Technological change in energy - POLES
|Model Documentation - POLES|
|Institution|| JRC - Joint Research Centre - European Commission (EC-JRC), Belgium, http://ec.europa.eu/jrc/en/poles.|
main users: - European Commission, JRC
- Universite de Grenoble UPMF, France - Enerdata
Technological change in the various sectors takes place through competition in the new capacity planning ("gap", multinominal logit), which depends on expected utilisation costs of the competing technologies (myopic anticipation, no perfect foresights). Technological change is constrained by the vintage of existing capital stock ("unscrapped consumption") and resource availability. In addition to upgrading possibility, accelerated retirement can be considered in some specific cases (e.g. some coal plants in the power generation sector).
Costs usually consider fixed costs (investment, lifetime, O&M, discount rate) and variable costs (fuel price, efficiency, O&M).
Investment costs can be exogenously set or endogenously simulated through learning curves (1 or 2-factors learning curves) depending on the sector.
It must be noted that the competition also considers, in addition to the cost component, a "reality parameter" that is calibrated (directly in the model or with external procedures) to replicate the historical situation given used cost estimates. This parameter is essential to compensate for imperfect cost estimates or to capture drivers of economic decisions that are poorly or not at all represented in the model (national industrial policy choices, etc..). The model also includes the possibility to test "network effect" for new technologies (accelerated adoption beyond some market share threshold).
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- European Commission (2006). World Energy Technology Outlook 2050: WETO H2. . Brussels, Belgium: European Commission.
- Tobias Wiesenthal, Arnaud Mercier, Burkhard Schade, Hrvoje Petric, Paul Dowling (2012). A model-based assessment of the impact of revitalised R&D investments on the European power sector. Renewable and Sustainable Energy Reviews, 16 (), 105-112. http://dx.doi.org/10.1016/j.rser.2011.07.139
- P. Criqui, S. Mima, P. Menanteau, A. Kitous (2015). Mitigation strategies and energy technology learning: An assessment with the POLES model. Technological Forecasting and Social Change, 90 (), 119-136. http://dx.doi.org/10.1016/j.techfore.2014.05.005