ANNUAL QUESTIONNAIRE RENEWABLES AND WASTES IEA - Eurostat - UNECE ENGLISH FRANÇAIS EXPLANATORY NOTES The objective of the electronic questionnaire is to facilitate data entry for administrations and at the same time to try to avoid errors, which would require a substantial time investment for the IEA and/or Eurostat and also for the national administrations, to correct. To facilitate data entry, three options are provided: - Data import using ASCII data transfers - Data entry through time series - Data entry through forms The time series format enables the user to see the data for all the years for one given product/subject. The forms format enables the user to choose the year they want to enter data for on all the tables. The revision of historical data is allowed and encouraged. To assist the user in this process, the revised cells are highlighted in yellow. Internal consistency checks can be run for one given year at a time. The error messages appear on a separate sheet at the end of the questionnaire. The user should consider error messages and try to correct the errors before returning the document to the IEA and/or Eurostat. It is strongly recommended to read the user documentation for further setup instructions before working on the questionnaire. Should you have any questions regarding the functions of this file or other logistics please do not hesitate to contact: IEA Eurostat DIAZ ALONSO Fernando Email address: renewaq@iea.org estat-energy@ec.europa.eu Telephone: 33 1 40 57 66 27 Countries reporting to Eurostat should transmit the completed questionnaire via the Single Entry Point (SEP) following the implementing procedures of edamis (electronic Data files Administration and Management Information System). https://webgate.ec.europa.eu/edamis Data entry menu: Menu
TABLE 1. GROSS ELECTRICITY AND HEAT PRODUCTION MAINELEC MAINCHP MAINHEAT AUTOELEC AUTOCHP AUTOHEAT MAINTOT AUTOTOT 2016 MAIN ACTIVITY PRODUCER PLANTS AUTOPRODUCER PLANTS TOTAL ELECTRICITY CHP HEAT ELECTRICITY CHP HEAT MAIN ACTIVITY PRODUCER AUTOPRODUCER ELECTRICITY Unit: MWh A B C D E F G (= A+B+C) H (= D+E+F) Total 1 0 0 0 0 0 0 Hydro 2 0 0 0 0 Hydro-1 MW 3 0 0 0 0 Hydro 1-10 MW 4 0 0 0 0 Hydro 10+ MW 5 0 0 0 0 Pumped hydro 6 0 0 0 0 Geothermal 7 0 0 0 0 0 0 Solar photovoltaic 8 0 0 0 0 Solar thermal 9 0 0 0 0 0 0 Tide, wave and ocean 10 0 0 0 0 Wind 11 0 0 0 0 Industrial waste 12 0 0 0 0 0 0 Municipal waste (renew.) 