end-use modelling with MAED tool","Results_validated":"Yes: calibration with energy balances","Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":"Arts and entertainment, Education, Food sales, Food service, Healthcare, Lodging, Multipurpose building, Office, Retail space, Warehouse","Vehicle_type_covered":null},{"Link_ID":"smo03","Additional_observations":null,"Contact":null,"Country":"Canada","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Lack of input data","Methodology":"Modelling","Organisation":"<a href=\"https://www.nrcan.gc.ca/\">Natural Resources Canada</a>","Sector":"Services","Sectors_covered":null,"Sources":null,"Title":"Natural Resources Canada (Canada) ","Documentation_type":"Results","Available_documentation":"<a href=\"https://oee.nrcan.gc.ca/publications/statistics/handbook2010/handbook2013.pdf\" title=\"Energy Use Data Handbook\">Energy Use Data Handbook</a>\r\nResults: <a href=\"https://oee.nrcan.gc.ca/corporate/statistics/neud/dpa/menus/trends/comprehensive/trends_com_ca.cfm\" title=\"Comprehensive Energy Use Database - Commercial/Institutional Sector \">Comprehensive Energy Use Database - Commercial/Institutional Sector</a>","Collection_methods":null,"Frequency":"Every year","Key_model_inputs":"Space heating system\r\nSpace cooling system\r\nWater heating system\r\nBuilding occupancy\r\nOffice equipment power consumption\r\nEnergy prices\r\nMacroeconomic data","Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"Commercial Energy End-Use Model","Purpose":"To estimate building energy consumption\r\nTo calculate regional energy consumption profile of buildings by service type\r\nTo estimate diffusion of office equipment\r\nTo estimate energy consumption of office equipment","Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":"Heating energy consumption\r\nCooling energy consumption\r\nWater heating energy consumption\r\nEnergy consumption of office equipment\r\nLighting energy consumption\r\nAuxiliary motors","Model_type":"Bottom-up statistical model The modelling tool was developed in-house and undergoes continuous improvements to take into account new or improved data.","Results_validated":"Yes: the Report on Energy Supply and Demand in Canada from Statistics Canada and National Inventory Report from Environment Canada are used for calibration.","Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":"Arts and entertainment, Education, Food service, Healthcare, Lodging, Office, Retail space, Warehouse","Vehicle_type_covered":null},{"Link_ID":"smo06","Additional_observations":null,"Contact":null,"Country":"Mexico","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Lack of input data\r\nQuality control issues with input data\r\nChoice of assumptions","Methodology":"Modelling","Organisation":"<a href=\"https://www.gob.mx/sener\">Ministry of Energy</a>","Sector":"Services","Sectors_covered":null,"Sources":null,"Title":"Ministry of Energy (Mexico) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":"Only conducted once","Key_model_inputs":"Building occupancy\r\nMacroeconomic data\r\nUse of a norm or policy set by the government to determine the lighting requirements for each building, according to the number of workers and employees","Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"Existing economic surveys and administrative records were used to derive final energy consumption estimates.","Name":"Electricity Consumption for Lighting in the Commercial Sector","Purpose":"To estimate electricity consumption for lighting by service type","Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":"Lighting energy consumption","Model_type":"Bottom-up statistical model \r\nEstimation done using Excel and SPSS instead of more sophisticated software due to the lack of resources","Results_validated":"Yes: total electricity consumption in the services sector was used to validate the results","Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":"Arts and entertainment, Education, Food sales, Food service, Healthcare, Lodging, Office, Retail space, Warehouse","Vehicle_type_covered":null},{"Link_ID":"smo07","Additional_observations":null,"Contact":null,"Country":"New Zealand","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Quality control issues with the model\r\nLack of input data\r\nQuality control issues with input data\r\nChoice of assumptions","Methodology":"Modelling","Organisation":"<a href=\"https://www.eeca.govt.nz/\">Energy Efficiency and Conservation Authority</a>","Sector":"Services","Sectors_covered":null,"Sources":null,"Title":"Energy Efficiency and Conservation Authority (EECA) (New Zealand) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":"Every five years","Key_model_inputs":"Technology life cycle\r\nMacroeconomic data\r\nHeating/cooling degree days\r\nMain building function\r\nBuilding floor area\r\nBuilding age\r\nType of renovations\r\nNumber of occupants/employees\r\nOccupancy time patterns\r\nEnergy bills from building operator\r\nEnergy consumption from energy supplier\r\nDiffusion of office equipment\r\nNumber of lights\r\nDiffusion of lighting by type","Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"Building Energy End-Use Project \r\nEECA End-Use Data Modelling Exercise","Purpose":"To estimate building energy consumption\r\nTo calculate regional energy consumption profile of buildings by service type\r\nTo estimate energy consumption of office equipment\r\nTo complement data collected in a survey or other data collection exercises","Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":"Space heating energy consumption, space cooling energy consumption, water heating energy consumption, equipment energy consumption, lighting energy consumption","Model_type":"� Bottom-up statistical model \r\n� Purchased an existing model","Results_validated":"Yes: the estimates are validated with national New Zealand statistics and other organisations","Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":"Arts and entertainment, Food sales, Food service, Lodging, Multipurpose building, Office, Retail space","Vehicle_type_covered":null},{"Link_ID":"smo08","Additional_observations":null,"Contact":"<a href=\"mailto:ciudadano@idae.es\">ciudadano@idae.es</a>","Country":"Spain","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Quality control issues with the model\r\nLack of input data\r\nQuality control issues with input data","Methodology":"Modelling","Organisation":"<a href=\"https://www.idae.es/\"> IDAE - Institute for Energy Diversification and Conservation</a>","Sector":"Services","Sectors_covered":null,"Sources":null,"Title":"IDAE - Institute for Energy Diversification and Conservation (Spain) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":"Every year","Key_model_inputs":"Macroeconomic data","Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"Comparing economic data with available energy data periodically","Name":null,"Purpose":"To estimate building energy consumption","Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":"Total energy consumption by sector and source of energy","Model_type":"� Top-down technological model \r\n� Custom-built model which uses input-output tables of the economy to make the breakdown of the total consumption of the sector by branches","Results_validated":"Yes: in the future results will be validated against outcomes from the hotel and hospital surveys","Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":"Office, Retail space, Lodging, Healthcare","Vehicle_type_covered":null},{"Link_ID":"smo09","Additional_observations":"The analysis of energy consumption by end use is based on the models developed for the energy perspectives. Fifteen years of experience and annual model runs have helped to increase the number of inputs in all fields of data sources.","Contact":null,"Country":"Switzerland","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Lack of input data\r\nIncluding new trends whenever possible","Methodology":"Modelling","Organisation":"<a href=\"https://www.bfe.admin.ch/bfe/de/home.html\">Swiss Federal Office of Energy; TEP Energy</a>","Sector":"Services","Sectors_covered":null,"Sources":null,"Title":"Swiss Federal Office of Energy; TEP Energy (Switzerland) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":"Every year","Key_model_inputs":"Space heating system\r\nSpace cooling system\r\nWater heating system\r\nHVAC life cycle\r\nBuilding thermal envelope\r\nBuilding occupancy\r\nOffice equipment power consumption\r\nTechnology life cycle\r\nEnergy prices\r\nData from national register of building and dwellings, statistics of value added, job statistics, energy reference area, heating degree days (HDD) &amp; radiation, etc.","Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"Services Energy Consumption Model, SERVE04","Purpose":"To estimate services energy consumption in general, by end use and by determinant factors. The basic model was developed for energy perspectives, but also serves for the ex post analysis of energy consumption by end use and by determinant factors. The model is calibrated to the Swiss energy balances. Adding statistics (inputs) of the actual year allows getting output in form of end-use data.","Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":"Heating energy consumption\r\nCooling energy consumption\r\nWater heating energy consumption\r\nEnergy consumption of office equipment\r\nLighting energy consumption\r\nAuxiliary motors\r\nProcess heat, information and communications technology (ICT) incl. consumer entertainment electronics","Model_type":"Bottom-up energy-economic model, close to bottom-up engineering model but using further inputs. The model is mainly based on administrative data (Federal Office of Statistics, Federal Office of Energy, etc.) but also uses data from utilities, manufacturers. Custom-built model","Results_validated":"Yes: calibration with Swiss energy statistics, cross-check with energy consumption statistics in the industry and services sectors (survey of 12 000 companies)","Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":"Arts and entertainment, Education, Food sales, Food service, Healthcare, Lodging, Multipurpose building, Office, Retail space, Warehouse","Vehicle_type_covered":null},{"Link_ID":"smo05","Additional_observations":"Only electricity so far. Other energies will be included in next modelling exercises.","Contact":null,"Country":"Switzerland","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Lack of input data\r\nQuality control issues with input data","Methodology":"Modelling","Organisation":"<a href=\"https://www.tep-energy.ch/en/home/\">TEP Energy in Switzerland</a>","Sector":"Services","Sectors_covered":null,"Sources":null,"Title":"TEP Energy in Switzerland (Switzerland) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":"Every year","Key_model_inputs":"Space heating system\r\nWater heating system\r\nHVAC system cost\r\nHVAC life cycle\r\nHVAC energy rating\r\nBuilding occupancy\r\nOffice equipment power consumption\r\nTechnology cost\r\nTechnology life cycle\r\nTechnology energy efficiency\r\nEnergy prices\r\nMacroeconomic data\r\nNumber of employees, other energy service diffusion parameters","Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"Tapping the amount of available energy-saving potential is chosen according to the cost-effectiveness of respective technologies or practices. Hidden costs and barriers are approximated as well.","Name":"Forecasting Energy Consumption Analysis and Simulation Tool","Purpose":"To estimate building energy consumption\r\nTo calculate regional energy consumption profile of buildings by service type\r\nTo estimate energy consumption of office equipment","Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":"Total energy consumption per building\r\nHeating energy consumption\r\nCooling energy consumption\r\nWater heating energy consumption\r\nEnergy consumption of office equipment\r\nLighting energy consumption\r\nAuxiliary motors\r\nOnly electricity is modelled so far","Model_type":"Bottom-up statistical model, bottom-up engineering model \r\nCustom-built model","Results_validated":"Yes: Electricity consumption of EUROSTAT from 1990 to 2010. Iteration process adjusts model parameters to fit both the level and the slope of the electricity consumption by country.","Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":"Office, Retail space, Healthcare, Education, Warehouse, Food sales, Food service, Lodging, Arts and entertainment, Multipurpose building","Vehicle_type_covered":null},{"Link_ID":"smo10","Additional_observations":null,"Contact":"<a href=\"mailto:Energyefficiency.stats@decc.gsi.gov.uk\">Energyefficiency.stats@decc.gsi.gov.uk</a>","Country":"United Kingdom","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Quality control issues with the model\r\nLack of input data\r\nQuality control issues with input data","Methodology":"Modelling","Organisation":"<a href=\"https://www.gov.uk/government/organisations/department-of-energy-climate-change\">Department of Energy and Climate Change</a>","Sector":"Services","Sectors_covered":null,"Sources":null,"Title":"Department of Energy and Climate Change (United Kingdom) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":"Every year","Key_model_inputs":"Space heating system\r\nSpace cooling system\r\nWater heating system\r\nHVAC system cost\r\nFloor area","Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"Non-Domestic Energy Efficiency Model","Purpose":"To estimate building energy consumption\r\nTo estimate energy consumption of office equipment","Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":"Total energy consumption per building\r\nHeating energy consumption\r\nCooling energy consumption\r\nWater heating energy consumption\r\nLighting energy consumption\r\nAuxiliary motors","Model_type":"� Bottom-up statistical model \r\n� Custom-built model","Results_validated":"Yes: against total energy consumption reported for energy balance purposes","Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":"Arts and entertainment, Education, Food sales, Food service, Healthcare, Lodging, Multipurpose building, Office, Retail space, Warehouse","Vehicle_type_covered":null},{"Link_ID":"smo11","Additional_observations":null,"Contact":null,"Country":"United States","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Boundary issues\r\nChoice of assumptions","Methodology":"Modelling","Organisation":"<a href=\"https://www.eia.gov/\">Energy Information Administration</a>","Sector":"Services","Sectors_covered":null,"Sources":null,"Title":"Energy Information Administration (United States) ","Documentation_type":"Project website","Available_documentation":"Project website: <a href=\"https://www.eia.gov/consumption/commercial/index.php\" title=\"CBECS\">CBECS</a>","Collection_methods":null,"Frequency":"Every four years","Key_model_inputs":"Space heating system\r\nSpace cooling system\r\nWater heating system\r\nBuilding thermal envelope\r\nBuilding occupancy\r\nOffice equipment power consumption\r\nEnergy prices","Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"Commercial Building Energy Consumption Survey End-Use Model","Purpose":"To estimate energy consumption of office equipment","Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":"Total energy consumption per building\r\nHeating energy consumption\r\nCooling energy consumption\r\nWater heating energy consumption\r\nEnergy consumption of office equipment\r\nLighting energy consumption","Model_type":"� Bottom-up statistical model \r\n� Bottom-up engineering model \r\n� Custom-built model","Results_validated":"No","Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":"Arts and entertainment, Education, Food sales, Food service, Healthcare, Lodging, Multipurpose building, Office, Retail space, Warehouse","Vehicle_type_covered":null},{"Link_ID":"ssu01","Additional_observations":null,"Contact":null,"Country":"Austria","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Low