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Evaluating the German PV auction program: The secrets of individual bids revealed

  • Auctions have become the primary instrument for promoting renewable energy around the world. However, the data published on such auctions are typically limited to aggregated information (e.g., total awarded capacity, average payments). These data constraints hinder the evaluation of realisation rates and other relevant auction dynamics. In this study, we present an algorithm to overcome these data limitations in German renewable energy auction programme by combining publicly available information from four different databases. We apply it to the German solar auction programme and evaluate auctions using quantitative methods. We calculate realisation rates and—using correlation and regression analysis—explore the impact of PV module prices, competition, and project and developer characteristics on project realisation and bid values. Our results confirm that the German auctions were effective. We also found that project realisation took, on average, 1.5 years (with 28% of projects finished late and incurring a financial penalty), nearlyAuctions have become the primary instrument for promoting renewable energy around the world. However, the data published on such auctions are typically limited to aggregated information (e.g., total awarded capacity, average payments). These data constraints hinder the evaluation of realisation rates and other relevant auction dynamics. In this study, we present an algorithm to overcome these data limitations in German renewable energy auction programme by combining publicly available information from four different databases. We apply it to the German solar auction programme and evaluate auctions using quantitative methods. We calculate realisation rates and—using correlation and regression analysis—explore the impact of PV module prices, competition, and project and developer characteristics on project realisation and bid values. Our results confirm that the German auctions were effective. We also found that project realisation took, on average, 1.5 years (with 28% of projects finished late and incurring a financial penalty), nearly half of projects changed location before completion (again, incurring a financial penalty) and small and inexperienced developers could successfully participate in auctions.show moreshow less

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Author: Taimyra Batz LiñeiroORCiD, Felix MüsgensORCiD
URL:https://linkinghub.elsevier.com/retrieve/pii/S0301421521004845
DOI:https://doi.org/10.1016/j.enpol.2021.112618
ISSN:0301-4215
Title of the source (English):Energy Policy
Document Type:Scientific journal article peer-reviewed
Language:English
Year of publication:2021
Tag:Energy markets and pricing
Article number:112618
Faculty/Chair:Fakultät 3 Maschinenbau, Elektro- und Energiesysteme / FG Energiewirtschaft
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