13 0 0 0 0 0 0 Municipal waste (non-renew) 14 0 0 0 0 0 0 Solid biofuels 15 0 0 0 0 0 0 Biogases 16 0 0 0 0 0 0 Biodiesels 17 0 0 0 0 0 0 Other liquid biofuels 18 0 0 0 0 0 0 HEAT Unit: TJ Total 19 0 0 0 0 0 0 Geothermal 20 0 0 0 0 0 0 Solar thermal 21 0 0 0 0 0 0 Industrial Waste 22 0 0 0 0 0 0 Municipal waste (renew.) 23 0 0 0 0 0 0 Municipal waste (non-renew) 24 0 0 0 0 0 0 Solid biofuels 25 0 0 0 0 0 0 Biogases 26 0 0 0 0 0 0 Biodiesels 27 0 0 0 0 0 0 Other liquid biofuels 28 0 0 0 0 0 0 Row 2: This item should be equal to the sum of items 3,4,5 and 6. Rows 3 to 5: Net of pumping
TABLE 2. SUPPLY, TRANSFORMATION, ENERGY SECTORS & END USE Geothermal energy Solar thermal Industrial waste (non-renewable) MUNICIPAL WASTE SOLID BIOFUELS BIOGASES LIQUID BIOFUELS Renewable Non-renewable Solid biofuels excluding charcoal Charcoal Biogases Biogasoline Of which bioethanol Bio jet kerosenes Biodiesels Other liquid biofuels TJ (NCV) TJ (NCV) TJ (NCV) TJ (NCV) TJ (NCV) TJ (NCV) 1000 tonnes TJ (NCV) tonnes tonnes tonnes tonnes tonnes 2016 A B C D E F G H I J K L M Indigenous production 1 0 0 0 0 0 0 0 0 0 0 0 0 0 Total imports (balance) 2 0 0 0 0 0 0 0 0 0 0 0 0 0 Total exports (balance) 3 0 0 0 0 0 0 0 0 0 0 0 0 0 Stock changes (national territory) 4 0 0 0 0 0 0 0 0 0 0 0 0 0 Inland consumption (calculated) 5 0 0 0 0 0 0 0 0 0 0 0 0 0 Statistical differences 6 0 0 0 0 0 0 0 0 0 0 0 0 0 Transformation sector 7 0 0 0 0 0 0 0 0 0 0 0 0 0 Main activity producer electricity plants 8 0 0 0 0 0 0 0 0 0 0 0 0 0 Main activity producer CHP plants 9 0 0 0 0 0 0 0 0 0 0 0 0 0 Main activity producer heat plants 10 0 0 0 0 0 0 0 0 0 0 0 0 0 Autoproducer electricity plants 11 0 0 0 0 0 0 0 0 0 0 0 0 0 Autoproducer CHP plants 12 0 0 0 0 0 0 0 0 0 0 0 0 0 Autoproducer heat plants 13 0 0 0 0 0 0 0 0 0 0 0 0 0 Patent fuel plants (Transformation) 14 0 0 0 0 0 0 0 0 0 0 0 0 0 BKB plants (Transformation) 15 0 0 0 0 0 0 0 0 0 0 0 0 0 Gas works (Transformation) 16 0 0 0 0 0 0 0 0 0 0 0 0 0 Blast furnaces (Transformation) 17 0 0 0 0 0 0 0 0 0 0 0 0 0 Natural gas blending plants 18 0 0 0 0 0 0 0 0 0 0 0 0 0 For blending with Motor 19 0 0 0 0 0 0 0 0 0 0 0 0 0 Charcoal production plants (Transformation) 20 0 0 0 0 0 0 0 0 0 0 0 0 0 Not elsewhere specified (Transformation) 21 0 0 0 0 0 0 0 0 0 0 0 0 0 Energy sector 22 0 0 0 0 0 0 0 0 0 0 0 0 0 Gasification plants for Biogas 23 0 0 