Data - POLES
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| Corresponding documentation | |
|---|---|
| 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 |
Synthetic view of POLES data sources:
Macro-economic drivers
Population
- UN (2015, medium fertility)
GDP
- World Bank (2015), EC (2015), IMF (2016), OECD (2013, see also Dellink et al. 2014)
Value added
- World Bank (2015); projection endogenous
Mobility, vehicles, households, tons of steel
- Sectoral databases; projections endogenous
Energy resources
Oil, gas, coal
- BGR (2014), USGS (2013), WEC (2013), sectoral databases
Uranium
- OECD (2014)
Biomass
- EU: Green-X model1
- Non-EU: GLOBIOM model
Hydro
- Enerdata (2015)
Wind, solar
- NREL (2013), Pietzcker (2014)
Energy balances
Reserves, production
- BP (2015), Enerdata (2015), IEA (2015); projections endogenous
Demand by sector and fuel, transformation (including. power), losses
- Enerdata (2015), IEA (2015); projections endogenous
Energy prices
International energy prices, prices to consumer
- EIA (2016), Enerdata (2015), IEA (2015); projections endogenous
GHG emissions
Energy CO2
- Derived from energy balances; endogenous
Other GHG Annex 1
- UNFCCC (2015); projections endogenous, and derived from data from GLOBIOM
Other GHG Non-Annex 1 (excl. LULUCF)
- EDGAREC-JRC 2015; projections endogenous, and derived from data from GLOBIOM
LULUCF Non-Annex 1
- FAO (2015); projections endogenous, and derived from data from GLOBIOM
Technology costs
The model's learning curves based on literature, including but not only: EC JRC (2014), IEA Technology Roadmaps, WEC (2013), TECHPOL database (developed in several European research projects: SAPIENT, SAPIENTIA, CASCADE MINTS - see for instance: [1])