response rate\r\nResponse quality","Methodology":"Surveying","Organisation":"<a href=\"http://www.statistik.at/web_en/statistics/index.html\">Statistics Austria</a>","Sector":"Services","Sectors_covered":null,"Sources":null,"Title":"Statistics Austria (Austria) ","Documentation_type":"Methodology, Questionnaire","Available_documentation":"<a href=\"https://iea.blob.core.windows.net/assets/165cf162-f998-4674-89e6-d144d4fce8ad/Questionnaire_serviceenergyconsumption.pdf\" title=\"\">Survey of energy consumption in the service sector </a>","Collection_methods":"Paper form sent by mail\r\nInternet based","Frequency":"Every five years","Key_model_inputs":null,"Mandatory":"0","Sample_sources":"Business register","Survey_respondents":"Enterprises","Who_took_measurements":null,"Elements_collected":"Main building function\r\nEnergy used\r\nThe survey does not focus on buildings but on enterprises and establishments. Floor area and energy consumption by fuel type are collected for the enterprise and not for a single building. Space heating system and age information were collected.","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"Small and simple questionnaire (only one page) to increase the response rate, including both quantities and monetary values spent on energy as a reference check. The online version of the questionnaire includes checks. Rules about minimum content requirements are set and communicated with respondents that inconsistent and incomplete questionnaires cannot be submitted.","Name":"Energy Consumption of the Service Sector","Purpose":"To track energy consumption over time\r\nTo collect energy expenditure","Recommendations":"Larger sample, face-to-face interview","Sample_design":"Stratified random sampling approach","Sample_Population_size":"3 000 / 88 630","Time_to_complete":"Not available","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"None","Population_description":"Establishments in NACE categories E (of which only 41), G, H, I, J, K and O (of which only 92 and 93) with more than three employees. The survey was sent out to establishments at NACE 2-digit level.","Response_rate":"39%","End_uses_covered":"Space cooling\r\nSpace heating\r\nWater heating\r\nTransport","Service_categories_covered":"Arts and entertainment, Education, Food sales, Food service, Healthcare, Lodging, Multipurpose building, Retail space, Warehouse, Office","Vehicle_type_covered":null},{"Link_ID":"ssu02","Additional_observations":null,"Contact":null,"Country":"Belgium","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Low response rate\r\nResponse quality","Methodology":"Surveying","Organisation":"<a href=\"https://vito.be/en\">Vision on Technology</a>","Sector":"Services","Sectors_covered":null,"Sources":null,"Title":"Vision on Technology (Belgium) ","Documentation_type":"Questionnaire","Available_documentation":"<a href=\"https://iea.blob.core.windows.net/assets/04535e76-2762-4315-bfe6-12f54445f7be/Belgium_services_survey_questionnaire.pdf\" title=\"Belgium services survey questionnaire\">Belgium services survey questionnaire</a>","Collection_methods":"Paper form sent by mail\r\nInternet based","Frequency":"Every year","Key_model_inputs":null,"Mandatory":"0","Sample_sources":"List from energy supplier, list of addresses, address list of sectors-based organisations (e.g. hospitals, schools, etc.)","Survey_respondents":"Mostly CEOs of companies, directors of schools, energy managers of hospitals, etc.","Who_took_measurements":null,"Elements_collected":"Main building function\r\nBuilding floor area\r\nNumber of occupants/employees\r\nEnergy use per type of energy carrier","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"Voluntary Energy Survey for the Flemish Energy Balance","Purpose":"To track energy consumption over time\r\nTo set energy efficiency benchmarks\r\nTo complement another data collection initiative","Recommendations":null,"Sample_design":"A repeating panel of respondents that had been interviewed previously for other surveys","Sample_Population_size":"Not available","Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"None","Population_description":"All sectors according to the NACE codes used by the IEA","Response_rate":null,"End_uses_covered":null,"Service_categories_covered":"Office, Retail space, Healthcare, Education, Warehouse, Food sales, Food service, Lodging, Arts and entertainment, Multipurpose building","Vehicle_type_covered":null},{"Link_ID":"ssu03","Additional_observations":null,"Contact":null,"Country":"Bosnia and Herzegovina","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Response quality","Methodology":"Surveying","Organisation":"<a href=\"https://ers.ba/home-en-template/\">Power Utility of the Republic of Srpska</a>","Sector":"Services","Sectors_covered":null,"Sources":null,"Title":"Power Utility of the Republic of Srpska (Bosnia and Herzegovina) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":"Paper form sent by mail","Frequency":"Every three years","Key_model_inputs":null,"Mandatory":"1","Sample_sources":"List from energy supplier, transmission company","Survey_respondents":"Utility companies","Who_took_measurements":null,"Elements_collected":"Main building function\r\nEnergy consumption from energy supplier","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":null,"Purpose":"To collect information on energy consumption\r\nTo collect energy expenditure\r\nTo complement another data collection initiative","Recommendations":"Bigger sample size","Sample_design":"Stratified random sampling approach","Sample_Population_size":"Not available","Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"None","Population_description":null,"Response_rate":"100%","End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"ssu06","Additional_observations":null,"Contact":null,"Country":"Bosnia and Herzegovina","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Low response rate\r\nIncomplete survey\r\nInconsistent responses\r\nResponse quality\r\nBias from the interviewer","Methodology":"Surveying","Organisation":"<a href=\"https://ers.ba/home-en-template/\">Power Utility of the Republic of Srpska</a>","Sector":"Services","Sectors_covered":null,"Sources":null,"Title":"Energy Institute Hrvoje Pozar in Croatia (Bosnia and Herzegovina) ","Documentation_type":"Questionnaire, Report","Available_documentation":"<a href=\"https://iea.blob.core.windows.net/assets/02b06c46-0e05-446c-aaf8-689a5c8e60fd/BiH_Energy_sector_study.pdf\" title=\"\">Energy Sector Study BiH</a>","Collection_methods":"In-house visit","Frequency":"Only conducted once","Key_model_inputs":null,"Mandatory":"1","Sample_sources":"List from tax agency, list from energy supplier, list of addresses","Survey_respondents":"Utility companies","Who_took_measurements":null,"Elements_collected":"Main building function\r\nBuilding floor area\r\nBuilding age\r\nNumber of occupants/employees\r\nOccupancy time patterns\r\nEnergy bills from building operator\r\nDiffusion of office equipment\r\nNumber of lights\r\nDiffusion of lighting by type\r\nType of renovations\r\nEnergy used","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"Survey on energy consumption in Bosnia and Herzegovina","Purpose":"To track diffusion of equipment\r\nTo collect energy consumption by equipment\r\nTo track energy consumption over time","Recommendations":null,"Sample_design":"Stratified random sampling approach","Sample_Population_size":"1 500 / 15 000","Time_to_complete":"20 minutes","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"None","Population_description":"Separate surveys in tourism, health, education, administration, trade, others","Response_rate":"30%","End_uses_covered":"Space cooling\r\nSpace heating\r\nWater heating\r\nOffice equipment\r\nAuxiliary motors\r\nLighting","Service_categories_covered":"Arts and entertainment, Office, Retail space, Warehouse, Multipurpose building, Healthcare, Food service, Food sales, Education","Vehicle_type_covered":null},{"Link_ID":"ssu04","Additional_observations":null,"Contact":null,"Country":"Canada","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Low response rate\r\nIncomplete survey\r\nInconsistent responses\r\nResponse quality","Methodology":"Surveying","Organisation":"<a href=\"https://www.nrcan.gc.ca/\">Natural Resources Canada</a>","Sector":"Services","Sectors_covered":null,"Sources":null,"Title":"Natural Resources Canada (Canada) ","Documentation_type":"Questionnaire, Report","Available_documentation":"<a href=\"https://iea.blob.core.windows.net/assets/5df973db-dcb9-4ca1-bd08-65ecafe98b22/Canada_Services_SCIEU_E.pdf\" title=\"Survey questionnaire SCIEU_E\">Survey questionnaire SCIEU_E</a>\r\n<a href=\"https://iea.blob.core.windows.net/assets/5df973db-dcb9-4ca1-bd08-65ecafe98b22/Canada_Services_SCIEU_F.pdf\" title=\"Survey questionnaire SCIEU_F\">Survey questionnaire SCIEU_F</a>\r\n<a href=\"https://oee.nrcan.gc.ca/publications/statistics/scieu09/scieu2009buildings.pdf\" title=\"Survey report\">Survey report</a>","Collection_methods":"Paper form sent by mail","Frequency":"Every year","Key_model_inputs":null,"Mandatory":"0","Sample_sources":"Building registrations","Survey_respondents":"Building occupants","Who_took_measurements":null,"Elements_collected":"Main building function\r\nBuilding age\r\nDiffusion of office equipment\r\nType of renovations","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"Commercial and Institutional Consumption of Energy Survey","Purpose":"To track energy consumption over time\r\nTo set energy efficiency benchmarks\r\nTo complement another data collection initiative","Recommendations":"Increased sample size and working on a combined sample of establishments and buildings. This approach is currently being tested.","Sample_design":"Stratified random sampling approach","Sample_Population_size":"9 500 / 469 000","Time_to_complete":"60 minutes","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"None","Population_description":"Establishment, commercial and institutional sector","Response_rate":"45%","End_uses_covered":"Just gathered total energy use. No breakdowns.","Service_categories_covered":"Office, Retail space, Warehouse, Lodging, Healthcare, Food service, Education, Arts and entertainment","Vehicle_type_covered":null},{"Link_ID":"ssu22","Additional_observations":null,"Contact":null,"Country":"Costa Rica","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Response quality;\r\nSurvey conducted under contract and without full control;\r\nIncomplete survey;\r\nInsufficient commercial coverage due to low response rate;\r\nResource availability at the reporting companies.","Methodology":"Surveying","Organisation":"Energy Planning Secretariat","Sector":"Services","Sectors_covered":null,"Sources":null,"Title":"Energy Planning Secretariat (Costa Rica) ","Documentation_type":"Project website, Report","Available_documentation":"<a href=\"https://sepse.go.cr/ciena/encuestas-sectoriales/\">Survey documentation</a>\r\n<a href=\"https://iea.blob.core.windows.net/assets/fcf6f3bc-f04c-4b05-9a24-a29f81bac4d8/EncuestaComercioyServicios2014.pdf\" title=\"\">Survey - Energy Consumption in Private and Commercial Sectors </a>","Collection_methods":"On site visit","Frequency":"No regular survey cycle ","Key_model_inputs":null,"Mandatory":"0","Sample_sources":"In situ survey","Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":"Main building function;\r\nNumber of occupants/employees;\r\nOccupancy time patterns;\r\nTotal energy consumption from building operator;\r\nEnergy use by type of end use;\r\nEnergy sources;\r\nEnergy efficiency measures implemented or willing to implement in their facility.","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"Multiple testing of the questionnaire;Systematic quality control procedures in all the different data processing stages.","Name":"Commercial and Services Sector Energy Consumption Survey","Purpose":"To characterize the energy consumption on the commercial and services sector;\r\nTo track energy consumption over time;\r\nTo collect energy expenditure;\r\nTo determine the groups and patterns of energy consumption on the commercial sector;\r\nTo determine the most common equipment and technology found in the Costa Rican commercial sector;\r\nTo determine the structure and total energy consumption according to source, end use and activity.","Recommendations":"Implementation of a fully automated statistical disclosure avoidance system to protect confidentiality; increasing the frequency of the survey, use of computer-assisted tools to record the answers directly to the database; increase sample size.","Sample_design":"Stratified random sampling approach","Sample_Population_size":"400 / 76 433","Time_to_complete":"70-160 minutes","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"None","Population_description":null,"Response_rate":"65%","End_uses_covered":"Water heating, steam and Heat process systems, lighting, space cooling, coking, auxiliary motors, refrigerators, freezers, televisions, computers, other uses.","Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"ssu05","Additional_observations":null,"Contact":null,"Country":"Croatia","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Low response rate","Methodology":"Surveying","Organisation":"<a href=\"https://www.dzs.hr/default_e.htm\">Croatian Bureau of Statistics</a>","Sector":"Services","Sectors_covered":null,"Sources":null,"Title":"Croatian Bureau of Statistics (Croatia) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":"Paper form sent by mail\r\nInternet based","Frequency":"Every five years","Key_model_inputs":null,"Mandatory":"0","Sample_sources":"Business register","Survey_respondents":"Enterprises","Who_took_measurements":null,"Elements_collected":"Floor area and energy consumption by fuel type\r\nHeated and cooled surfaces\r\nRenewable energy used\r\nThe purpose of final energy used\r\nThe heating system and the age of the heating system","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"The online version of the questionnaire including checks\r\nThe questionnaires are sent to the enterprises and to the operator of the building if some office space is leased","Name":"Statistical Reports","Purpose":"To track energy consumption over time\r\nTo collect all the necessary data to calculate EEI","Recommendations":"Face-to-face interview, but more expensive","Sample_design":"Stratified random sampling approach","Sample_Population_size":"6 000 / 196 000","Time_to_complete":"Not available","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"None","Population_description":"Establishments in NACE categories C33 only, and E, G, H, I, J, K, L, M, N, O, P, Q, R, S. The country does not survey on building level but on NACE 2-digit level.","Response_rate":"40%","End_uses_covered":"Space heating\r\nWater heating\r\nCooking\r\nSpace cooling\r\nNon-thermal electricity","Service_categories_covered":"Education and training, Trade, Tourism and hospitality, Public administration, Healthcare, Other","Vehicle_type_covered":null},{"Link_ID":"ssu07","Additional_observations":null,"Contact":null,"Country":"Czech Republic","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":null,"Methodology":"Surveying","Organisation":"<a href=\"https://www.mpo.cz/default_en.html\">Ministry of Industry and Trade (MIT)</a>","Sector":"Services","Sectors_covered":null,"Sources":null,"Title":"Ministry of Industry and Trade (Czech Republic) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":"Paper form sent by mail\r\nInternet based","Frequency":"Every year","Key_model_inputs":null,"Mandatory":"1","Sample_sources":"Business register","Survey_respondents":"Utility companies","Who_took_measurements":null,"Elements_collected":"Main building function\r\nEnergy consumption from energy supplier","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"Contact and build a long-term relationship with energy managers in companies","Name":"Statistical Reports","Purpose":"To track