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Modelling the impact of geographical diversification of wind turbines on the required firm capacity in Germany

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  • Bucksteeg, Michael

Abstract

Due to the growing share of variable renewable energy sources, system integration and the contribution of mature renewable technologies to security of supply is becoming increasingly important. This implies that the overall infeed from renewables should be as high as possible at times of high electrical load. Hence, it is questioned whether variable renewables can contribute to the improvement of system reliability. This paper investigates to what extent a geographical diversification of wind onshore farms can support generation adequacy. Based on meteorological data, synthetic time series of wind infeed are simulated and geographical allocation of wind turbines is optimized. A probabilistic convolution approach is proposed to determine required firm capacity necessary to maintain security of supply. The findings indicate that changing the allocation of wind turbines allows saving up to 2 GW of required firm capacity. In case of wind turbines with storm control, the wind feed-in during the system peak load can be increased by about 0.5 GW. From an economic perspective a trade-off between maximizing the wind yield and contribution of wind to generation adequacy of 0.8 bn€ is found. Further possible cost savings regarding balancing and transmission should be incorporated in the context of renewables policy design.

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  • Bucksteeg, Michael, 2019. "Modelling the impact of geographical diversification of wind turbines on the required firm capacity in Germany," Applied Energy, Elsevier, vol. 235(C), pages 1476-1491.
    • Handle: RePEc:eee:appene:v:235:y:2019:i:c:p:1476-1491
    DOI: 10.1016/j.apenergy.2018.11.031
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    Cited by:

    1. Klie, Leo & Madlener, Reinhard, 2022. "Optimal configuration and diversification of wind turbines: A hybrid approach to improve the penetration of wind power," Energy Economics, Elsevier, vol. 105(C).
    2. Klie, Leo & Madlener, Reinhard, 2024. "Concentration versus diversification: A spatial deployment approach to improve the economics of wind power," Energy Policy, Elsevier, vol. 185(C).
    3. Lehmann, Paul & Reutter, Felix & Tafarte, Philip, 2021. "Optimal siting of onshore wind turbines: Local disamenities matter," UFZ Discussion Papers 4/2021, Helmholtz Centre for Environmental Research (UFZ), Division of Social Sciences (ÖKUS).
    4. Lehmann, Paul & Ammermann, Kathrin & Gawel, Erik & Geiger, Charlotte & Hauck, Jennifer & Heilmann, Jörg & Meier, Jan-Niklas & Ponitka, Jens & Schicketanz, Sven & Stemmer, Boris & Tafarte, Philip & Thr, 2020. "Managing spatial sustainability trade-offs: The case of wind power," UFZ Discussion Papers 4/2020, Helmholtz Centre for Environmental Research (UFZ), Division of Social Sciences (ÖKUS).
    5. Pöstges, Arne & Weber, Christoph, 2023. "Identifying key elements for adequate simplifications of investment choices – The case of wind energy expansion," Energy Economics, Elsevier, vol. 120(C).
    6. Philip Tafarte & Marcus Eichhorn & Daniela Thrän, 2019. "Capacity Expansion Pathways for a Wind and Solar Based Power Supply and the Impact of Advanced Technology—A Case Study for Germany," Energies, MDPI, vol. 12(2), pages 1-23, January.
    7. Tapia Carpio, Lucio Guido, 2021. "Mitigating the risk of photovoltaic power generation: A complementarity model of solar irradiation in diverse regions applied to Brazil," Utilities Policy, Elsevier, vol. 71(C).
    8. Lehmann, Paul & Reutter, Felix & Tafarte, Philip, 2023. "Optimal siting of onshore wind turbines: Local disamenities matter," Resource and Energy Economics, Elsevier, vol. 74(C).
    9. Zhang, Chongyu & Lu, Xi & Ren, Guo & Chen, Shi & Hu, Chengyu & Kong, Zhaoyang & Zhang, Ning & Foley, Aoife M., 2021. "Optimal allocation of onshore wind power in China based on cluster analysis," Applied Energy, Elsevier, vol. 285(C).
    10. Sinsel, Simon R. & Yan, Xuqian & Stephan, Annegret, 2019. "Building resilient renewable power generation portfolios: The impact of diversification on investors’ risk and return," Applied Energy, Elsevier, vol. 254(C).
    11. Tafarte, Philip & Lehmann, Paul, 2023. "Quantifying trade-offs for the spatial allocation of onshore wind generation capacity – A case study for Germany," Ecological Economics, Elsevier, vol. 209(C).
    12. Klie, Leo & Madlener, Reinhard, 2020. "Concentration Versus Diversification: A Spatial Deployment Approach to Improve the Economics of Wind Power," FCN Working Papers 2/2020, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN), revised May 2021.
    13. Tafarte, Philip & Lehmann, Paul, 2021. "Quantifying trade-offs for the spatial allocation of onshore wind generation capacity: A case study for Germany," UFZ Discussion Papers 2/2021, Helmholtz Centre for Environmental Research (UFZ), Division of Social Sciences (ÖKUS).
    14. Lehmann, Paul & Ammermann, Kathrin & Gawel, Erik & Geiger, Charlotte & Hauck, Jennifer & Heilmann, Jörg & Meier, Jan-Niklas & Ponitka, Jens & Schicketanz, Sven & Stemmer, Boris & Tafarte, Philip & Thr, 2021. "Managing spatial sustainability trade-offs: The case of wind power," Ecological Economics, Elsevier, vol. 185(C).
    15. Arne Pöstges & Christoph Weber, "undated". "Identifying key elements for adequate simplifications of investment choices - The case of wind energy expansion," EWL Working Papers 2101, University of Duisburg-Essen, Chair for Management Science and Energy Economics.

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