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Observed and global climate model based changes in wind power potential over the Northern Hemisphere during 1979–2016

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  • Tian, Qun
  • Huang, Gang
  • Hu, Kaiming
  • Niyogi, Dev

Abstract

Using an observed dataset, we study the changes of surface wind speeds from 1979 to 2016 over the Northern Hemisphere and their impacts on wind power potential. The results show that surface wind speeds were decreasing in the past four decades over most regions in the Northern Hemisphere, including North America, Europe and Asia. In conjunction with decreasing surface wind speeds, the wind power potential at the typical height of a commercial wind turbine was also declining over the past decades for most regions in the Northern Hemisphere. Approximately 30%, 50% and 80% of the stations lost over 30% of the wind power potential since 1979 in North America, Europe and Asia, respectively. In addition, the evaluation of climate models shows their relatively poor ability to simulate long-term temporal trends of surface winds, indicating the need for enhancing the process that can improve the reliability of climate models for wind energy assessments.

Suggested Citation

  • Tian, Qun & Huang, Gang & Hu, Kaiming & Niyogi, Dev, 2019. "Observed and global climate model based changes in wind power potential over the Northern Hemisphere during 1979–2016," Energy, Elsevier, vol. 167(C), pages 1224-1235.
    • Handle: RePEc:eee:energy:v:167:y:2019:i:c:p:1224-1235
    DOI: 10.1016/j.energy.2018.11.027
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    References listed on IDEAS

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    5. Liming Gou & Jian Zhang & Naiwen Li & Zongshui Wang & Jindong Chen & Lin Qi, 2022. "Weighted assignment fusion algorithm of evidence conflict based on Euclidean distance and weighting strategy, and application in the wind turbine system," PLOS ONE, Public Library of Science, vol. 17(1), pages 1-20, January.
    6. Costoya, X. & deCastro, M. & Santos, F. & Sousa, M.C. & Gómez-Gesteira, M., 2019. "Projections of wind energy resources in the Caribbean for the 21st century," Energy, Elsevier, vol. 178(C), pages 356-367.
    7. Zhang, Shuangyi & Li, Xichen, 2021. "Future projections of offshore wind energy resources in China using CMIP6 simulations and a deep learning-based downscaling method," Energy, Elsevier, vol. 217(C).
    8. Miao, Haozeyu & Xu, Haiming & Huang, Gang & Yang, Kai, 2023. "Evaluation and future projections of wind energy resources over the Northern Hemisphere in CMIP5 and CMIP6 models," Renewable Energy, Elsevier, vol. 211(C), pages 809-821.
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    10. Li, He & Liu, Pan & Guo, Shenglian & Cheng, Lei & Huang, Kangdi & Feng, Maoyuan & He, Shaokun & Ming, Bo, 2021. "Deriving adaptive long-term complementary operating rules for a large-scale hydro-photovoltaic hybrid power plant using ensemble Kalman filter," Applied Energy, Elsevier, vol. 301(C).

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