energy consumption over time","Recommendations":"Improve communication with respondents, better fund allocation","Sample_design":"Stratified random sampling approach","Sample_Population_size":"15 000 / 100 000","Time_to_complete":"80 minutes","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"A fine","Population_description":"According to the NACE organisations with more than 20 employers","Response_rate":"80%","End_uses_covered":"Low response rate\r\nIncomplete survey\r\nInconsistent responses\r\nResponse quality\r\nLack of resources","Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"ssu08","Additional_observations":null,"Contact":null,"Country":"Germany","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Inconsistent responses","Methodology":"Surveying","Organisation":"<a href=\"https://www.isi.fraunhofer.de/en.html\">Fraunhofer Institute for Systems and Innovation Research</a>","Sector":"Services","Sectors_covered":null,"Sources":null,"Title":"Fraunhofer Institute for Systems and Innovation Research (Germany) ","Documentation_type":"Results, Report","Available_documentation":"<a href=\"https://www.isi.fraunhofer.de/de/competence-center/energiepolitik-energiemaerkte/projekte/ghd_314889.html\" title=\"Results and reports\">Results and reports</a> - Fraunhofer\r\n<a href=\"https://www.bmwi.de/Redaktion/DE/Publikationen/Studien/sondererhebung-zur-nutzung-erneuerbarer-energien-im-gdh-sektor-2011-2013.html\" title=\"Results and reports\">Results and reports</a> - BMWi","Collection_methods":"Computer-assisted personal interview","Frequency":"Every two years","Key_model_inputs":null,"Mandatory":"0","Sample_sources":"List of addresses","Survey_respondents":"Person most knowledgeable with facility/enterprise energy consumption","Who_took_measurements":null,"Elements_collected":"Main building function\r\nBuilding floor area\r\nBuilding age\r\nNumber of occupants/employees\r\nEnergy bills from building operator\r\nDiffusion of office equipment\r\nNumber of lights\r\nDiffusion of lighting by type\r\nEnergy used\r\nQuestionnaire on energy management issues","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"Personal check and energy audit in 100 workplaces\r\nDevelopment of a building typology based on the survey results","Name":"Energieverbrauch des Sektors Gewerbe, Handel, Dienstleistungen in Deutschland (Energy Consumption of the Tertiary Sector in Germany)","Purpose":"To collect physical building characteristics\r\nTo collect energy consumption by equipment\r\nTo track energy consumption over time\r\nTo collect energy expenditure","Recommendations":"A personal check and energy audit by qualified engineers in 100 of the 2 100 workplaces are planned in addition to the 2008 survey","Sample_design":"Stratified random sampling approach","Sample_Population_size":"2 100 / 70 000","Time_to_complete":"120 minutes","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"Non-cash incentives, short report on the survey results for the respective sub-sector and benchmark","Population_description":"The main focus of the survey was on sub-sectors (NACE classification), not on building types. Other sub-sectors: agriculture, construction industry, airports. Choice of certain number of companies (workplaces) within the tertiary sector.","Response_rate":"100%","End_uses_covered":"Space cooling\r\nSpace heating\r\nWater heating\r\nOffice equipment\r\nAuxiliary motors\r\nLighting\r\nProcess heat\r\nProcess cold","Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"ssu09","Additional_observations":null,"Contact":null,"Country":"Hong Kong, China","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Quality of the interviewing staff\r\nRecruiting, training and retaining project staff","Methodology":"Surveying","Organisation":"<a href=\"http://www.emsd.gov.hk/emsd/\">Electrical and Mechanical Services Department</a>","Sector":"Services","Sectors_covered":null,"Sources":null,"Title":"Electrical and Mechanical Services Department (Hong Kong, China) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":"Every three years","Key_model_inputs":null,"Mandatory":"0","Sample_sources":"National census","Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":"Main building function\r\nBuilding floor area\r\nBuilding age\r\nEnergy bills from building operator\r\nDiffusion of office equipment\r\nNumber of lights\r\nDiffusion of lighting by type","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"Energy consumption survey on commercial sector","Purpose":"To collect physical building characteristics\r\nTo track diffusion of equipment\r\nTo collect energy consumption by equipment\r\nTo track energy consumption over time\r\nTo understand building occupant characteristics\r\nTo collect energy expenditure","Recommendations":null,"Sample_design":"Stratified random sampling approach","Sample_Population_size":"Not available","Time_to_complete":"60 minutes","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"None","Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":"Office, Retail space, Healthcare, Lodging, Education, Warehouse","Vehicle_type_covered":null},{"Link_ID":"ssu19","Additional_observations":null,"Contact":null,"Country":"Japan","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Inconsistency (larger statistical difference)","Methodology":"Surveying","Organisation":"<a href=\"https://www.meti.go.jp/english/index.html\">Ministry of Economy, Trade and Industry</a>","Sector":"Services","Sectors_covered":null,"Sources":null,"Title":"Ministry of Economy, Trade and Industry (Japan) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":"Paper version (sent by mail)","Frequency":"Every year","Key_model_inputs":null,"Mandatory":"0","Sample_sources":"Establishment (excl. establishments surveyed by �The Current Survey of Energy Consumption�)","Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":"(1) Location of establishment, (2) annual energy consumption by energy type, (3) Activity data which are closely relative to energy consumption (e.g. amount of employees, floor area, amount of sales, etc.)","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"Energy Consumption Census","Purpose":"To track energy consumption of industry and service sectors�","Recommendations":null,"Sample_design":"Census for establishments above a certain employee size and random sampling for other establishments","Sample_Population_size":"around 180 thousand establishments","Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"None","Population_description":null,"Response_rate":"around 70%","End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"ssu10","Additional_observations":null,"Contact":null,"Country":"Korea","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Low response rate\r\nResponse quality","Methodology":"Surveying","Organisation":"<a href=\"https://dco.energy.or.kr/renew_eng/main/main.aspx\">Korea Energy Agency</a>","Sector":"Services","Sectors_covered":null,"Sources":null,"Title":"Korea Energy Management Corporation (Korea) ","Documentation_type":"Questionnaire","Available_documentation":"<a href=\"https://iea.blob.core.windows.net/assets/654bfd67-44f0-43be-9784-57df856bff64/Korea_services_survey_questionnaire.pdf\" title=\"Korea services survey questionnaire\">Korea services survey questionnaire</a>","Collection_methods":"In-house visit","Frequency":"Every three years","Key_model_inputs":null,"Mandatory":"0","Sample_sources":"Census of establishments","Survey_respondents":"Building operators","Who_took_measurements":null,"Elements_collected":"Main building function\r\nBuilding floor area\r\nBuilding age\r\nNumber of occupants/employees\r\nOccupancy time patterns\r\nEnergy bills from building operator\r\nNumber of lights\r\nDiffusion of lighting by type\r\nType of renovations","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"National Energy &amp; GHG Emissions Survey","Purpose":"To collect physical building characteristics\r\nTo track energy consumption over time","Recommendations":null,"Sample_design":"Stratified random sampling approach","Sample_Population_size":"55 925 / 2 611 985","Time_to_complete":"30 minutes","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"Non-cash incentives","Population_description":"All facilities in a given service sector as per classification index","Response_rate":"90%","End_uses_covered":"Space cooling\r\nSpace heating\r\nWater heating\r\nLighting","Service_categories_covered":"Retail space, Arts and entertainment, Education, Food sales, Food service, Healthcare, Lodging","Vehicle_type_covered":null},{"Link_ID":"ssu17","Additional_observations":null,"Contact":null,"Country":"Montenegro","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":null,"Methodology":"Surveying","Organisation":"<a href=\"http://monstat.org/eng/index.php\">Statistical Office of Montenegro (MONSTAT)</a>","Sector":"Services","Sectors_covered":null,"Sources":null,"Title":"Statistical Office of Montenegro (MONSTAT) (Montenegro) ","Documentation_type":"Methodology, Project website, Questionnaire","Available_documentation":"<a href=\"https://iea.blob.core.windows.net/assets/20d91419-7300-4ded-bf61-52b1a82fe539/Accommodationandfoodservicesector.pdf\" title=\"Questionnaire\">Montenegro - S/Su/17 - Accomodation_and_food_service_questionnaire (Language: English)</a>\r\n<a href=\"https://iea.blob.core.windows.net/assets/20d91419-7300-4ded-bf61-52b1a82fe539/PotrosnjaenergenataFINAL.pdf\" title=\"\">Montenegro - S/Su/17 - Services survey report (Language: Montenegrin Bosnian)</a>\r\n<a href=\"https://iea.blob.core.windows.net/assets/20d91419-7300-4ded-bf61-52b1a82fe539/EnergyConsumptioninServiceSectorinMontenegro2014.pdf\" title=\"Analysis of energy consumption in service sector in 2014\r\nComplex energy balance of Montenegro for 2014\">Montenegro S/Su/17 - Services survey report (Language: English)</a>\r\n<a href=\"https://iea.blob.core.windows.net/assets/20d91419-7300-4ded-bf61-52b1a82fe539/Methodologicalguidance.pdf\" title=\"Survey Methodological guideline\">Montenegro - S/Su/17 - Survey Methodological guideline (Language: English)</a>","Collection_methods":"Paper form sent by post and e-mail.","Frequency":"No regular survey cycle","Key_model_inputs":null,"Mandatory":"0","Sample_sources":"Statistical Business Register (SBR).\t","Survey_respondents":"Local units of enterprise, public and state administration and entrepreneurs","Who_took_measurements":null,"Elements_collected":"Data collection on supply, production, sale, stocks, and total consumption of energy products in agriculture, forestry, fishery and industry sector. � �\r\nData collection on characteristics of buildings, type of heating, type of cooling, the largest consumers of energy, production of hot water, cooking and total consumption of energy in trade, accommodation and food service, public administration, education, health and other services sector.","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"Energy consumption in industry, commercial and public service sector","Purpose":"Energy consumption in Montenegro in 2014.\r\nObtain the results of the consumption characteristics and the quantity consumption for some service sectors: trade, accommodation and food services, public administration, education, health and other services.\r\nCollect the data on: (i) type of business facilities; (ii) building material; (iii) type of heating; (iv) type of cooling; (v) type of lighting; (vi) type of hot water preparation; (vii) type cooking; (viii) total consumption of energy and energy generated products used for performing the activity.\r\nCollects the data on supply, production, sale and stocks of energy products in industry sector.","Recommendations":null,"Sample_design":"Stratified random sample.","Sample_Population_size":"1 765 / 39 912\t","Time_to_complete":"45 minutes","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"None\t","Population_description":null,"Response_rate":"83.90%","End_uses_covered":"Space cooling,\r\nspace heating,\r\nwater heating,\r\nlighting,���� \r\nclothes dryers,\r\ncharacteristics of windows.","Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"ssu20","Additional_observations":null,"Contact":null,"Country":"Morocco","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"� Update of the sampling base� Response quality","Methodology":"Surveying","Organisation":"<a href=\"https://www.mem.gov.ma/en/pages/index.aspx\">Ministry of Energy, Mines and Sustainable Development. Department of Energy</a>","Sector":"Services","Sectors_covered":null,"Sources":null,"Title":"Ministry of Energy, Mines and Sustainable Development. Department of Energy. (Morocco) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":"Questionnaire collected on site","Frequency":"No regular survey cycle","Key_model_inputs":null,"Mandatory":"0","Sample_sources":"The respondents are the tertiary sector in Morocco. The survey is face to face.","Survey_respondents":"Tertiary sector","Who_took_measurements":null,"Elements_collected":"Activity of the tertiary sector, surface of the tertiary building, tertiary energy consumption, energy uses, energy-related renovations,�renewable equipment.�","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"Survey of Tertiary Energy Consumption ","Purpose":"� To determine the energy consumption by tertiary activity � To collect tertiary appliances diffusion� To collect tertiary physical characteristics","Recommendations":"Increased sample size�","Sample_design":"Stratified random sampling approach","Sample_Population_size":"3","Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"None","Population_description":null,"Response_rate":null,"End_uses_covered":"Space cooling, space heating, water heating, lighting, cooking, refrigerators, freezers, televisions, computers, other uses","Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"ssu11","Additional_observations":null,"Contact":null,"Country":"New Zealand","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Highly resource-intensive\r\nBuilding profile is heterogeneous","Methodology":"Surveying","Organisation":"<a href=\"https://www.eeca.govt.nz/\">Energy Efficiency and Conservation Authority</a>","Sector":"Services","Sectors_covered":null,"Sources":null,"Title":"Energy Efficiency and Conservation Authority (New Zealand) ","Documentation_type":"Project website, Questionnaire, Report","Available_documentation":"<a href=\"https://www.branz.co.nz/environment-zero-carbon-research/bees/\" title=\"Building Energy End-Use Study (BEES)\">Building Energy End-Use Survey (BEES)</a>\r\n<a href=\"https://www.branz.co.nz/environment-zero-carbon-research/bees/data/aggregate-survey/\" title=\"BEES survey\">BEES survey</a>\r\n<a href=\"https://www.branz.co.nz/environment-zero-carbon-research/bees/publications-and-presentations/\" title=\"BEES reports\">BEES reports</a>","Collection_methods":"Paper form sent by mail\r\nTelephone interview\r\nIn-house visit\r\nData logging and metering of individual energy using services and equipment","Frequency":"A five-year project. Conducted once.","Key_model_inputs":null,"Mandatory":"0","Sample_sources":"Property Valuation Roll and NZ Building Code definition; an innovative approach based on the use of Internet search, coupled with the use of Google Earth and Street View","Survey_respondents":"Building operators, energy auditors","Who_took_measurements":null,"Elements_collected":"Main building function\r\nBuilding floor area\r\nBuilding age\r\nNumber of occupants/employees\r\nOccupancy time patterns\r\nEnergy bills from building operator\r\nWater use\r\nEnergy consumption from energy supplier\r\nDiffusion of office equipment\r\nNumber of lights\r\nDiffusion of lighting by type\r\nType of renovations","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"Besides survey and data logging, BEES will also employ simulation modelling. The research will provide a greater understanding of how, why, where and when energy is used in New Zealand's non-residential buildings. Through