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External Data Spec

ODYSSEE database (dataset URL is not available)

External Data Spec Published 09 Sep 2010
1 min read
The data that underpin the EEA indicator and EEA figures is password protected. Please contact the organisation in order to get access to data. ODYSSEE MURE is a project coordinated by ADEME and supported under the Intelligent Energy Europe Programme of the European Commission. This project gathers representatives such as energy Agencies from the 28 EU Member States plus Norway and it aims at monitoring energy efficiency trends and policy measures in Europe.
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Enerdata Research Service
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http://www.indicators.odyssee-mure.eu/energy-efficiency-database.html
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Home > ODYSSEE database

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Online database of reference on energy efficiency monitoring for Europe (28 European countries plus Norway).

ODYSSEE data series are macro-indicators on energy consumption by detailed sectors, prices, CO2 emissions, and related drivers of consumption per sector.

Six sectors are considered in the Odyssee database:

  • Industry
  • Transport
  • Households
  • Services
  • Transformation
  • Macro data

Related content

Interactive charts

Data Visualization Cooling energy consumption
Data Visualization Drivers of change in annual average energy consumption per household
Data Visualization Energy efficiency index (ODEX) for final consumers in the EU
Data Visualization Energy consumption of electrical appliances
Data Visualization Odyssee energy efficiency index (ODEX)
Data Visualization Drivers for change in energy consumption per dwelling in households
Data Visualization Energy consumption for electrical appliances in households
Data Visualization Energy consumption for heating in households
Data Visualization Household energy consumption per dwelling by end-use
Data Visualization Energy consumption for cooling in households
Data Visualization The effect of building codes in the EU
Data Visualization Household energy consumption for space heating per m2
Data Visualization Compounded annual change of household energy consumption for space heating per m2
Data Visualization Energy efficiency gain from building standards of new dwellings
Data Visualization Trends in household energy consumption for cooling per m2

Produced figures

Figure Household energy consumption for cooling per m2 (2010) The figure shows the energy consumption for cooling per m2 for selected countries
Figure
Archived
Trends in household energy consumption for cooling per m2 The left figure shows the energy consumption for air conditioning per m2 for the stock average The right figure shows the reversed trends with an increasing electricity consumption of air conditioning.
Figure Household energy consumption for space heating per m2 (2010, climate corrected) The figure shows the households energy consumption for space heating per m² in 2010
Figure Trends in household energy consumption for space heating per m2 (climate corrected) The figure shows the annual energy consumption per m² for space heating
Figure Drivers of the change in average annual energy consumption per household in the EU-27 between 1990 and 2010 The energy consumption of households is decomposed in different explanatory effects: change in average dwelling size, increasing number of appliances (more electrical appliances) and central heating diffusion, energy efficiency improvement (as measured from ODEX) and change in behaviour related to more confort.
Figure
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Energy efficiency gain from building standards of new buildings in the EU-27 The figure shows an estimate of the impact standards on new buildings had on the average unit consumption for space heating of the dwelling stock for the EU as a whole. New dwellings built in 2010 consume “in theory” ( i.e. according to the standards) around 40% less than in 1990.
Figure
Archived
Odyssee ODEX - energy efficiency index (EU-27) ODEX is an aggregated energy efficiency index

