Implications of technological learning on the prospects for renewable energy technologies in Europe

Publication date

2007

Authors

Uyterlinde, M.A.
Junginger, H.M.ORCID 0000-0002-5010-2051ISNI 0000000389848632
de Vries, H.J.
Faaij, AndréISNI 0000000397196996
Turkenburg, WimISNI 0000000023313975

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Document Type

Article
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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

SDG 7 - Affordable and Clean Energy

Citation

Uyterlinde, M A, Junginger, H M, de Vries, H J, Faaij, A P C & Turkenburg, W C 2007, 'Implications of technological learning on the prospects for renewable energy technologies in Europe', Energy Policy, vol. 35, no. 8, pp. 4072-4087.