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A Counterfactual Analysis of Regional Renewable Energy Auctions Taking the Spatial Dimension into Account

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Abstract

Auctions have recently been introduced in many countries as a useful alternative to accomplish renewable energy supports. However, they are often accompanied by a high concentration of renewable energy power plants at productive sites, at the expense of other, less favorable sites. This paper studies the impact of alternative renewable energy auction designs on the promotion of renewable energy in Germany using a novel multi-level approach. To do so, we analyze auctions on three different spatial levels: the national auction, the regional auction-type I (federal states level) and the regional auction-type II (north/south auction). The initial step for modeling renewable energy auction schemes in Germany is to investigate the onshore wind potential with a high regional and temporal resolution, using the GIS-data-based tool REMix-ENDAT. The results of this analysis show a considerable as yet untapped onshore wind potential in the southern federal states of Germany. Second, an onshore wind auction model is developed using a system dynamics approach. Finally, the comparison of the support payment for different auction designs is evaluated using the electricity market simulation model (HECTOR). Findings indicate that more bidders from the southern federal states can win in the regional auctions. Detailed spatial analysis reveals a trade-off between balanced diversity of bidders and average auction price (the price difference varies from 0.5 €-ct/kWh to 1.5 €-ct/kWh in different scenarios). We conduct that, a noticeable potential support payment saving from regional auctions should be exploited in long-term renewable energy policy designs.

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  • Shyekhha, Siamak & Borggrefe, Frieder & Madlener, Reinhard, 2019. "A Counterfactual Analysis of Regional Renewable Energy Auctions Taking the Spatial Dimension into Account," FCN Working Papers 22/2019, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    • Handle: RePEc:ris:fcnwpa:2019_022
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    Cited by:

    1. Wolff, Stefanie & Madlener, Reinhard, 2020. "Willing to Pay? Spatial Heterogeneity of e-Vehicle Charging Preferences in Germany," FCN Working Papers 9/2020, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    2. Hellwig, Robert & Atasoy, Ayse Tugba & Madlener, Reinhard, 2020. "The Impact of Social Preferences and Information on the Willingness to Pay for Fairtrade Products," FCN Working Papers 6/2020, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    3. Davi-Arderius, Daniel & Trujillo-Baute, Elisa & del Río, Pablo, 2023. "Grid investment and subsidy tradeoffs in renewable electricity auctions," Utilities Policy, Elsevier, vol. 84(C).
    4. Walter, Antonia & Held, Maximilian & Pareschi, Giacomo & Pengg, Hermann & Madlener, Reinhard, 2020. "Decarbonizing the European Automobile Fleet: Impacts of 1.5 °C-compliant Climate Policies in Germany and Norway," FCN Working Papers 18/2020, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).

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    More about this item

    Keywords

    Renewable auction design; System dynamics; Support payment;
    All these keywords.

    JEL classification:

    • D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions
    • D47 - Microeconomics - - Market Structure, Pricing, and Design - - - Market Design
    • Q28 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Government Policy
    • Q47 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy Forecasting

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