actual measurement and analysis of energy use in buildings, BEES will identify opportunities for increased operational energy and water efficiency.","Name":"Building Energy End-Use Study (BEES)","Purpose":"To collect physical building characteristics\r\nTo collect energy consumption by equipment\r\nTo collect energy expenditure\r\nTo understand building occupant characteristics\r\nTo set energy efficiency benchmarks\r\nTo complement another data collection initiative","Recommendations":"Increasing sample size","Sample_design":"Stratified random sampling approach; a stratified sampling design divided into 50 strata, mainly size, use and geographical groupings.","Sample_Population_size":"1 000 / 50 000","Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"Respondents have access to energy and water consumption benchmark information in commercial buildings","Population_description":"This study covers non-residential buildings such as those for office and retail use. Excluded are industrial and all ancillary and external structures, such as boiler houses or parking spaces.","Response_rate":null,"End_uses_covered":"Space cooling\r\nSpace heating\r\nWater heating\r\nOffice equipment\r\nAuxiliary motors\r\nLighting","Service_categories_covered":"Office, Retail space, Food sales, Food service, Lodging, Arts and entertainment, Multipurpose building","Vehicle_type_covered":null},{"Link_ID":"ssu21","Additional_observations":null,"Contact":null,"Country":"Poland","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Incomplete survey\r\nInconsistent responses\r\nResponse quality","Methodology":"Surveying","Organisation":"<a href=\"https://stat.gov.pl/en/\">Central Statistical Office of Poland (CSO)</a>","Sector":"Services","Sectors_covered":null,"Sources":null,"Title":"Central Statistical Office of Poland (CSO) (Poland) ","Documentation_type":"Project website","Available_documentation":"<a href=\"https://stat.gov.pl/statystyka-regionalna/statystyka-dla-polityki-spojnosci/statystyka-dla-polityki-spojnosci-2013-2015/badania/inne-prace-badawcze/\">https://stat.gov.pl/statystyka-regionalna/statystyka-dla-polityki-spojnosci/statystyka-dla-polityki-spojnosci-2013-2015/badania/inne-prace-badawcze/</a>","Collection_methods":"Electronic survey and exceptional paper survey�","Frequency":"Conducted once","Key_model_inputs":null,"Mandatory":"0","Sample_sources":"All public administration units (government and local government) included in Polish Classification of Activities (PKD 2007) in sectors: public administration and national defence; obligatory social security.","Survey_respondents":"public administration units in Poland","Who_took_measurements":"employees of statistical offices","Elements_collected":"Unit type, unit floor area, building age, building function, building floor area, number of employees, main appliances, number of light fixtures, types of lighting, energy-related renovations,�renewable equipment, energy consumption","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"Questionnaire on the energy efficiency of public administration buildings","Purpose":"To collect information on energy consumption\r\nTo measure diffusion and energy consumption from office equipment","Recommendations":null,"Sample_design":"Public administration units ","Sample_Population_size":"6083 public administration units","Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"None","Population_description":null,"Response_rate":"81% with correct and complete data","End_uses_covered":"Space cooling, space heating, water heating, lighting, refrigerators, freezers, computers, other small appliances�","Service_categories_covered":"Public administration","Vehicle_type_covered":null},{"Link_ID":"ssu12","Additional_observations":null,"Contact":"<a href=\"mailto:ciudadano@idae.es\">ciudadano@idae.es</a>","Country":"Spain","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Low response rate\r\nIncomplete survey\r\nInconsistent responses\r\nResponse quality","Methodology":"Surveying","Organisation":"<a href=\"https://www.idae.es/\"> IDAE - Institute for Energy Diversification and Conservation</a>","Sector":"Services","Sectors_covered":null,"Sources":null,"Title":"IDAE - Institute for Energy Diversification and Conservation (Spain) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":"Paper form sent by mail","Frequency":"Every year","Key_model_inputs":null,"Mandatory":"0","Sample_sources":"National census; in the case of surveys in the hotel sector, listing of hotels and hotel associations facilitated by ITH.","Survey_respondents":"Hospitals, primary and secondary schools and universities, larger retail stores, and hotels","Who_took_measurements":null,"Elements_collected":"Main building function\r\nBuilding floor area\r\nNumber of occupants/employees\r\nEnergy bills from building operator\r\nNumber of hospital beds\r\nDiffusion of office equipment\r\nNumber of lights\r\nEnergy used\r\nCombined production of heat and power.","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"Energy Sectoral Follow-Up Surveys","Purpose":"To track energy consumption over time\r\nTo collect energy expenditure\r\nTo complement another data collection initiative","Recommendations":"Having clear definitions and questions could reduce the respondents� burden and could help respondents provide more appropriate answers","Sample_design":"All hospitals were contacted with a questionnaire. For hotels, an initial study under development promoted by Hotel Technological Institute (ITH) focused on representative hotels sector of two of the main climatic areas in Spain (Mediterranean and Continental areas). Through the collaboration between IDAE and ITH, the scope of this study will be enlarged, covering an additional climatic area (Atlantic area) as well.","Sample_Population_size":"800 Hospitals, 18 million m2 of large retail stores","Time_to_complete":"20 minutes","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"None","Population_description":null,"Response_rate":"20%","End_uses_covered":"Total electricity and heat consumptions","Service_categories_covered":"Healthcare, Education, Lodging, Food service, Retail space","Vehicle_type_covered":null},{"Link_ID":"ssu13","Additional_observations":null,"Contact":null,"Country":"Sweden","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Low response rate\r\nInconsistent responses\r\nRecruiting, training and retaining project staff","Methodology":"Surveying","Organisation":"<a href=\"http://www.energimyndigheten.se/en/\">Swedish Energy Agency</a>","Sector":"Services","Sectors_covered":null,"Sources":null,"Title":"Swedish Energy Agency (Sweden) ","Documentation_type":"Results, Questionnaire","Available_documentation":"<a href=\"https://iea.blob.core.windows.net/assets/1d823940-42b3-4563-8a83-dbb6958ca134/Sweden_services_survey_questionnaire.pdf\" title=\"Sweden services survey questionnaire\">Sweden services survey questionnaire</a>\r\n<a href=\"https://iea.blob.core.windows.net/assets/1d823940-42b3-4563-8a83-dbb6958ca134/Final_report_endusemetering.pdf\" title=\"\">End-use metering campaign in households in Sweden</a>","Collection_methods":"Paper form sent by mail\r\nInternet based","Frequency":"Every year","Key_model_inputs":null,"Mandatory":"1","Sample_sources":"List from tax agency, list of addresses, registry of business","Survey_respondents":"Survey sent to building owners, who are responsible for distributing the survey to the appropriate person for answering the survey","Who_took_measurements":null,"Elements_collected":"Main building function\r\nBuilding floor area\r\nBuilding age\r\nType of renovations\r\nEnergy used\r\nTotal electricity use for buildings, normally excluding electricity for office equipment since companies pay for their own electricity","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"Energy Statistics for Non-Residential Premises","Purpose":"To collect physical building characteristics\r\nTo track energy consumption over time\r\nTo set energy efficiency benchmarks","Recommendations":null,"Sample_design":"Stratified random sampling approach","Sample_Population_size":"8 500 / 123 000","Time_to_complete":"60 minutes","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"None","Population_description":"All buildings in the services sector with heated floor area exceeding 200 m2 and being heated for more than 90 days per year.","Response_rate":"65%","End_uses_covered":"Space cooling\r\nSpace heating\r\nWater heating","Service_categories_covered":"Office, Retail space, Healthcare, Education, Warehouse, Food sales, Food service, Lodging, Arts and entertainment, Multipurpose building, Churches, Sports centres","Vehicle_type_covered":null},{"Link_ID":"ssu14","Additional_observations":null,"Contact":null,"Country":"Sweden","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Low response rate\r\nIncomplete survey\r\nInconsistent responses\r\nQuality of the interviewing staff\r\nRecruiting, training and retaining project staff","Methodology":"Surveying","Organisation":"<a href=\"http://www.energimyndigheten.se/en/\">Swedish Energy Agency</a>","Sector":"Services","Sectors_covered":null,"Sources":null,"Title":"Swedish Energy Agency (Sweden) ","Documentation_type":"Project website","Available_documentation":"<a href=\"http://www.energimyndigheten.se/en/news/2012/reduced-energy-use-for-multi-dwelling-buildings-and-non-residential-premises-2011/\">Reduced energy use for multi-dwelling buildings and non-residential premises</a>","Collection_methods":"Paper form sent by mail\r\nInternet based","Frequency":"Every year","Key_model_inputs":null,"Mandatory":"1","Sample_sources":"List from tax agency, list of addresses, registry of businesses","Survey_respondents":"Building operators � survey is sent to building owners who are responsible for ensuring that the appropriate person responds to the survey","Who_took_measurements":null,"Elements_collected":"Building floor area\r\nBuilding age\r\nType of renovations\r\nEnergy consumption","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"Energy Statistics for Multi-Dwelling Buildings","Purpose":"To collect physical building characteristics\r\nTo track energy consumption over time\r\nTo set energy efficiency benchmarks","Recommendations":null,"Sample_design":"Stratified random sampling approach","Sample_Population_size":"7 000 / 153 000","Time_to_complete":"60 minutes","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"None","Population_description":"Multi-dwelling buildings with a minimum of three apartments","Response_rate":"70%","End_uses_covered":"Space cooling\r\nSpace heating\r\nWater heating","Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"ssu15","Additional_observations":null,"Contact":null,"Country":"Ukraine","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Response quality","Methodology":"Surveying","Organisation":"<a href=\"http://www.ukrstat.gov.ua/\">State Statistics Committee of Ukraine</a>","Sector":"Services","Sectors_covered":null,"Sources":null,"Title":"State Statistics Committee of Ukraine (Ukraine) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":"Paper form sent by mail\r\nInternet based","Frequency":"Every year","Key_model_inputs":null,"Mandatory":"1","Sample_sources":"National census","Survey_respondents":"Building operators","Who_took_measurements":null,"Elements_collected":"Main building function\r\nEnergy used","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"Consumption of Fuel, Heat Power and Energy; Stocks and Use of Energy Materials and Oil-Processing Products","Purpose":"To track energy consumption over time\r\nTo collect energy expenditure","Recommendations":"A need to establish buildings register","Sample_design":"Census","Sample_Population_size":"120 000 / 120 000","Time_to_complete":"180 minutes","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"A fine","Population_description":null,"Response_rate":"100%","End_uses_covered":"Water heating","Service_categories_covered":"Office","Vehicle_type_covered":null},{"Link_ID":"ssu18","Additional_observations":null,"Contact":null,"Country":"United Kingdom","Data_collected":"data covers England &amp; Wales only�\r\n10 sectors including: Retail, Offices, Industrial, Storage, Hospitality, Education &amp; HealthSubsectors covered: Headline results broken down to 38 sub-sectors","Data_collection_purpose":null,"Main_challenges":"Building a suitable population dataset covering all the sub-sectors��Response rates��Balance between asking enough information and respondents knowing the answers��Verification of modelling��Scope extensive with over 50 questionnaires and models used to tailor the survey for the different sub-sectors.","Methodology":"Surveying","Organisation":"<a href=\"https://www.gov.uk/government/organisations/department-for-business-energy-and-industrial-strategy\">Department for Business, Energy &amp; Industrial Strategy (BEIS)</a>","Sector":"Services","Sectors_covered":null,"Sources":null,"Title":"Department for Business, Energy &amp; Industrial Strategy (BEIS) (United Kingdom) ","Documentation_type":"Report, Methodology, Results","Available_documentation":"Reports: <a href=\"https://www.gov.uk/government/publications/building-energy-efficiency-survey-bees\">Overarching report, 10 sector reports, Technical Annex</a>","Collection_methods":"Primarily telephone survey. Alternative methods used in specific�subsectors�","Frequency":"Survey: To be determined, possibly every 5 years.\r\nModelling: Statistics reported annually.","Key_model_inputs":"BEES telephone survey","Mandatory":"0","Sample_sources":"Range of national building level datasets including:\r\n�\tValuation Office Agency\t - Non Domestic Ratings List\r\n�\tDisplay Energy Certificates (public sector)\r\n�\tHealth and Education admin data records\r\n�\tExperian PH","Survey_respondents":"Building level contacts responsible for energy management ","Who_took_measurements":null,"Elements_collected":"Confirmation of floor area, hours of use, main energy uses, building premises &amp; equipment characteristics.