Energy demand - POLES: Difference between revisions
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Revision as of 10:53, 17 August 2016
Corresponding documentation | |
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Previous versions | |
Model information | |
Model link | |
Institution | JRC - Joint Research Centre - European Commission (EC-JRC), Belgium, http://ec.europa.eu/jrc/en/. |
Solution concept | Partial equilibrium (price elastic demand) |
Solution method | SimulationRecursive simulation |
Anticipation | Myopic |
The energy demand in POLES is endogenously derived from the following sector-specific drivers: economic activity, end-user energy prices and policies, including time lagged effects. The modeling also considers vintage and fuel / technology subsitution constraints. All economic activity variables are endogenously derived from GDP per capita and energy prices.
The model differentiates the following sectors:
- Agriculture (economic activity: value added).
- Industry (value added and physical production), with 4 sub-sectors: Steel, Chemistry, Non-metalic minerals and Other industry; energy uses and non-energy uses of fuels are differentiated.
- Services (value added): substituable energy and captive electricity needs are differentiated
- Residential (surface, occupation rate): substituable energy and captive electricity needs are differentiated
- Transport (mobility): the model differentiates passengers and goods transport, and various transport types: car, motorbike, light duty vehicle, heavy vehicle, train, bus, plane, inland water. Road vehicles are differentiated by engine (ICE, electric, hybrids, fuel cell) and fuel (oil products, biofuels, electricity, hydrogen, gas).
- In addition, own-energy uses and losses in transformation (power, synthetic fuels, ..) are explicitely considered.
Historical data on energy demand, activity variables and fuel prices are updated at least once a year from various sources. Energy demand and prices come mostly from: Eurostat, IEA, Enerdata. Energy demand data can be available up to year-1 (for instance in 2013 some data are available up to 2012).