Used in indicators

Indicator Specification
Archived
Progress on energy efficiency in Europe The ODEX index measures progress in energy efficiency by major sector (industry, transport, households and services), as well as for all final consumers. For each sector, the index is calculated as a weighted average of sub-sectoral indices of progress in energy efficiency, observed over a given period. Sub-sectors refer to industrial or service sector branches or end-uses for households or transport modes. The sub-sectoral indices are calculated from variations of unit energy consumption indicators, measured in physical units (for instance tons of steel, tonne-km for transport of goods, kWh/appliance, m² for offices, etc.). ODEX provides a better 'proxy' of energy efficiency progress from a policy evaluation viewpoint than the more commonly used monetary indicators.
Indicator Specification
Archived
Progress on energy efficiency in Europe The ODEX index (Fig.1) measures the energy efficiency progress by main sector (industry, transport, households) and for the whole economy (all final consumers). For each sector, the index is calculated as a weighted average of sub-sectoral indices of energy efficiency progress; sub-sectors being industrial or service sector branches or end-uses for households or transport modes. The sub-sectoral indices are calculated from variations of unit energy consumption indicators, measured in physical units and selected so as to provide the best “proxy” of energy efficiency progress, from a policy evaluation viewpoint. The fact that indices are used enables to combine different units for a given sector, for instance for households kWh/appliance, koe/m2, tep/dwelling… The weight used to get the weighted aggregate is the share of each sub- sector in the total energy consumption of the sub –sectors considered in the calculation.  A value of  ODEX equal to 90 means a 10% energy efficiency gain. The variation of the specific consumption of space heating per dwelling linked to building standards is modelled as the change brought about by the introduction of new dwellings with a better insulation than the whole stock since a base year (e.g. 1990), assuming that the unit consumption of new dwellings is equal to the theoretical value implied by thermal regulations (Fig.2). This effect is calculated as follow: ∆UCnew t = (UCnew t * nbrlpn t + ∆UCnew t-1 * (nbrlpr t – nbrlpn t )) / nbrlpr t with:  ∆UCnew t=0 = ∆UCnew t=1990 = UC t=1990 nbrlpr t : stock of dwellings at year t nbrlpn t : the volume of construction at year t   UC t : unit consumption per dwelling for space heating at year t  
Indicator Specification
Archived
Energy efficiency and energy consumption in the household sector Household energy consumption, covers all energy consumed in households for space heating, water heating, cooking and electricity.    Figures are reported either aggregated or disaggregated according to the end use categories named and as a total figure or per dwelling or m 2 of housing area. Climate fluctuates from one year to another. When the data is flagged as climate corrected, the data is normalized to reflect similar weather conditions. Consumption in useful energy per degree-day corrects for difference in heating equipment efficiency (which varies according to the fuel  uses) and climate.   Energy efficiency indices (ODEX) can be defined as a ratio between the actual energy consumption of the sector in year t and the sum of the implied energy consumption from each underlying sub-sector/ end use in year t (based on the unit consumption of the sub-sector with a moving reference year. The evaluation of energy savings in household is carried out at the level of three end uses (heating, water heating and cooking) and five large appliances (refrigerators, freezers, washing machines, dishwashers and TVs). For each end use, the following indicators are used to measure efficiency progress: heating — unit consumption per m 2 per dwelling equivalent to central heating at normal climate; water heating — unit consumption per dwelling with water heating; and cooking — unit consumption per dwelling. The average energy consumption per m 2 per dwelling equivalent to central heating is used to leave out the impact of the diffusion of central heating. The effect of (heating) behaviour was estimated by assuming that technical progress cannot be reversed Household CO 2 -emissions covers the direct CO 2 emitted by fuel combustion.
Indicator Specification
Archived
Energy efficiency and energy consumption in industry Specific consumption per tonne produced : Energy consumption divided by the physical production (for steel, cement , paper) Energy efficiency index of industry (ODEX) is a weighted average of the specific consumption index of 10 manufacturing branches; the weight being the share of each branch in the sum of the energy consumption of these branches in year t and the sum of the implied energy consumption from each underlying industrial branches in year t (based on the unit consumption of the sub-sector with a moving reference year). CO2 emissions from energy uses split between direct emissions and indirect emissions: Direct emissions refer to emissions from the combustion of coal, gas and oil products (source: EEA inventories 2009); Indirect emissions (or electricity related) refer to emissions in the power sector corresponding to the electricity consumption in the sector       Indirect CO2 = E ind/E tot * CO2 ie with E : electricity consumption (ind for industry, tot for all sectors) (source ODYSSEE database); CO2 ie : CO2 emissions from public electricity and heat production ( source EEA, inventories 2009)
Indicator Specification
Archived
Energy efficiency and energy consumption in the transport sector Energy efficiency progress (Figure 1) is measured from the ODEX indicator. This index aggregates the unit consumption trends for each transport mode in a single indicator for the whole sector. It is calculated at the level of 8 modes or vehicle types: cars, trucks, light vehicles, motorcycles, buses, total air transport, rail, and water transport. For cars, energy efficiency is measured by the specific consumption, expressed in litre/100km; for the transport of goods (trucks and light vehicles), the unit consumption per ton-km is used, as the main activity is to move goods; for other modes of transport various indicators of unit consumption are used, taking for each mode the most relevant indicator given the statistics available: toe/passenger for air, goe/pass-km for passenger rail, goe/ton-km for transport of goods by rail and water, toe per vehicle for motorcycles and buses.  The variation of the weighted index of the unit consumption by mode between t-1 and t is defined as follows It /It -1= 1/( It -1/It) with : energy share EC i  (consumption of each mode i   in total transport consumption); unit consumption index UC i (ratio : consumption related to traffic or specific consumption in l/100 km for cars); t refers the current year, t-1 to the previous year.   The value at year t can be derived from the value at the previous year by reversing the calculation:   It /It -1= 1/( It -1/It)   ODEX is set at 100 for a reference year and successive values are then derived for each year t by the value of ODEX at year t-1 multiplied by It /It -1. The energy consumption variation of passenger transport in Figure 4 is broken down into 3 explanatory effects: activity effect (increase in traffic), modal shift effect (from private transport to public transport modes) and energy savings (change in specific consumption per unit of traffic). A positive “modal shift effect” means that the share of public passenger transport in passenger traffic is decreasing (shift from public transport to cars)  or the road in total freight traffic is increasing (shift from rail-water to road): this offsets energy savings. CO2 emissions for total transport are split into 2 explanatory effects (Figure 6): an activity effect due to an increase in traffic of passengers and freight, CO2 savings due to the reduction in the specific emissions of vehicles per unit of traffic.