0 0 0 0 0 0 0 0 0 0 0 Own use in electricity, CHP and heat plants 24 0 0 0 0 0 0 0 0 0 0 0 0 0 Coal mines 25 0 0 0 0 0 0 0 0 0 0 0 0 0 Patent fuel plants (Energy) 26 0 0 0 0 0 0 0 0 0 0 0 0 0 Coke ovens (Energy) 27 0 0 0 0 0 0 0 0 0 0 0 0 0 Oil refineries 28 0 0 0 0 0 0 0 0 0 0 0 0 0 BKB plants (Energy) 29 0 0 0 0 0 0 0 0 0 0 0 0 0 Gas works (Energy) 30 0 0 0 0 0 0 0 0 0 0 0 0 0 Blast furnaces (Energy) 31 0 0 0 0 0 0 0 0 0 0 0 0 0 Charcoal production plants (energy) 32 0 0 0 0 0 0 0 0 0 0 0 0 0 Not elsewhere specified (Energy) 33 0 0 0 0 0 0 0 0 0 0 0 0 0 Distribution losses 34 0 0 0 0 0 0 0 0 0 0 0 0 0 Total final consumption 35 0 0 0 0 0 0 0 0 0 0 0 0 0 Final energy consumption 36 0 0 0 0 0 0 0 0 0 0 0 0 0 Industry sector 37 0 0 0 0 0 0 0 0 0 0 0 0 0 Iron and steel 38 0 0 0 0 0 0 0 0 0 0 0 0 0 Chemical and petrochemical 39 0 0 0 0 0 0 0 0 0 0 0 0 0 Non-ferrous metals 40 0 0 0 0 0 0 0 0 0 0 0 0 0 Non-metallic minerals 41 0 0 0 0 0 0 0 0 0 0 0 0 0 Transport equipment 42 0 0 0 0 0 0 0 0 0 0 0 0 0 Machinery 43 0 0 0 0 0 0 0 0 0 0 0 0 0 Mining and quarrying 44 0 0 0 0 0 0 0 0 0 0 0 0 0 Food, beverages and tobacco 45 0 0 0 0 0 0 0 0 0 0 0 0 0 Paper, pulp and printing 46 0 0 0 0 0 0 0 0 0 0 0 0 0 Wood and wood products 47 0 0 0 0 0 0 0 0 0 0 0 0 0 Construction 48 0 0 0 0 0 0 0 0 0 0 0 0 0 Textiles and leather 49 0 0 0 0 0 0 0 0 0 0 0 0 0 Not elsewhere specified (Industry) 50 0 0 0 0 0 0 0 0 0 0 0 0 0 Transport sector 51 0 0 0 0 0 0 0 0 0 0 0 0 0 Rail 52 0 0 0 0 0 0 0 0 0 0 0 0 0 Road 53 0 0 0 0 0 0 0 0 0 0 0 0 0 Domestic navigation 54 0 0 0 0 0 0 0 0 0 0 0 0 0 Not elsewhere specified (Transport) 55 0 0 0 0 0 0 0 0 0 0 0 0 0 Other sectors 56 0 0 0 0 0 0 0 0 0 0 0 0 0 Commercial and public services 57 0 0 0 0 0 0 0 0 0 0 0 0 0 Residential 58 0 0 0 0 0 0 0 0 0 0 0 0 0 Agriculture/Forestry 59 0 0 0 0 0 0 0 0 0 0 0 0 0 Fishing 60 0 0 0 0 0 0 0 0 0 0 0 0 0 Not elsewhere specified (Other) 61 0 0 0 0 0 0 0 0 0 0 0 0 0 Rows 8 to 13: Corresponding to the electricity generation and heat output reported in Table 1. Columns A and B: Only report direct use of geothermal and solar thermal.
