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Investigating Coastal Effects on Offshore Wind Conditions in Japan Using Unmanned Aerial Vehicles

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  • Kazutaka Goto

    (Sustainable System Research Laboratory, Central Research Institute of Electric Power Industry, 1646 Abiko, Abiko-shi 270-1166, Chiba, Japan
    Interdisciplinary Graduate School of Engineering Sciences, Kyushu University, 6-1 Kasuga-koen, Kasuga 816-8580, Fukuoka, Japan)

  • Takanori Uchida

    (Research Institute for Applied Mechanics (RIAM), Kyushu University, 6-1 Kasuga-koen, Kasuga 816-8580, Fukuoka, Japan)

  • Takeshi Kishida

    (Sustainable System Research Laboratory, Central Research Institute of Electric Power Industry, 1646 Abiko, Abiko-shi 270-1166, Chiba, Japan)

  • Daisuke Nohara

    (Sustainable System Research Laboratory, Central Research Institute of Electric Power Industry, 1646 Abiko, Abiko-shi 270-1166, Chiba, Japan)

  • Keisuke Nakao

    (Sustainable System Research Laboratory, Central Research Institute of Electric Power Industry, 1646 Abiko, Abiko-shi 270-1166, Chiba, Japan)

  • Ayumu Sato

    (Sustainable System Research Laboratory, Central Research Institute of Electric Power Industry, 1646 Abiko, Abiko-shi 270-1166, Chiba, Japan)

Abstract

Wind conditions play a significant role in wind power generation. Offshore wind turbines in Japan are located in areas with a shorter fetch compared with those in Europe, raising concerns about more significant coastal effects on offshore wind conditions. Therefore, we conducted observations using unmanned aerial vehicles (UAVs) to investigate coastal effects on offshore wind conditions in Japan, measuring the vertical structure of meteorological parameters at multiple nearshore locations. We explored the application of data pre-processing methods to focus on the spatial variations caused by coastal effects and minimize short-term fluctuations. The results indicated that using ensemble averages of multiple vertical profiles effectively reduced short-term fluctuations. Our UAV observations revealed that stable stratification developed even within the 1300 m fetch region, with rapid growth rates. Additionally, we found that wind speeds were independent of height in some cases, suggesting that the wind profile power law is not suitable for expressing the vertical profiles of wind speed.

Suggested Citation

  • Kazutaka Goto & Takanori Uchida & Takeshi Kishida & Daisuke Nohara & Keisuke Nakao & Ayumu Sato, 2025. "Investigating Coastal Effects on Offshore Wind Conditions in Japan Using Unmanned Aerial Vehicles," Energies, MDPI, vol. 18(5), pages 1-11, February.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:5:p:1131-:d:1599403
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    References listed on IDEAS

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    1. Wang, Jianzhou & Song, Yiliao & Liu, Feng & Hou, Ru, 2016. "Analysis and application of forecasting models in wind power integration: A review of multi-step-ahead wind speed forecasting models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 960-981.
    2. Yang, Bo & Yu, Tao & Shu, Hongchun & Dong, Jun & Jiang, Lin, 2018. "Robust sliding-mode control of wind energy conversion systems for optimal power extraction via nonlinear perturbation observers," Applied Energy, Elsevier, vol. 210(C), pages 711-723.
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