Indicator Specification
Archived
Energy efficiency and energy consumption in industry Specific consumption per tonne produced : Energy consumption divided by the physical production (for steel, cement , paper) Energy efficiency index of industry (ODEX) is a weighted average of the specific consumption index of 10 manufacturing branches; the weight being the share of each branch in the sum of the energy consumption of these branches in year t and the sum of the implied energy consumption from each underlying industrial branches in year t (based on the unit consumption of the sub-sector with a moving reference year). The 10 branches considered in the calculation are: chemical, steel, non ferrous, cement, other non metallic, paper, food, machinery, transport equipment and textile. For steel, cement and paper, energy savings are calculated using specific consumption per tonne produced; for the other branches, the indicator used is the ratio on energy consumption related to production index. The variation of the weighted index of the unit consumption between t-1 and t is defined as follows: It -1/It = SUMi ECi,t *(UCi,t/UCi.t-1) with : energy share EC i  (consumption of each branch i   in total industry consumption); unit consumption index UC i (ratio : consumption related to production index or ratio : consumption related to physical production of steel, cement  and paper) t refers the current year, t-1 to the previous year The value at year t can be derived from the value at the previous year by reversing the calculation:  It /It -1= 1/( It -1/It) ODEX is set at 100 for a reference year and successive values are then derived for each year t by the value of ODEX at year t-1 multiplied by It /It -1 CO 2 emissions from energy uses split between direct emissions and indirect emissions: Direct emissions refer to emissions from the combustion of coal, gas and oil products (source: EEA inventories 2009) Indirect emissions (or electricity related) refer to emissions in the power sector corresponding to the electricity consumption in the sector Indirect CO 2 = E ind/E tot * CO 2 ie with E : electricity consumption (ind for industry, tot for all sectors) (source ODYSSEE database); CO 2 ie : CO 2 emissions from public electricity and heat production ( source EEA, inventories 2009) CO 2 emissions from energy uses split between direct emissions and indirect emissions: Direct emissions refer to emissions from the combustion of coal, gas and oil products (source: EEA inventories 2009); Indirect emissions (or electricity related) refer to emissions in the power sector corresponding to the electricity consumption in the sector       Indirect CO 2 = E ind/E tot * CO 2 ie with E : electricity consumption (ind for industry, tot for all sectors) (source ODYSSEE database); CO 2 ie : CO 2 emissions from public electricity and heat production ( source EEA, inventories 2009)
Indicator Specification
Archived
Energy intensity in the service sector Services energy consumption covers all energy consumed in services for space heating, water heating, cooking and electricity. Energy consumption is corrected from climate to avoid yearly climatic corrections. Unit consumption per employee is the ratio between the energy consumption (total or electricity) and the number of employees (salaries employed in full time) The energy (or electricity) intensity is the ratio between the energy (electricity) consumption and the value added expressed in constant Euros (M€2000)
Indicator Specification
Archived
Energy efficiency and energy consumption in the transport sector Energy efficiency progress (Figure 1) is measured from the ODEX indicator. This index aggregates the unit consumption trends for each transport mode in a single indicator for the whole sector.                          The energy consumption variation of passenger transport in Figure 5 is broken down into 3 explanatory effects: activity effect (increase in traffic), modal shift effect (from private transport to public transport modes) and energy savings (change in specific consumption per unit of traffic). A positive “modal shift effect” means that the share of public passenger transport in passenger traffic is decreasing (shift from public transport to cars)  or the road in total freight traffic is increasing (shift from rail-water to road): this offsets energy savings. CO2 emissions for total transport are split into 2 explanatory effects (Figure 7): an activity effect due to an increase in traffic of passengers and freight, CO2 savings due to the reduction in the specific emissions of vehicles per unit of traffic.
Indicator Specification
Archived
Energy efficiency and energy consumption in the household sector Household energy consumption, covers all energy consumed in households for space heating, water heating, cooking and electricity. Figures are reported either aggregated or disaggregated according to the end use categories named and as a total figure or per dwelling or m2 of housing area. Climate fluctuates from one year to another. When the data is flagged as climate corrected, the data is normalized to reflect similar weather conditions.  Consumption in useful energy per degree-day corrects for difference in heating equipment efficiency (which varies according to the fuel  uses) and climate. Energy efficiency indices (ODEX) can be defined as a ratio between the actual energy consumption of the sector in year t and the sum of the implied energy consumption from each underlying sub-sector/ end use in year t (based on the unit consumption of the sub-sector with a moving reference year. Household CO2-emissions covers the direct CO2 emitted by fuel combustion.  
Indicator Specification
Archived
Electricity consumption, energy efficiency and ownership of household appliances This indicator presents  trends in consumption of electricity in households, and in the efficiency and stock of three key appliances in the EU-28. The use of electricity in households for different types of end uses is shown in figure 1, while figure 2 shows energy consumption, average specific energy consumption (efficiency) and total stock of key household appliances, and trends in total electricity consumption for all appliances in the EU28. 

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