TABLE 3. TECHNICAL CHARACTERISTICS OF INSTALLATIONS AT THE END OF THE YEAR 2016 (or other data: ) Unit = MWe ELECTRICAL CAPACITY NET MAXIMUM CAPACITY CLASSIFICATION BY TECHNOLOGY A Hydro 1 0 Hydro-1 MW 2 0 Hydro 1-10 MW 3 0 Hydro 10+ MW 4 0 Mixed plants 5 0 Pure pumped storage 6 0 Geothermal 7 0 Solar photovoltaic 8 0 Solar thermal 9 0 Tide, wave and ocean 10 0 Wind 11 0 Industrial waste 12 0 Municipal waste 13 0 Solid biofuels 14 0 Biogases 15 0 Biodiesels 16 0 Other liquid biofuels 17 0 Row 1: This item should be equal to the sum of items 2,3,4,5 and 6. Rows 2, 3, 4: Net of pumping SOLAR COLLECTORS SURFACE Unit = 1000 m² Solar collectors surface (1000m2) 18 0 LIQUID BIOFUELS PLANTS CAPACITY Unit = tonnes/year Biogasoline 19 0 Biodiesels 20 0 Bio jet kerosene 21 0 Other liquid biofuels 22 0 AVERAGE NET CALORIFIC VALUE Unit = kj/kg Biogasoline average net calorific value 23 0 Bioethanol average net calorific value 24 0 Biodiesel average net calorific value 25 0 Bio jet kerosene average net calorific value 26 0 Other liquid biofuels average net calorific value 27 0 Charcoal average net calorific value 28 0
TABLE 4. PRODUCTION OF SOLID BIOFUELS AND BIOGASES Unit = TJ (net) 2016 A Solid biofuels (excluding charcoal) 1 0 Fuelwood, wood residues and by-products 2 0 Wood pellets 3 0 Black liquor 4 0 Bagasse 5 0 Animal waste 6 0 Other vegetal materials and residues 7 0 Biogases from anaerobic fermentation 8 0 Landfill gas 9 0 Sewage sludge gas 10 0 Other biogases from anaerobic fermentation 11 0 Biogases from thermal processes 12 0
YEAR = 2016 TABLE 5. IMPORTS BY COUNTRY OF ORIGIN Unit: Metric tonnes of origin Biogasoline Of which bioethanol Bio jet kerosene Biodiesels Other liquid biofuels Wood pellets A B C D E F Algeria 1 0 0 0 0 0 0 Angola 2 0 0 0 0 0 0 Argentina 3 0 0 0 0 0 0 Armenia 4 0 0 0 0 0 0 Australia 5 0 0 0 0 0 0 Austria 6 0 0 0 0 0 0 Azerbaijan 7 0 0 0 0 0 0 Bahamas 8 0 0 0 0 0 0 Bahrain 9 0 0 0 0 0 0 Belarus 10 0 0 0 0 0 0 Belgium 11 0 0 0 0 0 0 Bosnia and Herzegovina 12 0 0 0 0 0 0 Brazil 13 0 0 0 0 0 0 Brunei Darussalam 14 0 0 0 0 0 0 Bulgaria 15 0 0 0 0 0 0 Cameroon 16 0 0 0 0 0 0 Canada 17 0 0 0 0 0 0 Chile 18 0 0 0 0 0 0 China, People's Republic 19 0 0 0 0 0 0 Colombia 20 0 0 0 0 0 0 Congo 21 0 0 0 0 0 0 Congo, Democratic Republic 22 0 0 0 0 0 0 Croatia 23 0 0 0 0 0 0 Cyprus 24 0 0 0 0 0 0 Czech Republic 25 0 0 0 0 0 0 Denmark 26 0 0 0 0 0 0 Ecuador 27 0 0 0 0 0 0 Egypt 28 0 0 0 0 0 0 Estonia 29 0 0 0 0 0 0 Finland 30 0 0 0 0 0 0 Former Yugoslav Republic of Macedonia 31 0 0 0 0 0 0 France 32 0 0 0 0 0 0 Gabon 33 0 0 0 0 0 0 Georgia 34 0 0 0 0 0 0 Germany 35 0 0 0 0 0 0 Greece 36 0 0 0 0 0 0 Hong Kong, China 37 0 0 0 0 0 0 Hungary 38 0 0 0 0 0 0 