Policy relevant lessons from research on renewable energy auctions

Renewable energy auctions have emerged globally as a primary tool for promoting electricity from renewable energy sources (RES-E) by awarding operational support to projects that bid the lowest level of required support. While their widespread adoption reflects perceived efficiency advantages over other support mechanisms, such as administratively-set tariffs, the effectiveness of RES-E auctions in meeting policy objectives is highly sensitive to specific design elements. This paper synthesizes policy-relevant insights from extensive research in the EU-funded AURES II project, which has analysed renewable energy auctions in diverse contexts with a focus on European countries. Key findings from the AURES II project address how auction design influences outcomes across multiple criteria, such as cost-effectiveness and project realisation rates. The paper highlights both successes and challenges in auction implementation, emphasizing the common trade-offs between policy objectives. Results underscore that well-designed auctions can promote RES-E efficiently, but also caution that suboptimal design can lead to unintended outcomes. Based on these findings, the paper offers forward-looking recommendations to guide policymakers in optimizing auction design to balance policy goals and enhance renewable energy deployment. • An analysis of renewable energy auctions with a focus on European countries is provided. • The paper highlights both successes and challenges in auction implementation. • Common trade-offs between policy objectives are emphasised. • Well-designed auctions can promote renewable electricity efficiently, but suboptimal design leads to unintended outcomes. • The article offers forward-looking recommendations to guide policymakers in optimizing auction design.

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Publication Details

Journal
Energy Policy
Published
2025-04-19
DOI
https://doi.org/10.1016/j.enpol.2025.114624
Citations
3
Primary Topic
Electric Power System Optimization
Type
article
Field-Weighted Citation Impact
2.19

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article

Policy relevant lessons from research on renewable energy auctions

Vasilios Anatolitis, Oscar Fitch-Roy, László Szabó, Lena Kitzing et al.
3 citations
Energy Policy
Electric Power System Optimization
2.19
article

Policy relevant lessons from research on renewable energy auctions

Vasilios Anatolitis, Oscar Fitch-Roy, László Szabó, Lena Kitzing, Pablo del Rı́o
article en
3 citations

Abstract

Renewable energy auctions have emerged globally as a primary tool for promoting electricity from renewable energy sources (RES-E) by awarding operational support to projects that bid the lowest level of required support. While their widespread adoption reflects perceived efficiency advantages over other support mechanisms, such as administratively-set tariffs, the effectiveness of RES-E auctions in meeting policy objectives is highly sensitive to specific design elements. This paper synthesizes policy-relevant insights from extensive research in the EU-funded AURES II project, which has analysed renewable energy auctions in diverse contexts with a focus on European countries. Key findings from the AURES II project address how auction design influences outcomes across multiple criteria, such as cost-effectiveness and project realisation rates. The paper highlights both successes and challenges in auction implementation, emphasizing the common trade-offs between policy objectives. Results underscore that well-designed auctions can promote RES-E efficiently, but also caution that suboptimal design can lead to unintended outcomes. Based on these findings, the paper offers forward-looking recommendations to guide policymakers in optimizing auction design to balance policy goals and enhance renewable energy deployment. • An analysis of renewable energy auctions with a focus on European countries is provided. • The paper highlights both successes and challenges in auction implementation. • Common trade-offs between policy objectives are emphasised. • Well-designed auctions can promote renewable electricity efficiently, but suboptimal design leads to unintended outcomes. • The article offers forward-looking recommendations to guide policymakers in optimizing auction design.

Energy PolicyVol. 203
Consejo Superior de Investigaciones Científicas (ES), Corvinus University of Budapest (HU), University of Exeter (GB), Fraunhofer Institute for Systems and Innovation Research (DE), Instituto de Políticas y Bienes Públicos (ES), Technical University of Denmark (DK)
European Commission, Horizon 2020 Framework Programme, Horizon 2020
Affordable and clean energy
Openalex Percentile: Top 13%
Electric Power System Optimization
2.19
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