�","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"While a telephone survey is limited in the depth of information very hard to get engagement to do site surveys.","Name":"Building Energy Efficiency Survey (BEES)","Purpose":"Survey used to model energy consumption in non-domestic buildings by end use and quantified opportunities for energy savings","Recommendations":"The BEES survey required significant investment over 2+ years but has given very helpful insights of how energy is used in buildings.","Sample_design":"Quota sampling (with a random element)\t","Sample_Population_size":"3,690 / 1.5m (Note survey population covers around 90% of non-domestic floor area)","Time_to_complete":"Telephone survey � average length 25 mins. In addition 214 site surveys were done lasting around 1 day.","Key_model_outputs":"Energy consumption by end use, site level energy saving potential (cost, energy &amp; bill saving)","Model_type":"Energy demand model &amp; Energy savings model","Results_validated":"Site level meter data used to verify the energy modelling. UK estimates are scaled to UK National Statistics for consumption.","Incentive":"Energy report to site survey participants","Population_description":null,"Response_rate":"31% of those successfully contacted.","End_uses_covered":"23 end uses modelling including, heating, hot water, cooling, lighting, catering, small power etc.","Service_categories_covered":"Arts and entertainment, Education, Food sales, Healthcare, Food service, Office, Other, Retail space, Warehouse","Vehicle_type_covered":null},{"Link_ID":"ssu16","Additional_observations":null,"Contact":null,"Country":"United States","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Inconsistent responses\r\nResponse quality\r\nQuality of the interviewing staff","Methodology":"Surveying","Organisation":"<a href=\"https://www.eia.gov/\">Energy Information Administration</a>","Sector":"Services","Sectors_covered":null,"Sources":null,"Title":"Energy Information Administration (United States) ","Documentation_type":"Methodology, Results, Questionnaire","Available_documentation":"Project website: <a href=\"https://www.eia.gov/consumption/commercial/\" title=\"Commercial Buildings Energy Consumption Survey (CBECS)\">Commercial Buildings Energy Consumption Survey (CBECS)</a>\r\nQuestionnaire: <a href=\"https://www.eia.gov/survey/#eia-871\" title=\"Survey forms\">Survey forms</a>\r\nResults: <a href=\"https://www.eia.gov/consumption/commercial/data/2003/\" title=\"CBECS data\">CBECS data</a>\r\n<a href=\"https://www.eia.gov/consumption/commercial/data/2012/index.php?view=methodology\" title=\"CBECS methodology\">CBECS methodology</a>\r\n<a href=\"https://www.eia.gov/consumption/commercial/survey-background-technical-information.php\" title=\"CBECS background and technical information\">CBECS background and technical information</a>\r\n","Collection_methods":"Paper form sent by mail\r\nComputer-assisted personal interview\r\nTelephone interview","Frequency":"Every four years","Key_model_inputs":null,"Mandatory":"0","Sample_sources":"List of addresses","Survey_respondents":"Building operators, utility companies","Who_took_measurements":null,"Elements_collected":"Main building function\r\nBuilding floor area\r\nBuilding age\r\nNumber of occupants/employees\r\nEnergy bills from building operator\r\nEnergy consumption from energy supplier\r\nDiffusion of office equipment\r\nDiffusion of lighting by type\r\nType of renovations\r\nEnergy used","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"Commercial Buildings Energy Consumption Survey","Purpose":"To collect physical building characteristics\r\nTo track diffusion of equipment\r\nTo track energy consumption over time\r\nTo understand building occupant characteristics\r\nTo collect energy expenditure","Recommendations":null,"Sample_design":"Area-probability sample survey","Sample_Population_size":"5 000 / 4 900 000","Time_to_complete":"45 minutes","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"None","Population_description":"Buildings over 1 000 square feet, excluding agricultural and residential and industrial","Response_rate":"75%","End_uses_covered":"Space cooling\r\nSpace heating\r\nWater heating\r\nOffice equipment\r\nLighting\r\nCooking","Service_categories_covered":"Arts and entertainment, Education, Food sales, Food service, Healthcare, Lodging, Multipurpose building, Office, Retail space, Warehouse","Vehicle_type_covered":null},{"Link_ID":"tad01","Additional_observations":"A wide variety of administrative sources are likely to remain important for the estimation of road transport use in Australia. This is because the cost and practical issues associated with the fact that directly surveying road users is prohibited.","Contact":"<a href=\"mailto:energy.statistics@industry.gov.au\">energy.statistics@industry.gov.au</a>","Country":"Australia","Data_collected":"Petroleum sales data, company-level energy use, activity-based transport model energy consumption estimates, fuel consumption, distance travelled estimates","Data_collection_purpose":"To develop a broad range of transport energy consumption estimates, which include bunker fuel use, road transport energy use for all fuel types, rail transport energy use for all fuel types, air transport and sea transport\r\nTo develop transport activity estimates","Main_challenges":"Time-consuming to gather data\r\nTook a long time to establish a relationship with the organisation\r\nNeeded to establish a Memorandum of Understanding with a given organisation\r\nDefinition issues within a sector\r\nData were incomplete","Methodology":"Administrative sources","Organisation":"<a href=\"http://www.environment.gov.au/\">Department of Agriculture, Water and the Environment</a>","Sector":"Transport","Sectors_covered":null,"Sources":"Government statistics office\r\nExternal survey <a href=\"https://www.energy.gov.au/government-priorities/energy-data/australian-petroleum-statistics\" title=\"data of petroleum sales\">data of petroleum sales</a> from the Australian Government Department of Resources, Energy and Tourism\r\nExternal data from the <a href=\"http://www.cleanenergyregulator.gov.au/National-Greenhouse-and-Energy-Reporting/Pages/default.aspx\" title=\"National Greenhouse and Energy Reporting system\">National Greenhouse and Energy Reporting system</a>\r\nTransport model � based output from the Bureau of Infrastructure, Transport and Regional Economics and company reports\r\nA <a href=\"http://www.abs.gov.au/AUSSTATS/abs@.nsf/ProductsbyTopic/63AF63FDCC1078F4CA2571E1001F0FF6?OpenDocument\" title=\"survey of motor vehicle use by the Australian Bureau of Statistics\">survey of motor vehicle use by the Australian Bureau of Statistics</a>, if available","Title":"Department of Environment and Energy (formely ender Australian Bureau of Resources and Energy Economics) (Australia) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":null,"Key_model_inputs":null,"Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":null,"Purpose":null,"Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"tad02","Additional_observations":"Some data are estimated","Contact":null,"Country":"Bosnia and Herzegovina","Data_collected":"Consumption of petroleum and petroleum products\r\nElectricity consumption (railway)","Data_collection_purpose":"To collect energy consumption for transport sector","Main_challenges":"Time-consuming to gather data\r\nIn paper format � difficult to transfer to digital format\r\nData were incomplete","Methodology":"Administrative sources","Organisation":"<a href=\"https://www.vladars.net/eng/vlada/ministries/MIEM/Pages/default.aspx\">Ministry of Industry, Energy and Mining of Republic of Srpska</a>","Sector":"Transport","Sectors_covered":null,"Sources":"<a href=\"https://www.rzs.rs.ba/front/category/15/174/?&amp;add=None\" title=\"Government statistics office\">Government statistics office</a>\r\nEnergy utilities (gas, oil, electricity, other)\r\nManufacturers","Title":"Ministry of Industry, Energy and Mining of Republic of Srpska (Bosnia and Herzegovina) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":null,"Key_model_inputs":null,"Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":null,"Purpose":null,"Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"tad03","Additional_observations":"This methodology adopts a bottom-up approach that estimates the total amount of fuel consumed by the fleet by adding the new cars entering the market by fuel type to the existing fleet and applying a scrap rate to the whole fleet, an average travel distance and an average car efficiency rate by fuel type. Starting to grow fast again, administrative sources in Brazil seems to be evolving in terms of data provision due to the need to invest in infrastructure. Nevertheless there are still a lot of difficulties finding the data needed. For example, there are no national or regional data on transport demand such as passenger kilometre (pkm) and tonne kilometre (tkm).","Contact":null,"Country":"Brazil","Data_collected":"Base fleet\r\nScrap curve\r\nAverage fuel efficiency\r\nSales distribution by technology\r\nConsumption distribution by fuel type\r\nAverage distance travelled","Data_collection_purpose":"To estimate transport energy and activity data\r\nTo calculate transport energy efficiency indicators","Main_challenges":"Time-consuming to gather data\r\nTook a long time to establish a relationship with the organisation\r\nMany data points crossed off due to confidentiality of the sources\r\nNeeded agreement from respondents\r\nData were incomplete\r\nData existed but were confidential","Methodology":"Administrative sources","Organisation":"<a href=\"http://www.centroclima.coppe.ufrj.br/\">Centro Clima</a>","Sector":"Transport","Sectors_covered":null,"Sources":"Government statistics office\r\nUtilities (gas, oil, electricity, other)\r\nManufacturers\r\nInternational organisations","Title":"Centro Clima (Brazil) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":null,"Key_model_inputs":null,"Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":null,"Purpose":null,"Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"tad04","Additional_observations":null,"Contact":null,"Country":"Canada","Data_collected":"Canadian vehicles in operation from DesRosiers Automotive Consultants Inc.\r\nCanadian New Vehicle Registrations Medium and Heavy from R.L. Polk Canada Inc.\r\nPassenger Cars and Light Trucks New Vehicle Registrations from R.L. Polk Canada Inc.\r\nVehicle fuel economy information system from Transport Canada","Data_collection_purpose":"To help run the transportation model","Main_challenges":"High cost to obtain data","Methodology":"Administrative sources","Organisation":"<a href=\"https://www.nrcan.gc.ca/\">Natural Resources Canada</a>","Sector":"Transport","Sectors_covered":null,"Sources":"International organisations\r\nGovernment agency\r\nIndustry experts","Title":"Natural Resources Canada (Canada) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":null,"Key_model_inputs":null,"Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":null,"Purpose":null,"Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"tad11","Additional_observations":"The Ministry of Petroleum collects energy consumption data by fuel from the Ministry of Transport, and then give data to the Ministry of Supply and Internal Trade and combine all data with the Ministry of Finance to determine the subsidies for petroleum products (especially diesel oil prices), and then upon an acceptance of the Egyptian Cabinet, prices are published.","Contact":null,"Country":"Egypt","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":null,"Methodology":"Administrative sources","Organisation":"Ministry of Transport, Ministry of Petroleum","Sector":"Transport","Sectors_covered":null,"Sources":null,"Title":"Ministry of Transport, Ministry of Petroleum (Egypt) ","Documentation_type":"Project website","Available_documentation":"Organisations: <a href=\"http://mot.gov.eg/\" title=\"Ministry of Transport\">Ministry of Transport</a>, <a href=\"https://www.petroleum.gov.eg/en/Pages/HomePage.aspx\" title=\"Ministry of Petroleum\">Ministry of Petroleum</a>, <a href=\"http://www.mti.gov.eg/English/Pages/default.aspx\" title=\"Ministry of Trade and Industry\">Ministry of Trade and Industry</a>","Collection_methods":null,"Frequency":null,"Key_model_inputs":"Egypt Statistical Annual yearbook, CAPMAS annual report","Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":null,"Purpose":"Collection of fuel consumption values in order to�determine the subsidies for petroleum products�","Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"tad05","Additional_observations":null,"Contact":"<a href=\"mailto:epssu@seai.ie\">epssu@seai.ie</a>","Country":"Ireland","Data_collected":"New vehicles each year by make, model, engine size, fuel, emissions label, etc. These are linked to the EU database on fuel efficiency and CO2 emissions to derive sales-weighted fuel efficiency and CO2 emissions overall and by engine size. From the National Car Test, odometer readings are used to produce weighted average annual mileage by engine size and fuel type.","Data_collection_purpose":"To model overall energy use by car with inputs from administrative sources such as weighted averages of fuel efficiency and mileage by engine size (albeit using assumptions for on-road efficiency derived from test efficiency)","Main_challenges":"Time-consuming to gather data\r\nTook a long time to establish a relationship with the organisation","Methodology":"Administrative sources","Organisation":"<a href=\"https://www.seai.ie/\">Sustainable Energy Authority of Ireland</a>","Sector":"Transport","Sectors_covered":null,"Sources":"<a href=\"https://www.gov.ie/en/policy-information/1ba443-motor-taxvehicle-registration/\" title=\"Vehicle registration database\">Vehicle registration database</a>\r\n<a href=\"https://www.ncts.ie/\" title=\"National Car Test\">National Car Test</a> database\r\nEU <a href=\"https://www.gov.uk/co2-and-vehicle-tax-tools\" title=\"database on car fuel efficiency and CO2 emissions\">database on car fuel efficiency and CO2 emissions</a>","Title":"Sustainable Energy Authority of Ireland (Ireland) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":null,"Key_model_inputs":null,"Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":null,"Purpose":null,"Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"tad06","Additional_observations":null,"Contact":null,"Country":"Israel","Data_collected":"Type of vehicle\r\nRegistration date\r\nEngine capacity\r\nType of fuel\r\nGross weight","Data_collection_purpose":"To derive transport activity data","Main_challenges":"Took a long time to establish a relationship with the organisation","Methodology":"Administrative sources","Organisation":"<a href=\"https://www.cbs.gov.il/he/pages/default.aspx\">Central Bureau of Statistics</a>","Sector":"Transport","Sectors_covered":null,"Sources":"<a href=\"https://www.gov.il/en\" title=\"Ministry of Transport\">Ministry of Transport</a>","Title":"Central Bureau of Statistics (Israel) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":null,"Key_model_inputs":null,"Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":null,"Purpose":null,"Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"tad07","Additional_observations":"The Japanese government has been vigorously collecting various data related to transportation. Data have been well controlled, and over the Internet, have been widely available to the public. As of now, the data are available only in Japanese.","Contact":null,"Country":"Japan","Data_collected":"Statistical Survey on Motor Vehicle Transport (<a href=\"http://www.mlit.go.jp/en/index.html\" title=\"Ministry of Land, Infrastructure, Transport and Tourism\">Ministry of Land, Infrastructure, Transport and Tourism</a>)\r\nGeneral Energy Statistics (Energy Balance Table, <a href=\"http://www.enecho.meti.go.jp/en/\" title=\"Agency for Natural Resources and Energy\">Agency for Natural Resources and Energy</a>)\r\nAverage new-car fuel economy (Ministry of Land, Infrastructure)","Data_collection_purpose":"To collect various transport energy and activity data","Main_challenges":"Time-consuming to gather data\r\nIt is difficult to align the time axis of the data","Methodology":"Administrative sources","Organisation":"Japan Automobile Manufactures Association, Libertas Terra Co. Ltd.","Sector":"Transport","Sectors_covered":null,"Sources":"Government statistics office\r\nManufacturers\r\nInternational organisations","Title":"Japan Automobile Manufactures Association, Libertas Terra Co. Ltd. (Japan) ","Documentation_type":"Methodology","Available_documentation":"Methodology: <a href=\"http://libterra.co.jp/Manual(JAMA2006V2).pdf\" title=\"Passenger vehicles average fuel economy performance calculation manual\">Passenger vehicles average fuel economy performance calculation manual</a>","Collection_methods":null,"Frequency":null,"Key_model_inputs":null,"Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":null,"Purpose":null,"Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"tad08","Additional_observations":null,"Contact":null,"Country":"Korea","Data_collected":"Imports, exports, sales, production, stocks of crude oil and final oil products","Data_collection_purpose":"To prepare national oil supply-and-demand statistics","Main_challenges":"In paper format � difficult to transfer to digital format\r\nDefinition issues within a sector","Methodology":"Administrative sources","Organisation":"<a href=\"http://www.knoc.co.kr/ENG/main.jsp\">Korea National Oil Corporation</a>","Sector":"Transport","Sectors_covered":null,"Sources":"Manufacturers","Title":"Korea National Oil Corporation (Korea) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":null,"Key_model_inputs":null,"Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":null,"Purpose":null,"Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"tad09","Additional_observations":null,"Contact":null,"Country":"Mexico","Data_collected":"Traffic indicators for rail, water and air transport modes such as pkm and tkm\r\nAverage distance travelled by transport mode\r\nNumber of vehicles or carriers registered in the country by transport mode","Data_collection_purpose":null,"Main_challenges":"In paper format � difficult to transfer to digital format\r\nDefinition issues within a sector\r\nData were incomplete","Methodology":"Administrative sources","Organisation":"<a href=\"https://www.gob.mx/sener\">Ministry of Energy</a>","Sector":"Transport","Sectors_covered":null,"Sources":"Government statistics office\r\nTransport and Communication Federal Secretariat (<a href=\"http://www.sct.gob.mx/\" title=\"Secretaria de Comunicaciones y Transportes, SCT\">Secretaria de Comunicaciones y Transportes, SCT</a>)\r\nLocal transport secretariats for main cities in Mexico: Ciudad de Mexico, Guadalajara and Monterrey","Title":"Ministry of Energy (Mexico) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":null,"Key_model_inputs":null,"Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":null,"Purpose":null,"Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"tad10","Additional_observations":null,"Contact":"<a href=\"mailto:info@transport.govt.nz\">info@transport.govt.nz</a>","Country":"New Zealand","Data_collected":"Fuel test cycle results\r\nOdometer readings","Data_collection_purpose":"To use the data in statistics publications, research, policy development and the emissions model","Main_challenges":"Data were incomplete","Methodology":"Administrative sources","Organisation":"<a href=\"https://www.transport.govt.nz/\">Ministry of Transport</a>","Sector":"Transport","Sectors_covered":null,"Sources":"<a href=\"https://www.transport.govt.nz/statistics-and-insights/fleet-statistics/\" title=\"New Zealand vehicle database\">New Zealand vehicle database</a>\r\nMandatory vehicle inspection results (in New Zealand vehicles are inspected every 6 or 12 months)","Title":"Ministry of Transport (New Zealand) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":null,"Key_model_inputs":null,"Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":null,"Purpose":null,"Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"tme01","Additional_observations":null,"Contact":null,"Country":"Canada","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Malfunctioning equipment\r\nLack of understanding, lack of proper training on the equipment\r\nCommunication difficulties with respondents","Methodology":"Measuring","Organisation":"<a href=\"https://tc.canada.ca/\">Transport Canada</a>","Sector":"Transport","Sectors_covered":null,"Sources":null,"Title":"Transport Canada (Canada) ","Documentation_type":"Results, Project website","Available_documentation":"Project website: <a href=\"http://www23.statcan.gc.ca/imdb/p2SV.pl?Function=getSurvey&amp;amp;SDDS=2749#a2\">Canadian Vehicle Use Study (up to 2009) and Fuel Consumption Survey (2009-2014)</a>, <a href=\"https://www.statcan.gc.ca/eng/conferences/symposium2014/program/14257-eng.pdf\" title=\"Canadian Vehicle Use Study\">CanadianVehicle Use Study</a>","Collection_methods":null,"Frequency":"Every year","Key_model_inputs":null,"Mandatory":null,"Sample_sources":"National census, plate registration list","Survey_respondents":null,"Who_took_measurements":"Carrier/vehicle operators","Elements_collected":"Trip patterns over time\r\nFuel consumption over time\r\nCarrier utilisation pattern and impact on fuel economy\r\nImpact of fuel switching on vehicle fuel economy\r\nSame as described in the survey","Equipment_used":"� GPS data logger � OttoView \r\n� Suction cup \r\n� OBD cable","Geo_climatic_measurements":null,"Key_best_practice":"Please see survey entry","Name":"Canadian Vehicle Use Study (CVUS)","Purpose":"To understand fuel consumption trends over time by various transportation modes\r\nTo understand impact of a carrier utilisation pattern on fuel economy\r\nTo track average fuel consumption per unit of distance travelled\r\nTo reduce consumption of fuel\r\nTo reduce expenses on fuel\r\nTo complement a model with energy consumption patterns","Recommendations":null,"Sample_design":"Stratified random sampling approach","Sample_Population_size":"20 000 / 20 000 000","Time_to_complete":"21 days","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":"For the moment, the CVUS targets only passenger light-duty vehicles such as pickup truck, minivan, SUV","Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":"Passenger light-duty vehicle, Car, Van, SUV, Pickup truck"},{"Link_ID":"tmo01","Additional_observations":null,"Contact":null,"Country":"Brazil","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Lack of input data\r\nQuality control issues with input data","Methodology":"Modelling","Organisation":"<a href=\"http://www.centroclima.coppe.ufrj.br/\">Centro Clima</a>","Sector":"Transport","Sectors_covered":null,"Sources":null,"Title":"Centro Clima (Brazil) ","Documentation_type":"Report","Available_documentation":"<a href=\"https://iea.blob.core.windows.net/assets/cd191107-3b64-4bfd-abd9-7cb9127f1672/Brazil_light_vehicle_energy_efficiency_programs.pdf\" title=\"Light vehicle energy efficiency programs and their impact on Brazilian CO2 emissions\">Light vehicle energy efficiency programs and their impact on Brazilian CO2 emissions</a>","Collection_methods":null,"Frequency":"No regular survey cycle","Key_model_inputs":"Vehicle penetration by mode\r\nFuel economy by mode\r\nType of travel by mode\r\nFuel consumption by mode\r\nPkm by mode\r\nPhysical characteristics by mode (e.g. weight, life cycle)\r\nTechnology diffusion (internal combustion, hybrid, electric)\r\nFuel prices\r\nEnergy price elasticity relationships","Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"The model was very successful at separating energy consumption depending on the technology (four types) and the fuel used in the vehicle (three types), as well as project the fuel choice of consumers in Brazil","Name":"Light Vehicles Fleet, Consumption and GHG Emissions Projection Model","Purpose":"To estimate energy consumption by mode type\r\nTo estimate regional energy consumption profile by mode type\r\nTo estimate total energy consumption in the transport sector\r\nTo undertake policy scenario analysis\r\nTo estimate GHG emissions","Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":"Energy consumption by mode/vehicle type\r\nFuel-switching options\r\nTechnology diffusion\r\nImpact of energy prices on mode/vehicle activity\r\nGHG emissions","Model_type":"� Bottom-up statistical model \r\n� Custom-built model","Results_validated":"Yes: the model is used to make projections for the period 1990�2005, and then compared with real data to calibrate it","Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":"Car, SUV, Taxi"},{"Link_ID":"tmo02","Additional_observations":"The TEUM of the Office of Energy Efficiency calculates preliminary estimates for road energy use by vehicle type as well as energy use in the air, rail and marine sectors. These preliminary estimates are then calibrated to match Statistics Canada�s <a href=\"http://www5.statcan.gc.ca/olc-cel/olc.action?ObjId=57-003-X&amp;ObjType=2&amp;lang=en&amp;limit=0\" title=\"Report on Energy Supply and Demand in Canada\">Report on Energy Supply and Demand in Canada</a> (RESD, cat. No. 57-003-X) to obtain final road energy use estimates.","Contact":"<a href=\"https://oee.nrcan.gc.ca/common/send-email.cfm?id=2147420207&attr=0\" title=\"Contact form\">Contact form</a>","Country":"Canada","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Lack of input data\r\nLack of data limits the capacity to expend the model","Methodology":"Modelling","Organisation":"<a href=\"https://www.nrcan.gc.ca/\">Natural Resources Canada</a>","Sector":"Transport","Sectors_covered":null,"Sources":null,"Title":"Natural Resources Canada (Canada) ","Documentation_type":"Results, Methodology, Report","Available_documentation":"<a href=\"https://iea.blob.core.windows.net/assets/ef85d20f-8f52-44b1-89dd-4917f0cf19a7/TEUM_summary.pdf\" title=\"Canada - Transportation End-Use Model summary\">Transportation End-Use Model summary</a>\r\nResults: <a href=\"https://oee.nrcan.gc.ca/corporate/statistics/neud/dpa/menus/trends/comprehensive/trends_tran_ca.cfm\" title=\"Comprehensive Energy Use Databases - Transportation Sector\">Comprehensive Energy Use Databases - Transportation Sector</a>\r\nReports: <a href=\"https://iea.blob.core.windows.net/assets/ef85d20f-8f52-44b1-89dd-4917f0cf19a7/EEtrends2013.pdf\" title=\"\">Energy Efficiency Trends in Canada</a>, <a href=\"https://oee.nrcan.gc.ca/corporate/statistics/neud/dpa/data_e/publications.cfm\" title=\"Energy Efficiency Trends in Canada\">website</a>","Collection_methods":null,"Frequency":"Every year","Key_model_inputs":"Fuel economy by mode\r\nFuel consumption by mode\r\nPkm by mode\r\nTkm\r\nVehicle stock\r\nGHG emissions factors","Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"Transportation End-Use Model (TEUM)","Purpose":"To estimate energy consumption by mode type\r\nTo estimate regional energy consumption profile by mode type\r\nTo evaluate fuel economy profile by mode influenced by a number of factors\r\nTo estimate total energy consumption in the transport sector\r\nTo estimate the energy efficiency and the GHG emissions","Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":"Energy consumption by mode/vehicle type\r\nUtilisation pattern and fuel economy by mode/vehicle type\r\nFuel-switching options\r\nGHG emissions\r\nActivity effect, structure effect, energy efficiency effect for freight and passenger movements","Model_type":"Bottom-up statistical model","Results_validated":"Yes: reconciliation of data with the National Inventory Report from Environment Canada and the Report on Energy Supply and Demand in Canada from Statistics Canada.","Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":"Car, Van, SUV, Pickup truck, Taxi, RV, Motorcycle, Freight truck, Bus, Charter airplane, Commercial airplane, Freight rail, Commuter rail, Subway, Freight shipping"},{"Link_ID":"tmo03","Additional_observations":"Truck fuel use factors have been a data gap","Contact":"<a href=\"mailto:info@transport.govt.nz\">info@transport.govt.nz</a>","Country":"New Zealand","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Lack of input data","Methodology":"Modelling","Organisation":"<a href=\"https://www.transport.govt.nz/\">Ministry of Transport</a>","Sector":"Transport","Sectors_covered":null,"Sources":null,"Title":"Ministry of Transport (New Zealand) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":"Every year","Key_model_inputs":"Vehicle penetration by mode\r\nFuel economy by mode\r\nFuel consumption by mode\r\nPhysical characteristics by mode (e.g. weight, life cycle)\r\nFuel prices\r\nTransport demand (private, freight, public)\r\nEnergy price elasticity relationships","Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"Vehicle Fleet Emissions Model","Purpose":"To estimate total energy consumption in the transport sector\r\nTo undertake policy scenario analysis","Recommendations":"Results:�<a href=\"http://www.transport.govt.nz/research/newzealandvehiclefleetstatistics/\" title=\"New Zealand Vehicle Fleet Statistics\">New Zealand Vehicle Fleet Statistics</a>","Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":"Energy consumption by mode/vehicle type\r\nTechnology evolution\r\nFuture fleet and energy use projections","Model_type":"� Bottom-up statistical model \r\n� Custom-built model","Results_validated":"Yes: compare predicted figures with actual energy use","Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":"Car, Van, SUV, Pickup truck, Taxi, Motorcycle, Freight truck"},{"Link_ID":"tmo04","Additional_observations":"The analysis of energy consumption by end use is based on the models developed for the energy perspectives. Fifteen years of experience and annual model runs have helped to increase the number of inputs in all fields of data sources.","Contact":null,"Country":"Switzerland","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Lack of input data\r\nIncluding new trends whenever possible","Methodology":"Modelling","Organisation":"<a href=\"https://www.bfe.admin.ch/bfe/de/home.html\">Swiss Federal Office of Energy; Infras</a>","Sector":"Transport","Sectors_covered":null,"Sources":null,"Title":"Swiss Federal Office of Energy; Infras (Switzerland) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":"Every year","Key_model_inputs":"Vehicle penetration by mode\r\nType of travel by mode\r\nFuel consumption by mode\r\nPkm by mode\r\nPhysical characteristics by mode (e.g. weight, life cycle)\r\nFuel prices\r\nTransport demand (private, freight, public)","Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"Transport Energy Consumption Model","Purpose":"To estimate energy consumption by mode type\r\nTo estimate energy consumption by determinant factors. The basic model was developed for energy perspectives, but also serves for the ex post analysis of energy consumption by end use (mode type) and by determinant factors. The model is calibrated to Swiss energy statistics from 1990 to the latest available year.","Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":"Energy consumption by mode/vehicle type\r\nEnergy consumption by determinant factors","Model_type":"� Bottom-up energy-economic model, close to bottom-up engineering model, but using further inputs such as fuel sales, vehicle stocks, mileage per person or tonnage, age and weight structures, life cycles, driving behaviour, vehicle turnover, etc. for passengers and freights, private and public transports, and different modes and different types of transport (road, rail, air, ship, off-road). The model is mainly based on administrative data (Federal Office of Statistics, etc.), but also uses data from utilities, manufacturers and national associations. The model is based on Swiss statistics on transport, fuel sales, electricity and population; federal vehicle register; vehicle information system; periodic survey on driving performance, performance-related heavy vehicle fee; gross domestic product (GDP); energy prices. \r\n� Custom-built model","Results_validated":"Yes: calibration with Swiss overall energy statistics","Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":"Van, Car, SUV, Pickup truck, Taxi, RV, Bicycle, Motorcycle, Freight truck, Bus, Charter airplane, Commercial airplane, Freight rail, Subway, Commuter rail, Cruise ship, Freight shipping, Passenger ferry, Sailboat"},{"Link_ID":"tmo05","Additional_observations":null,"Contact":"<a href=\"mailto:Energyefficiency.stats@decc.gsi.gov.uk\">Energyefficiency.stats@decc.gsi.gov.uk</a>","Country":"United Kingdom","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":null,"Methodology":"Modelling","Organisation":"<a href=\"https://www.gov.uk/government/organisations/department-of-energy-climate-change\">Department of Energy and Climate Change</a>","Sector":"Transport","Sectors_covered":null,"Sources":null,"Title":"Department of Energy and Climate Change (United Kingdom) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":"Every year","Key_model_inputs":"Vehicle penetration by mode\r\nFuel economy by mode\r\nFuel consumption by mode\r\nPkm by mode\r\nPhysical characteristics by mode (e.g. weight, life cycle)\r\nTransport demand (private, freight, public)","Mandatory":null,"Sample_sources":null,"Survey_respondents":null,"Who_took_measurements":null,"Elements_collected":null,"Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"AEA Surface Transport Consumption Model","Purpose":"To estimate energy consumption by mode type","Recommendations":null,"Sample_design":null,"Sample_Population_size":null,"Time_to_complete":null,"Key_model_outputs":"Energy consumption by mode/vehicle type\r\nGHG