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  4. How to design efficient renewable energy auctions? Empirical insights from Europe
 
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2022
Journal Article
Title

How to design efficient renewable energy auctions? Empirical insights from Europe

Abstract
An increasing number of countries use auctions to allocate support for renewable energies. One major objective of policymakers when designing auctions is support cost efficiency, i.e., achieving low awarded prices. Based on a holistic database with auction outcomes from Europe covering the years 2012-2020, we conduct a fixed effects panel data regression to assess the effects of several auction design elements on the awarded prices. According to our results, policymakers aiming for low prices in renewable energy auctions should avoid restricting auctions to small-scale projects, implement ceiling prices, and ensure high levels of competition. Multi-technology auctions can also lead to higher efficiency, while quotas should be avoided. While PV tends to achieve lower prices in auctions restricted to small-scale projects, onshore wind performs better in auctions open to large-scale projects. Feed-in premia, multi-criteria auctions and allowing bidders to deviate from their awarded project capacity show no significant impact. The introduction of financial prequalification requirements and the length of the realisation period should be chosen carefully, as their effects are interrelated. While our results for individual design elements are largely in line with existing literature, we are able to produce new insights on the interdependencies between various auction design elements.
Author(s)
Anatolitis, Vasilios  orcid-logo
Fraunhofer-Institut für System- und Innovationsforschung ISI  
Azanbayev, Alina
Fraunhofer-Institut für System- und Innovationsforschung ISI  
Fleck, Ann-Katrin
Takon GmbH
Journal
Energy policy  
Open Access
File(s)
Download (691.94 KB)
Rights
CC BY
DOI
10.1016/j.enpol.2022.112982
10.24406/publica-r-417687
Additional link
Full text
Language
English
Fraunhofer-Institut für System- und Innovationsforschung ISI  
Keyword(s)
  • Renewable energy auctions

  • Panel data analysis

  • Auction design elements

  • Efficiency

  • Support costs

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