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Effects of Climate Change on Wind Power Generation: A Case Study for the German Bight

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  • Reinhold Lehneis

    (Department of Microbial Biotechnology, Helmholtz Centre for Environmental Research GmbH—UFZ, Permoserstraße 15, 04318 Leipzig, Germany)

Abstract

Driven by the demands of climate change mitigation, many countries have begun large-scale electricity production from variable renewables, such as solar PV and wind power. Electricity production from wind turbines, in particular, strongly depends on local weather conditions and their changes caused by climate change. Thus, for many countries with a high share of wind power generation, such as Germany, two essential questions arise: how will climate change affect electricity production, and how strong will be this impact for different RCPs? To better assess the impact on existing onshore wind turbines, spatially and temporally resolved data on their power generation are required. In order to create such disaggregated data, this study uses a physical simulation model and climate data modified for the RCP 2.6, RCP 4.5, and RCP 8.5 scenarios. To investigate the effects on a significant region with very high wind power generation in Germany, the numerical simulations were carried out on an ensemble of 22 onshore wind turbines with an installed capacity of 65.5 MW in the German Bight. After model validation, the power generation from this turbine ensemble was simulated for the high-wind year 2008 and the low-wind year 2010. The simulation results are presented with a high temporal resolution, and the observed changes are discussed for the applied RCPs. In summary, the resulting wind power generation of the entire plant ensemble decreases with increasing RCP to values of up to nearly 3 GWh for both years.

Suggested Citation

  • Reinhold Lehneis, 2025. "Effects of Climate Change on Wind Power Generation: A Case Study for the German Bight," Energies, MDPI, vol. 18(13), pages 1-13, June.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:13:p:3287-:d:1685658
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    1. Detlef Vuuren & Jae Edmonds & Mikiko Kainuma & Keywan Riahi & Allison Thomson & Kathy Hibbard & George Hurtt & Tom Kram & Volker Krey & Jean-Francois Lamarque & Toshihiko Masui & Malte Meinshausen & N, 2011. "The representative concentration pathways: an overview," Climatic Change, Springer, vol. 109(1), pages 5-31, November.
    2. Jussi Ekström & Matti Koivisto & Ilkka Mellin & Robert John Millar & Matti Lehtonen, 2018. "A Statistical Modeling Methodology for Long-Term Wind Generation and Power Ramp Simulations in New Generation Locations," Energies, MDPI, vol. 11(9), pages 1-18, September.
    3. Reinhold Lehneis & Daniela Thrän, 2024. "In 50 Shades of Orange: Germany’s Photovoltaic Power Generation Landscape," Energies, MDPI, vol. 17(16), pages 1-12, August.
    4. Ravestein, P. & van der Schrier, G. & Haarsma, R. & Scheele, R. & van den Broek, M., 2018. "Vulnerability of European intermittent renewable energy supply to climate change and climate variability," Renewable and Sustainable Energy Reviews, Elsevier, vol. 97(C), pages 497-508.
    5. Staffell, Iain & Pfenninger, Stefan, 2016. "Using bias-corrected reanalysis to simulate current and future wind power output," Energy, Elsevier, vol. 114(C), pages 1224-1239.
    6. H.C. Bloomfield & D.J. Brayshaw & A. Troccoli & C.M. Goodess & M. de Felice & L. Dubus & P.E. Bett & Yves-Marie Saint-Drenan, 2021. "Quantifying the sensitivity of european power systems to energy scenarios and climate change projections," Post-Print hal-03113026, HAL.
    7. Olauson, Jon & Bergkvist, Mikael, 2015. "Modelling the Swedish wind power production using MERRA reanalysis data," Renewable Energy, Elsevier, vol. 76(C), pages 717-725.
    8. Drücke, Jaqueline & Borsche, Michael & James, Paul & Kaspar, Frank & Pfeifroth, Uwe & Ahrens, Bodo & Trentmann, Jörg, 2021. "Climatological analysis of solar and wind energy in Germany using the Grosswetterlagen classification," Renewable Energy, Elsevier, vol. 164(C), pages 1254-1266.
    9. Rauner, Sebastian & Eichhorn, Marcus & Thrän, Daniela, 2016. "The spatial dimension of the power system: Investigating hot spots of Smart Renewable Power Provision," Applied Energy, Elsevier, vol. 184(C), pages 1038-1050.
    10. Bloomfield, H.C. & Brayshaw, D.J. & Troccoli, A. & Goodess, C.M. & De Felice, M. & Dubus, L. & Bett, P.E. & Saint-Drenan, Y.-M., 2021. "Quantifying the sensitivity of european power systems to energy scenarios and climate change projections," Renewable Energy, Elsevier, vol. 164(C), pages 1062-1075.
    11. Bowen Li & Sukanta Basu & Simon J. Watson & Herman W. J. Russchenberg, 2021. "A Brief Climatology of Dunkelflaute Events over and Surrounding the North and Baltic Sea Areas," Energies, MDPI, vol. 14(20), pages 1-14, October.
    12. Olauson, Jon, 2018. "ERA5: The new champion of wind power modelling?," Renewable Energy, Elsevier, vol. 126(C), pages 322-331.
    13. Reinhold Lehneis, 2025. "The Electricity Generation Landscape of Bioenergy in Germany," Energies, MDPI, vol. 18(6), pages 1-12, March.
    14. Paul A. Griffin, 2020. "Energy finance must account for extreme weather risk," Nature Energy, Nature, vol. 5(2), pages 98-100, February.
    15. Richard H. Moss & Jae A. Edmonds & Kathy A. Hibbard & Martin R. Manning & Steven K. Rose & Detlef P. van Vuuren & Timothy R. Carter & Seita Emori & Mikiko Kainuma & Tom Kram & Gerald A. Meehl & John F, 2010. "The next generation of scenarios for climate change research and assessment," Nature, Nature, vol. 463(7282), pages 747-756, February.
    16. Reinhold Lehneis & Daniela Thrän, 2023. "Temporally and Spatially Resolved Simulation of the Wind Power Generation in Germany," Energies, MDPI, vol. 16(7), pages 1-16, April.
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