Iceland 39 0 0 0 0 0 0 India 40 0 0 0 0 0 0 Indonesia 41 0 0 0 0 0 0 Iran, Islamic Republic 42 0 0 0 0 0 0 Iraq 43 0 0 0 0 0 0 Ireland 44 0 0 0 0 0 0 Israel 45 0 0 0 0 0 0 Italy 46 0 0 0 0 0 0 Japan 47 0 0 0 0 0 0 Kazakhstan 48 0 0 0 0 0 0 Korea 49 0 0 0 0 0 0 Kuwait 50 0 0 0 0 0 0 Kyrgyzstan 51 0 0 0 0 0 0 Latvia 52 0 0 0 0 0 0 Libya 53 0 0 0 0 0 0 Lithuania 54 0 0 0 0 0 0 Luxembourg 55 0 0 0 0 0 0 Malaysia 56 0 0 0 0 0 0 Malta 57 0 0 0 0 0 0 Mexico 58 0 0 0 0 0 0 Moldova, Republic 59 0 0 0 0 0 0 Montenegro 60 0 0 0 0 0 0 Netherlands 61 0 0 0 0 0 0 Netherlands Antilles 62 0 0 0 0 0 0 New Zealand 63 0 0 0 0 0 0 Nigeria 64 0 0 0 0 0 0 Norway 65 0 0 0 0 0 0 Oman 66 0 0 0 0 0 0 Other Africa 67 0 0 0 0 0 0 Other Asia Oceania 68 0 0 0 0 0 0 Other Europe 69 0 0 0 0 0 0 Other Former Soviet Union 70 0 0 0 0 0 0 Other Former Yugoslavia 71 0 0 0 0 0 0 Other Near and Middle East 72 0 0 0 0 0 0 Other Non-OECD Americas 73 0 0 0 0 0 0 Papua New Guinea 74 0 0 0 0 0 0 Peru 75 0 0 0 0 0 0 Poland 76 0 0 0 0 0 0 Portugal 77 0 0 0 0 0 0 Qatar 78 0 0 0 0 0 0 Romania 79 0 0 0 0 0 0 Russian Federation 80 0 0 0 0 0 0 Saudi Arabia 81 0 0 0 0 0 0 Serbia 82 0 0 0 0 0 0 Singapore 83 0 0 0 0 0 0 Slovak Republic 84 0 0 0 0 0 0 Slovenia 85 0 0 0 0 0 0 Spain 86 0 0 0 0 0 0 Sweden 87 0 0 0 0 0 0 Switzerland 88 0 0 0 0 0 0 Syrian Arab Republic 89 0 0 0 0 0 0 Tajikistan 90 0 0 0 0 0 0 Trinidad and Tobago 91 0 0 0 0 0 0 Tunisia 92 0 0 0 0 0 0 Turkey 93 0 0 0 0 0 0 Turkmenistan 94 0 0 0 0 0 0 Ukraine 95 0 0 0 0 0 0 United Arab Emirates 96 0 0 0 0 0 0 United Kingdom 97 0 0 0 0 0 0 United States 98 0 0 0 0 0 0 Uzbekistan 99 0 0 0 0 0 0 Venezuela 100 0 0 0 0 0 0 Viet Nam 101 0 0 0 0 0 0 Yemen 102 0 0 0 0 0 0 Not elsewhere specified 103 0 0 0 0 0 0 Total Imports (Trade) 104 0 0 0 0 0 0 Rows 67 to 73, and 103: Please specify on the remarks page. Row 104: Must be carried over to Total Imports on Table 2 (row 2).
TABLE = 6 YEAR = 2016 TABLE 6. EXPORTS BY COUNTRY OF DESTINATION Unit: Metric tonnes of Destination Biogasoline Of which bioethanol Bio jet kerosene Biodiesels Other liquid biofuels Wood pellets A B C D E F Algeria 1 0 0 0 0 0 0 Argentina 2 0 0 0 0 0 0 Armenia 3 0 0 0 0 0 0 Australia 4 0 0 0 0 0 0 Austria 5 0 0 0 0 0 0 Azerbaijan 6 0 0 0 0 0 0 Belarus 7 0 0 0 0 0 0 Belgium 8 0 0 0 0 0 0 Bosnia and Herzegovina 9 0 0 0 0 0 0 Brazil 10 0 0 0 0 0 0 Bulgaria 11 0 0 0 0 0 0 Canada 12 0 0 0 0 0 0 Chile 13 0 0 