Title of article
Implications of technological learning on the prospects for renewable energy technologies in Europe
Author/Authors
Martine A. Uyterlinde، نويسنده , , Martin Junginger ، نويسنده , , Hage J. de Vries، نويسنده , , Andre P.C. Faaij، نويسنده , , Wim C. Turkenburg، نويسنده ,
Issue Information
ماهنامه با شماره پیاپی سال 2007
Pages
16
From page
4072
To page
4087
Abstract
The objective of this article is to examine the consequences of technological developments on the market diffusion of different renewable electricity technologies in the EU-25 until 2020, using a market simulation model (ADMIRE REBUS). It is assumed that from 2012 a harmonized trading system will be implemented, and a target of 24% renewable electricity (RES-E) in 2020 is set and met. By comparing optimistic and pessimistic endogenous technological learning scenarios, it is found that diffusion of onshore wind energy is relatively robust, regardless of technological development, but diffusion rates of offshore wind energy and biomass gasification greatly depend on their technological development. Competition between these two options and (existing) biomass combustion options largely determines the overall costs of electricity from renewables and the choice of technologies for the individual member countries. In the optimistic scenario, in 2020 the market price for RES-E is 1 €ct/kWh lower than in the pessimistic scenario (about 7 vs. 8 €ct/kWh). As a result, total RES-E production costs are 19% lower, and total governmental expenditures for RES-market stimulation are 30% lower in the optimistic scenario.
Keywords
Technological learning , Renewable electricity , Market simulation
Journal title
Energy Policy
Serial Year
2007
Journal title
Energy Policy
Record number
971732
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