emissions","Model_type":"� Bottom-up statistical model, bottom-up engineering model \r\n� Custom-built model","Results_validated":"Yes: the results from the bottom-up model are compared with the total consumption for surface transport and are very consistent.","Incentive":null,"Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":"Car, Van, Taxi, Pickup truck, SUV, RV, Motorcycle, Freight truck, Bus, Commuter rail, Freight rail, Subway"},{"Link_ID":"tsu01","Additional_observations":null,"Contact":"<a href=\"mailto:client.services@abs.gov.au\">client.services@abs.gov.au</a>","Country":"Australia","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Incomplete survey\r\nInconsistent responses\r\nResponse quality","Methodology":"Surveying","Organisation":"<a href=\"https://www.abs.gov.au/\">Australian Bureau of Statistics</a>","Sector":"Transport","Sectors_covered":null,"Sources":null,"Title":"Australian Bureau of Statistics (Australia) ","Documentation_type":"Questionnaire, Results","Available_documentation":"Results: <a href=\"https://www.abs.gov.au/statistics/industry/tourism-and-transport/survey-motor-vehicle-use-australia/latest-release\" title=\"Survey of Motor Vehicle Use\">Survey of Motor Vehicle Use</a>\r\n<a href=\"https://www.abs.gov.au/methodologies/survey-motor-vehicle-use-australia-methodology/12-months-ended-30-june-2020\" title=\"Survey questionnaires and results\">Survey questionnaires and results</a>\r\n","Collection_methods":"Paper form sent by mail","Frequency":"Every two years","Key_model_inputs":null,"Mandatory":"1","Sample_sources":"Plate registration list","Survey_respondents":"Registered road vehicle owners (government and private)","Who_took_measurements":null,"Elements_collected":"Vehicle fuel efficiency\r\nType and volume of annual fuel consumed\r\nDistance travelled\r\nVehicle size (weight/capacity/volume)\r\nVehicle age group","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"Survey of Motor Vehicle Use","Purpose":"To understand fuel consumption trends by transportation mode\r\nTo track average fuel consumption per unit of distance travelled","Recommendations":null,"Sample_design":"Stratified random sampling approach","Sample_Population_size":"16 000/16 000 000","Time_to_complete":"Not available","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"The co-operation of providers is always sought in the first instance. The Census and Statistics Act 1907 gives the Australian Statistician the power to issue a notice of direction to non-respondents. If the non-respondent fails to provide data in response to the notice then the statistician can seek a fine.","Population_description":"This survey relates purely to motor vehicles registered for road use (passenger light-duty vehicles, trucks, buses, etc.).","Response_rate":"84%","End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":"Passenger light-duty vehicle, Freight truck, Bus"},{"Link_ID":"tsu02","Additional_observations":null,"Contact":null,"Country":"Canada","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Low response rate\r\nIncomplete survey\r\nQuality of the interviewing staff\r\nRecruiting, training and retaining project staff\r\nParticipants accepting to participate and not participating\r\nIn some cases it is challenging to retrieve the monitoring equipment","Methodology":"Surveying","Organisation":"<a href=\"https://tc.canada.ca/\">Transport Canada</a>","Sector":"Transport","Sectors_covered":null,"Sources":null,"Title":"Transport Canada (Canada) ","Documentation_type":"Project website","Available_documentation":"Project website: <a href=\"http://www23.statcan.gc.ca/imdb/p2SV.pl?Function=getSurvey&amp;amp;SDDS=2749#a2\">Canadian Vehicle Use Study (up to 2009) and Fuel Consumption Survey (2009-2014)</a><a href=\"https://www.statcan.gc.ca/eng/conferences/symposium2014/program/14257-eng.pdf\" title=\"Canadian Vehicle Use Study\"></a>","Collection_methods":"Paper form sent by mail\r\nTelephone interview\r\nElectronic portable onboard data logger","Frequency":"Every year","Key_model_inputs":null,"Mandatory":"0","Sample_sources":"Plate registration list","Survey_respondents":"Private vehicle owners, fleet carriers","Who_took_measurements":null,"Elements_collected":"Total energy consumption\r\nVehicle fuel efficiency\r\nType and volume of annual fuel consumed\r\nVehicle kilometres (vkm)\r\npkm\r\nMotive for trip\r\nVehicle size (weight/ capacity)\r\nVehicle age group\r\nUnit fuel cost\r\nTotal annual fuel cost\r\nIn total, more than 50 fields of information collected: number of study days, number of active days (actual drive), number of trips, driving time, idling time, trip length, trip duration, vehicle speed, vehicle location (GPS), engine temperature, day type (e.g. weekday versus weekend) etc.","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"Regular biweekly meetings with surveying team to discuss all points needed to improve (issues, challenges, items not required anymore, adapt the phone script if necessary)","Name":"Canadian Vehicle Use Study","Purpose":"To estimate regional diffusion of various transportation modes\r\nTo understand fuel consumption trends by transportation mode\r\nTo track average fuel consumption per unit of distance travelled\r\nTo collect information on motor vehicle use to help understand driving behaviour, observe trends in use across the country and over time, and aid in the development of programmes and policies to improve road safety, lower fuel consumption, and reduce air pollution and related emissions","Recommendations":"At this point the effort is to increase the participation rate, by offering better incentives, the information through a website, participant reports, tips for drivers, quarterly results. Also, it is important to understand the non-respondents.","Sample_design":"Stratified random sampling approach","Sample_Population_size":"20 000 / 20 000 000","Time_to_complete":"5 minutes","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"Cash or other monetary incentives","Population_description":"Activity data are collected electronically via a portable onboard data logger, which connects on all 1996 and newer light vehicles. Light vehicles include passenger cars, pickup/cargo, minivans and SUVs.","Response_rate":"25%","End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":"Passenger light-duty vehicle, Car, Van, SUV, Pickup truck, Other truck"},{"Link_ID":"tsu13","Additional_observations":null,"Contact":null,"Country":"Costa Rica","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":null,"Methodology":"Surveying","Organisation":"Energy Planning Secretariat","Sector":"Transport","Sectors_covered":null,"Sources":null,"Title":"Energy Planning Secretariat (Costa Rica) ","Documentation_type":"Report","Available_documentation":"<a href=\"https://sepse.go.cr/nuestros-productos/encuestas-sectoriales/\">Survey documentation</a>\r\n<a href=\"https://iea.blob.core.windows.net/assets/6e644408-f6a7-457b-a368-89faa76134db/Encuesta_de_transporte_2013.pdf\" title=\"\">Survey - Energy Consumption in the Transport Sector</a>","Collection_methods":"Interview to the driver of the vehicle at different gas stations nationwide.","Frequency":"No regular survey cycle","Key_model_inputs":null,"Mandatory":"0","Sample_sources":"Survey on drivers that fuel their vehicles on selected service stations nationwide.","Survey_respondents":"Drivers of road vehicles at service stations","Who_took_measurements":null,"Elements_collected":"Vehicle information: brand, model, year, size, weight/ capacity, number of occupants, fuel type, etc;\r\nType of use: number of active days (actual drive), number of trips, driving time, idling time, trip length, trip duration, vehicle speed, day type (e.g. weekday versus weekend);\r\nTotal energy consumption;\r\nVehicle kilometres (vkm);\r\nUnit fuel cost.","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"Energy Consumption Survey on Road Transport Sector ","Purpose":"To characterize the energy consumption on the transport sector;\r\nTo track energy consumption over time;\r\nTo determine the structure and total energy consumption according to source, end use and type of vehicle;\r\nTo understand fuel consumption trends by transportation mode;\r\nTo track average fuel consumption, and distance travelled by transportation mode.","Recommendations":null,"Sample_design":"Stratified random sampling approach","Sample_Population_size":"3023 / 1 303 883","Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"None","Population_description":null,"Response_rate":null,"End_uses_covered":"All type of road vehicles at gasoline, diesel and LPG filling stations in the sample selected according to the region and characteristics of the station.","Service_categories_covered":null,"Vehicle_type_covered":"Passenger light-duty vehicle, Car, Van, SUV, Pickup truck, Other truck"},{"Link_ID":"tsu03","Additional_observations":null,"Contact":null,"Country":"Czech Republic","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Low response rate\r\nIncomplete survey\r\nInconsistent responses\r\nResponse quality\r\nLack of resources","Methodology":"Surveying","Organisation":"<a href=\"https://www.mpo.cz/default_en.html\">Ministry of Industry and Trade (MIT)</a>","Sector":"Transport","Sectors_covered":null,"Sources":null,"Title":"Ministry of Industry and Trade (Czech Republic) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":"Paper form sent by mail\r\nInternet based","Frequency":"Every year","Key_model_inputs":null,"Mandatory":"1","Sample_sources":null,"Survey_respondents":"Private vehicle owners, air carriers, railway carriers","Who_took_measurements":null,"Elements_collected":"Total energy consumption\r\nUnit fuel cost","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"Statistical Reports","Purpose":"To derive energy consumption in the transportation sector","Recommendations":"Improve communication with respondents; better funding","Sample_design":"According to certain characteristics","Sample_Population_size":"6 000","Time_to_complete":"80 minutes","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"A fine","Population_description":"According to NACE","Response_rate":"80%","End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"tsu05","Additional_observations":null,"Contact":null,"Country":"France","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Inconsistent responses\r\nResponse quality","Methodology":"Surveying","Organisation":"<a href=\"https://www.ecologie.gouv.fr/\">Ministry of Ecological Transition</a>","Sector":"Transport","Sectors_covered":null,"Sources":null,"Title":"Ministry of Ecology, Sustainable Development and Energy (France) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":"Paper form sent by mail","Frequency":"Every year","Key_model_inputs":null,"Mandatory":"0","Sample_sources":null,"Survey_respondents":"Personal vehicle owners","Who_took_measurements":null,"Elements_collected":"Total energy consumption\r\nType and volume of annual fuel consumed\r\nVkm\r\nVehicle size (capacity)\r\nVehicle age group\r\nUnit fuel cost\r\nTotal annual fuel cost","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":"The fuel record book stays in the car and is filled by the driver each time he/she fills the tank with fuel","Name":"Survey on fuel consumption of personal cars","Purpose":"To derive energy consumption in the transportation sector\r\nTo track average fuel consumption per unit of distance travelled\r\nTo derive a global circulation in terms of vkm","Recommendations":"Increasing the sample size","Sample_design":"There is no specific sampling method. �Volunteers� are required by Kantar Worldpanel, the company in charge of the survey. The statistical representativeness is guaranteed due to post-survey statistical treatments","Sample_Population_size":"3 300 / 31 100 000","Time_to_complete":"Not available","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"None","Population_description":"Only personal light-duty vehicles whose fuel is either gasoline or diesel are included in the survey","Response_rate":"84%","End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":"Passenger light-duty vehicle"},{"Link_ID":"tsu04","Additional_observations":null,"Contact":null,"Country":"France","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Incomplete survey\r\nInconsistent responses\r\nResponse quality","Methodology":"Surveying","Organisation":"<a href=\"https://www.ecologie.gouv.fr/\">Ministry of Ecological Transition</a>","Sector":"Transport","Sectors_covered":null,"Sources":null,"Title":"Ministry of Ecology, Sustainable Development and Energy (France) ","Documentation_type":"Project website, Questionnaire, Report, Results","Available_documentation":"<a href=\"https://www.statistiques.developpement-durable.gouv.fr/enquete-nationale-transports-et-deplacements-entd-2008\" title=\"Project website\">Project website</a>\r\n<a href=\"https://www.statistiques.developpement-durable.gouv.fr/sites/default/files/2018-12/ENTD_2007-2008_Questionnaire.pdf\" title=\"Survey questionnaire\">Survey questionnaire (French)</a>","Collection_methods":"Computer-assisted personal interview","Frequency":"No regular survey cycle","Key_model_inputs":null,"Mandatory":"1","Sample_sources":"National census","Survey_respondents":"The household (the individuals) and one vehicle of the household","Who_took_measurements":null,"Elements_collected":"Total energy consumption\r\nPkm\r\nPurpose of trip\r\nVehicle age group","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"National Transportation Survey","Purpose":"To derive energy consumption in the transportation sector\r\nTo estimate regional diffusion of various transportation modes\r\nTo understand fuel consumption trends by transportation mode\r\nTo get a global and coherent vision of all the modes in Metropolitan France\r\nTo estimate pkm covered by the households\r\nTo describe the vehicles (car, bike, motorcycle, motorhome, etc.) used by the households","Recommendations":"Existing survey could be improved by further simplifying the survey questions and length","Sample_design":"Stratified random sampling approach","Sample_Population_size":"20 178 / 27 000 000 households","Time_to_complete":"60 minutes","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"None","Population_description":"Every aspect of personal mobility and every mode of transportation (by foot, bike, motorcycle, car, bus, train, plane, etc.) are included. Commercial trips are excluded.","Response_rate":"Not available","End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":"Car, Van, SUV, Pickup truck, Taxi, Bicycle, Motorcycle, Bus, Charter airplane, Commercial airplane, Commuter rail, Subway, Cruise ship, Passenger ferry, Sailboat, RV, Other truck, City bus, Intercity bus, Tour bus"},{"Link_ID":"tsu06","Additional_observations":null,"Contact":null,"Country":"Korea","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Low response rate\r\nResponse quality","Methodology":"Surveying","Organisation":"<a href=\"https://dco.energy.or.kr/renew_eng/main/main.aspx\">Korea Energy Agency</a>","Sector":"Transport","Sectors_covered":null,"Sources":null,"Title":"Korea Energy Management Corporation (Korea) ","Documentation_type":"Questionnaire","Available_documentation":"<a href=\"https://iea.blob.core.windows.net/assets/e73b06cf-c8c9-4999-b888-b6a5c586b6d6/Korea_freight_survey.pdf\" title=\"Freight transport survey questionnaire\">Freight transport survey questionnaire</a>\r\n<a href=\"https://iea.blob.core.windows.net/assets/e73b06cf-c8c9-4999-b888-b6a5c586b6d6/Korea_road_transportation_survey.pdf\" title=\"Korea road transport survey questionnaire\">Road transport survey questionnaire</a>\r\n<a href=\"https://iea.blob.core.windows.net/assets/e73b06cf-c8c9-4999-b888-b6a5c586b6d6/Korea_rail_survey.pdf\" title=\"Rail transport survey questionnaire\">Rail transport survey questionnaire</a>\r\n<a href=\"https://iea.blob.core.windows.net/assets/e73b06cf-c8c9-4999-b888-b6a5c586b6d6/Korea_water_transportation_survey.pdf\" title=\"Water