Assessment versions

Published (reviewed and quality assured)

• No published assessments

Rationale

Justification for indicator selection

The energy consumption in the service sector consists mainly of energy consumption in buildings. The indicator tracks progress made in reducing the energy consumption per unit of activity (measured in terms of value added or number of employees) in the service sector in EU-27. Reducing the energy intensity of the service sector (as defined above), will have a positive impact on the environment due to reduced environmental pressures associated with the production of the energy input.  The indicator is complementary to ENER 21 and ENER 16

Scientific references

• No rationale references available

Indicator definition

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)

Units

Energy consumption: Mtoe

Unit consumption par employ: ton/employe

Energy intensity: koe/€2000

Policy context and targets

Context description

The indicator tracks progress made in reducing the energy consumption per unit of activity in the service sector in EU-27. Specific policies are not available for this sector.

Targets

No targets have been specified

Related policy documents

No related policy documents have been specified

Methodology

Methodology for indicator calculation

• Methodology of calculation : energy consumption at normal climate
  
  E =  En x (1-K)+ En x K x (DD/DDn)
    or  En = E x 1/ (1-K x (1-DD/DDn))
  with  K=  r x a   with  r = heating share for normal year  and   a = share of heating dependant on degree days (e.g. 90%)

Geographical coverage:
The Eurostat database covers all 27 EU member states plus Iceland, Norway, Switzerland, Croatia and Turkey. Odyssee database covers EU-27 plus Norway and Croatia.

Temporal coverage:
2000-2009 for energy intensities and unit energy consumption (due to non available or reliable data for new EU countries)

Methodology and frequency of data collection:
Data collected annually in the framework of the ODYSSEE MURE project

Methodology of data manipulation:

• Change in tertiary final energy consumption per person: (final energy consumption per country2007 /population per country2007) / (final energy consumption per country1990 /population per country1990) – 1

• Energy (electricity) intensity : energy (electricity) consumption / value added in euro, at constant prices of 2000   
• Energy (electricity) unit consumption: energy (electricity) consumption / number of employees

Methodology for gap filling

• Electricity consumption : source ODYSSEE data base sum of 27 countries as there is a discontinuity in Eurostat in 2006; for countries for which there are data gaps in ODYSSEE, the missing values are interpolated using Eurostat data; the growth rate of Eurostat is applied to the values provided by the country to make the interpolation.

Methodology references

No methodology references available.

Data specifications

EEA data references

• No datasets have been specified here.

External data references

• Population
• Statistics on population
• Basic energy statistics
• ODYSSEE database (dataset URL is not available)

Data sources in latest figures

Uncertainties

Methodology uncertainty

No uncertainty has been specified

Data sets uncertainty

Not all data is available for all countries. Availability for data on years earlier than 2007, is higher.
Odyssee data is recently updated (August 2009)

The reliability of total services energy consumption and related CO2 emissions is reliable due to trustworthy statistics underlying it. Division of the energy consumption among activities (heating / cooking / cooling  etc.) is less accurate, because it is based on assumptions.

Rationale uncertainty

No uncertainty has been specified