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On the accuracy of CORDEX RCMs to project future winds over the Iberian Peninsula and surrounding ocean

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  • Santos, F.
  • Gómez-Gesteira, M.
  • deCastro, M.
  • Añel, J.A.
  • Carvalho, D.
  • Costoya, Xurxo
  • Dias, J.M.

Abstract

The accuracy of CORDEX regional models to reproduce wind speed was assessed at 15 wind farms (216 wind turbines) and 13 oceanic buoys covering the Iberian Peninsula and surrounding ocean during 2012. Models were able to reproduce with relative accuracy both the mean wind speed, with a mean error of 19% inland and 10% offshore, and the wind distribution, with an overlap percentage between distributions of 82 ± 5% inland and 83 ± 3% offshore. In addition, CORDEX regional models showed a skill higher than CMIP5 general models.

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  • Santos, F. & Gómez-Gesteira, M. & deCastro, M. & Añel, J.A. & Carvalho, D. & Costoya, Xurxo & Dias, J.M., 2018. "On the accuracy of CORDEX RCMs to project future winds over the Iberian Peninsula and surrounding ocean," Applied Energy, Elsevier, vol. 228(C), pages 289-300.
    • Handle: RePEc:eee:appene:v:228:y:2018:i:c:p:289-300
    DOI: 10.1016/j.apenergy.2018.06.086
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    6. He, J.Y. & Li, Q.S. & Chan, P.W. & Zhao, X.D., 2023. "Assessment of future wind resources under climate change using a multi-model and multi-method ensemble approach," Applied Energy, Elsevier, vol. 329(C).
    7. Américo S. Ribeiro & Maite deCastro & Liliana Rusu & Mariana Bernardino & João M. Dias & Moncho Gomez-Gesteira, 2020. "Evaluating the Future Efficiency of Wave Energy Converters along the NW Coast of the Iberian Peninsula," Energies, MDPI, vol. 13(14), pages 1-15, July.
    8. Zhuo, Chen & Junhong, Guo & Wei, Li & Fei, Zhang & Chan, Xiao & Zhangrong, Pan, 2022. "Changes in wind energy potential over China using a regional climate model ensemble," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    9. Costoya, X. & deCastro, M. & Carvalho, D. & Gómez-Gesteira, M., 2020. "On the suitability of offshore wind energy resource in the United States of America for the 21st century," Applied Energy, Elsevier, vol. 262(C).
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    11. He, J.Y. & Chan, P.W. & Li, Q.S. & Tong, H.W., 2023. "Mapping future offshore wind resources in the South China Sea under climate change by regional climate modeling," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
    12. Carvalho, D. & Rocha, A. & Costoya, X. & deCastro, M. & Gómez-Gesteira, M., 2021. "Wind energy resource over Europe under CMIP6 future climate projections: What changes from CMIP5 to CMIP6," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).
    13. Costoya, X. & deCastro, M. & Carvalho, D. & Arguilé-Pérez, B. & Gómez-Gesteira, M., 2022. "Combining offshore wind and solar photovoltaic energy to stabilize energy supply under climate change scenarios: A case study on the western Iberian Peninsula," Renewable and Sustainable Energy Reviews, Elsevier, vol. 157(C).
    14. Costoya, X. & deCastro, M. & Carvalho, D. & Feng, Z. & Gómez-Gesteira, M., 2021. "Climate change impacts on the future offshore wind energy resource in China," Renewable Energy, Elsevier, vol. 175(C), pages 731-747.
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    16. Costoya, X. & Rocha, A. & Carvalho, D., 2020. "Using bias-correction to improve future projections of offshore wind energy resource: A case study on the Iberian Peninsula," Applied Energy, Elsevier, vol. 262(C).

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