0 0 0 0 China, People's Republic 14 0 0 0 0 0 0 Chinese Taipei 15 0 0 0 0 0 0 Colombia 16 0 0 0 0 0 0 Croatia 17 0 0 0 0 0 0 Cyprus 18 0 0 0 0 0 0 Czech Republic 19 0 0 0 0 0 0 Denmark 20 0 0 0 0 0 0 Egypt 21 0 0 0 0 0 0 Estonia 22 0 0 0 0 0 0 Finland 23 0 0 0 0 0 0 Former Yugoslav Republic of Macedonia 24 0 0 0 0 0 0 France 25 0 0 0 0 0 0 Georgia 26 0 0 0 0 0 0 Germany 27 0 0 0 0 0 0 Greece 28 0 0 0 0 0 0 Hong Kong, China 29 0 0 0 0 0 0 Hungary 30 0 0 0 0 0 0 Iceland 31 0 0 0 0 0 0 India 32 0 0 0 0 0 0 Indonesia 33 0 0 0 0 0 0 Iran, Islamic Republic 34 0 0 0 0 0 0 Iraq 35 0 0 0 0 0 0 Ireland 36 0 0 0 0 0 0 Israel 37 0 0 0 0 0 0 Italy 38 0 0 0 0 0 0 Japan 39 0 0 0 0 0 0 Kazakhstan 40 0 0 0 0 0 0 Korea 41 0 0 0 0 0 0 Kuwait 42 0 0 0 0 0 0 Kyrgyzstan 43 0 0 0 0 0 0 Latvia 44 0 0 0 0 0 0 Lebanon 45 0 0 0 0 0 0 Libya 46 0 0 0 0 0 0 Lithuania 47 0 0 0 0 0 0 Luxembourg 48 0 0 0 0 0 0 Malaysia 49 0 0 0 0 0 0 Malta 50 0 0 0 0 0 0 Mexico 51 0 0 0 0 0 0 Moldova, Republic 52 0 0 0 0 0 0 Montenegro 53 0 0 0 0 0 0 Netherlands 54 0 0 0 0 0 0 Netherlands Antilles 55 0 0 0 0 0 0 New Zealand 56 0 0 0 0 0 0 Nigeria 57 0 0 0 0 0 0 Norway 58 0 0 0 0 0 0 Other Africa 59 0 0 0 0 0 0 Other Asia Oceania 60 0 0 0 0 0 0 Other Europe 61 0 0 0 0 0 0 Other Former Soviet Union 62 0 0 0 0 0 0 Other Former Yugoslavia 63 0 0 0 0 0 0 Other Near and Middle East 64 0 0 0 0 0 0 Other Non-OECD Americas 65 0 0 0 0 0 0 Pakistan 66 0 0 0 0 0 0 Philippines 67 0 0 0 0 0 0 Poland 68 0 0 0 0 0 0 Portugal 69 0 0 0 0 0 0 Qatar 70 0 0 0 0 0 0 Romania 71 0 0 0 0 0 0 Russian Federation 72 0 0 0 0 0 0 Saudi Arabia 73 0 0 0 0 0 0 Serbia 74 0 0 0 0 0 0 Singapore 75 0 0 0 0 0 0 Slovak Republic 76 0 0 0 0 0 0 Slovenia 77 0 0 0 0 0 0 South Africa 78 0 0 0 0 0 0 Spain 79 0 0 0 0 0 0 Sweden 80 0 0 0 0 0 0 Switzerland 81 0 0 0 0 0 0 Syrian Arab Republic 82 0 0 0 0 0 0 Tajikistan 83 0 0 0 0 0 0 Thailand 84 0 0 0 0 0 0 Trinidad and Tobago 85 0 0 0 0 0 0 Tunisia 86 0 0 0 0 0 0 Turkey 87 0 0 0 0 0 0 Turkmenistan 88 0 0 0 0 0 0 Ukraine 89 0 0 0 0 0 0 United Kingdom 90 0 0 0 0 0 0 United States 91 0 0 0 0 0 0 Uzbekistan 92 0 0 0 0 0 0 Venezuela 93 0 0 0 0 0 0 Viet Nam 94 0 0 0 0 0 0 Not elsewhere specified 95 0 0 0 0 0 0 Total Exports (Trade) 96 0 0 0 0 0 0 Rows 59 to 65, 95: Please specify on the remarks page. Row 96: Must be carried over to Total Exports on Table 2 (row 3).
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