transport survey questionnaire\">Water transport survey questionnaire</a>\r\n<a href=\"https://iea.blob.core.windows.net/assets/e73b06cf-c8c9-4999-b888-b6a5c586b6d6/Korea_taxi_survey.pdf\" title=\"Taxi transport survey questionnaire\">Taxi transport survey questionnaire</a>\r\n","Collection_methods":"In-house visit","Frequency":"Every three years","Key_model_inputs":null,"Mandatory":"0","Sample_sources":"Plate registration list, list of freight companies, list of public vehicles","Survey_respondents":"Private vehicle owners, air carriers, railway carriers, fleet carriers","Who_took_measurements":null,"Elements_collected":"Total energy consumption\r\nType and volume of annual fuel consumed\r\nVkm\r\nPkm\r\nVehicle size (weight)\r\nVehicle size (capacity)\r\nVehicle age group\r\nTotal annual fuel cost","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"National Energy &amp; GHG Emissions Survey","Purpose":"To derive energy consumption in the transportation sector\r\nTo understand fuel consumption trends by transportation mode\r\nTo track average fuel consumption per unit of distance travelled","Recommendations":null,"Sample_design":"Stratified random sampling approach","Sample_Population_size":"67 012 / 18 476 400","Time_to_complete":"30 minutes","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"Non-cash incentives such as gift coupons","Population_description":"All transportation modes","Response_rate":"90%","End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":"Van, Taxi, Car, Pickup truck, Motorcycle, Freight truck, Bus, Charter airplane, Commercial airplane, Commuter rail, Freight rail, Subway, Cruise ship, Freight shipping, Passenger ferry, Intercity bus, Tour bus, City bus"},{"Link_ID":"tsu07","Additional_observations":null,"Contact":null,"Country":"Mexico","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Inconsistent responses\r\nResponse quality\r\nBias from the interviewer","Methodology":"Surveying","Organisation":"<a href=\"https://www.gob.mx/sener\">Ministry of Energy</a>","Sector":"Transport","Sectors_covered":null,"Sources":null,"Title":"Ministry of Energy (Mexico) ","Documentation_type":"Report","Available_documentation":"<a href=\"https://www.google.com.mx/url?sa=t&amp;rct=j&amp;q=&amp;esrc=s&amp;source=web&amp;cd=1&amp;cad=rja&amp;uact=8&amp;ved=0CBoQFjAA&amp;url=http%3A%2F%2Fwww.energia.gob.mx%2FwebSener%2Ftaller%2Fres%2F1861%2FReporte_final.ppt&amp;ei=Mx20U--LOYiw0QWrwoHYBA&amp;usg=AFQjCNHxFSDcsn7G80uKO4cdbo8QYLU7tQ&amp;bvm=bv.70138588,d.cWc\" title=\"Report\">Report</a>","Collection_methods":"Questionnaire applied in situ to the driver of the vehicle","Frequency":"No regular survey cycle","Key_model_inputs":null,"Mandatory":"0","Sample_sources":null,"Survey_respondents":"Drivers of the road vehicles at the gasoline, diesel and LPG filling stations","Who_took_measurements":null,"Elements_collected":"Total energy consumption\r\nVehicle fuel efficiency\r\nType and volume of annual fuel consumed\r\nVkm\r\nPkm\r\nVehicle size (capacity)\r\nVehicle age group\r\nUnit fuel cost\r\nVehicle purchased as new or used, use of air conditioner, tenure of vehicle insurance, maintenance and mechanical characteristics of the vehicle (tuning, mechanical problems and verification)","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"Survey on Fuel Consumption in the Cargo and Passenger Road Transport Sector by Mode","Purpose":"To track average fuel consumption per unit of distance travelled\r\nTo learn about the travel patterns of passengers and freights by mode","Recommendations":"Changing the wording of some questions, establishing other ways to ask or get the information required, retaining and training the project and interviewing staff, improving the representativeness of the sample for trucks, among others.","Sample_design":"Stratified random sampling approach. \r\nThe sample was designed in two stages: \r\nSample of gasoline, diesel and LPG filling stations stratified according to SENER region, \r\nsales volume and other characteristics of the filling stations \r\nEqual probability of selection of the vehicles at the filling station selected in stage 1.","Sample_Population_size":"24 630 / 28 188 362","Time_to_complete":"4 minutes","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"None","Population_description":"All type of road vehicles at gasoline, diesel and LPG filling stations in the sample selected according to the region and characteristics of the station","Response_rate":"Not available","End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":"Car, Van, SUV, Pickup truck, Taxi, RV, Motorcycle, Freight truck, Bus, City bus, Intercity bus, Tour bus"},{"Link_ID":"tsu12","Additional_observations":null,"Contact":null,"Country":"Morocco","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Update of the sampling base\r\nResponse quality","Methodology":"Surveying","Organisation":"<a href=\"https://www.mem.gov.ma/en/pages/index.aspx\">Ministry of Energy, Mines and Sustainable Development. Department of Energy</a>","Sector":"Transport","Sectors_covered":null,"Sources":null,"Title":"Ministry of Energy, Mines and Sustainable Development. Department of Energy. (Morocco) ","Documentation_type":"Questionnaire","Available_documentation":"<a href=\"https://iea.blob.core.windows.net/assets/ffd061d6-a797-4e6c-a074-317ecf89af15/Questionnaire_du_transport_maritime.pdf\" title=\"Morocco transport survey questionnaire(water)\">Morocco transport survey questionnaire(water)</a>","Collection_methods":"Questionnaire collected on site","Frequency":"No regular survey cycle","Key_model_inputs":null,"Mandatory":"0","Sample_sources":"The transport companies, industry, tertiary, agriculture and residential sectors in Morocco. The survey is face to face.","Survey_respondents":"The transport companies, industry, tertiary, agriculture and residential sectors in Morocco.","Who_took_measurements":null,"Elements_collected":"For each unit in the sectors surveyed, the following data were requested:\r\nNumber of vehicles\r\nAnnual distance travelled by vehicle\r\nEnergy Consumption in value and quantity\r\nAges of vehicles\r\nTonnage for freight transport\r\nNumber of passengers\r\n�","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"Survey of energy consumption in the transport sector","Purpose":"� To determine the final energy consumption by mode of transportation, fuel type and vehicle age.� To calculate the energy efficiency indicators for the transport sector.","Recommendations":"Increased sample size�","Sample_design":"�\tStratified random sampling approach for the transport companies.\r\n�\tStratified random sampling approach for the transport in the industry and tertiary sectors.\r\n�\tQuota method for the transport by taxi, in the residential and agricultural sectors.\r\n�\tExhaustive Survey for the air, maritime and railway transport.","Sample_Population_size":"4440 units ","Time_to_complete":null,"Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"None","Population_description":null,"Response_rate":null,"End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"tsu08","Additional_observations":null,"Contact":"<a href=\"mailto:info@transport.govt.nz\">info@transport.govt.nz</a>","Country":"New Zealand","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Response quality","Methodology":"Surveying","Organisation":"<a href=\"https://www.transport.govt.nz/\">Ministry of Transport</a>","Sector":"Transport","Sectors_covered":null,"Sources":null,"Title":"Ministry of Transport (New Zealand) ","Documentation_type":"Results","Available_documentation":"<a href=\"https://catalogue.data.govt.nz/dataset/energy-use-statistics\" title=\"New Zealand Energy Use Survey\">New Zealand Energy Use Survey</a>\r\n<a href=\"https://www.mbie.govt.nz/building-and-energy/energy-and-natural-resources/energy-statistics-and-modelling/energy-publications-and-technical-papers/new-zealand-energy-quarterly/\" title=\"New Zealand Energy Quarterly\">New Zealand Energy Quarterly</a>","Collection_methods":"Paper form sent by mail","Frequency":"Every three years","Key_model_inputs":null,"Mandatory":"0","Sample_sources":null,"Survey_respondents":"A survey of different sectors of the economy including farms, fishing, forestry, industrial, distribution","Who_took_measurements":null,"Elements_collected":"Total energy consumption\r\nType and volume of annual fuel consumed","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"Statistics New Zealand Energy End Use Survey (or similar)","Purpose":"To derive energy consumption in the transportation sector","Recommendations":"The quality was good, but some questions have been improved after finding out what most troubled the respondents","Sample_design":"Stratified random sampling approach","Sample_Population_size":"Not available","Time_to_complete":"Not available","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"None","Population_description":"A series of rolling surveys of different sectors of the economy","Response_rate":"80%","End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null},{"Link_ID":"tsu11","Additional_observations":null,"Contact":null,"Country":"Palestinian Authority","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Inability to access all the vehicles in the sample because of the shortness of the field work time, and not the influx of all types of vehicles to testing centers during the fieldwork period.\r\nSome Drivers did not provide accurate answers in the questionnaire.�\r\nAnswering questions related to consumption based on estimations.","Methodology":"Surveying","Organisation":"<a href=\"https://www.pcbs.gov.ps/default.aspx\">Palestinian Central Bureau of Statistics </a>","Sector":"Transport","Sectors_covered":null,"Sources":null,"Title":"Palestinian Central Bureau of Statistics  (Palestinian Authority) ","Documentation_type":"Questionnaire, Report","Available_documentation":"<a href=\"https://iea.blob.core.windows.net/assets/f6301bbf-727a-4168-a286-b145ec675fbf/TransportSurveyMethodologyandresults.pdf\" title=\"\">Palestinian authority - transport survey - Report (2015)</a>\r\nQuestionnaire: <a href=\"https://iea.blob.core.windows.net/assets/f6301bbf-727a-4168-a286-b145ec675fbf/ENTQ2014.doc\" title=\"\">Palestinian Authority - Transport Survey - Questionnaire (Arabic)</a>","Collection_methods":"Questionnaire based","Frequency":"First time the survey take place was in 2015.","Key_model_inputs":null,"Mandatory":null,"Sample_sources":"A list of the number of the operating vehicles in Palestine in 2014, they are broken down by governorates and vehicle types, this list was obtained from Ministry of transport.","Survey_respondents":"Vehicle type: private, public passenger transport, motorcycles, public buses, private buses, trucks, tractors, etc...","Who_took_measurements":null,"Elements_collected":"Some examples are: Vehicle fuel efficiency, Type and volume of annual fuel consumed, Distance travelled, Vehicle size (weight/capacity/volume), Vehicle age group","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"Energy Consumption in Transport Survey 2014","Purpose":"Providing the data required to develop the energy transport sector and to save and raise the efficiency of energy consumption in this sector as well as filling gaps in energy statistics and providing useful data for decision� makers, researchers and other users.\r\nTo understand fuel consumption trends by transportation mode.As for example: To track average fuel consumption per unit of distance travelled.","Recommendations":null,"Sample_design":"It is stratified random sample, and in some of the small size strata the quota sample was used to cover them.","Sample_Population_size":"6,974 / 244,515","Time_to_complete":"6 Months","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":null,"Population_description":"All the operating vehicles in Palestine in 2014.The target population was divided by region (11 governorates in the West Bank and Gaza Strip), vehicle type (private, public passenger transport, motorcycles, public buses, private buses, trucks, tractors etc..), type of engine fuels (gasoline, diesel), model (2004 and less, 2005 and more) and engine capacity (2500cc and less, more than 2500cc).","Response_rate":"80.70%","End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":"Bus, Car, City bus, Freight truck, Intercity bus, Motorcycle"},{"Link_ID":"tsu09","Additional_observations":null,"Contact":null,"Country":"Sweden","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"Inconsistent responses","Methodology":"Surveying","Organisation":"<a href=\"http://www.energimyndigheten.se/en/\">Swedish Energy Agency</a>","Sector":"Transport","Sectors_covered":null,"Sources":null,"Title":"Swedish Energy Agency (Sweden) ","Documentation_type":"Results","Available_documentation":"Results: <a href=\"http://www.statistikdatabasen.scb.se/pxweb/en/ssd/START__EN__EN0107/LevOljorM/\" title=\"Monthly fuel, gas and inventory statistics\">Monthly fuel, gas and inventory statistics</a>","Collection_methods":"Internet based","Frequency":"Every year","Key_model_inputs":null,"Mandatory":"1","Sample_sources":null,"Survey_respondents":"Oil companies","Who_took_measurements":null,"Elements_collected":"Total energy consumption\r\nType and volume of annual fuel consumed","Equipment_used":null,"Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"Monthly Fuel Gas and Inventory Statistics","Purpose":"To derive energy consumption in the transportation sector","Recommendations":null,"Sample_design":"Census","Sample_Population_size":"200 / 200","Time_to_complete":"Not available","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"A fine","Population_description":"All companies delivering oil products to the Swedish market","Response_rate":"100%","End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":"Car, Van, SUV, Pickup truck, Bicycle, Taxi, Motorcycle, RV, Freight truck, Bus, Charter airplane, Commercial airplane, Commuter rail, Freight rail, Subway, Cruise ship, Freight shipping, Passenger ferry, Sailboat, City bus, Intercity bus, Tour bus"},{"Link_ID":"tsu10","Additional_observations":null,"Contact":null,"Country":"Ukraine","Data_collected":null,"Data_collection_purpose":null,"Main_challenges":"The number of respondents is too large","Methodology":"Surveying","Organisation":"<a href=\"http://www.ukrstat.gov.ua/\">State Statistics Committee of Ukraine</a>","Sector":"Transport","Sectors_covered":null,"Sources":null,"Title":"State Statistics Committee of Ukraine (Ukraine) ","Documentation_type":null,"Available_documentation":null,"Collection_methods":null,"Frequency":"Every year","Key_model_inputs":null,"Mandatory":"1","Sample_sources":"National census","Survey_respondents":"Private vehicle owners, air carriers, railway carriers, vehicle manufacturers, fleet carriers","Who_took_measurements":null,"Elements_collected":"Total energy consumption\r\nVehicle fuel efficiency\r\nTotal annual fuel cost\r\nSale of oil products","Equipment_used":"� Paper form sent by mail \r\n� Internet based","Geo_climatic_measurements":null,"Key_best_practice":null,"Name":"Consumption of fuel, heat power and energy; Stocks and use of energy materials and oil-processing products; Sale of oil products by fuel filling stations","Purpose":"To derive energy consumption in the transportation sector\r\nTo understand fuel consumption trends by transportation mode","Recommendations":"Shift from census to sample-based survey, simplification of the questionnaire","Sample_design":"Census","Sample_Population_size":"9 000 / 9 000","Time_to_complete":"180 minutes","Key_model_outputs":null,"Model_type":null,"Results_validated":null,"Incentive":"A fine","Population_description":"Reports are provided by all legal units that consume or sell fuel. Legal units can be classified by mode of transport.","Response_rate":"100%","End_uses_covered":null,"Service_categories_covered":null,"Vehicle_type_covered":null}]