Model scope and methods - POLES

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Model Documentation - POLES

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

POLES (Prospective Outlook on Long-term Energy Systems) is a global recursive dynamic simulation model of the energy system and covers all anthropogenic greenhouse gases emissions.

It allows to simulate a wide range of energy policies, be they on the demand side or on the supply sector. It displays a high regional resolution and sectoral representation, and provide endogenous simulation of all steps of the energy system by vector and sector: final energy demand, transformation (including power generation), trade, primary supply, international and final user prices.

  • The model describes full energy balances for multiple countries and regions covering the whole world, and primary supply for a different geographical disaggregation, as well as energy commodities trade and trade routes.
  • It operates on a yearly time step and benefits from frequently updated databases, allowing it to capture the most recent developments of energy markets in various countries / regions.
  • Additional modules allow covering GHG emissions from industrial sources; agriculture and land-use emissions are derived from linkages with specialized models.

<xr id="fig:POLES_1"/> below gives a schematic view of the POLES model. The red boxes are the main assumptions, calibration and scenario settings; the green box represents the energy balance resolution by country / region and the blue boxes represent the trade and key outputs (demand, supply, emissions).

<figure id="fig:POLES_1">

General scheme of POLES

</figure>

Key input assumptions are population and growth of GDP per capita. The economic activity is then derived by the model at sectoral level, depending on economic growth and energy prices: economic sector value added, passengers and goods mobility, building stocks, etc..

Other critical assumptions are energy resources by type and localization.