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Experimental and Numerical Analysis of a Seawall’s Effect on Wind Turbine Performance

Author

Listed:
  • Hyun-Goo Kim

    (New-Renewable Energy Resource Center, Korea Institute of Energy Research, Daejeon 34129, Korea)

  • Wan-Ho Jeon

    (CEDIC Co. Ltd., Seoul 08506, Korea)

Abstract

For the purposes of this study, a wind tunnel experiment and a numerical analysis during ebb and high tides were conducted to determine the positive and negative effects of wind flow influenced by a seawall structure on the performance of wind turbines installed along a coastal seawall. The comparison of the wind flow field between a wind tunnel experiment performed with a 1/100 scale model and a computational fluid dynamics (CFD) analysis confirmed that the MP k -turbulence model estimated flow separation on the leeside of the seawall the most accurately. The CFD analysis verified that wind speed-up occurred due to the virtual hill effect caused by the seawall’s windward slope and the recirculation zone of its rear face, which created a positive effect by mitigating wind shear while increasing the mean wind speed in the wind turbine’s rotor plane. In contrast, the turbulence effect of flow separation on the seawall’s leeside was limited to the area below the wind turbine rotor, and had no negative effect. The use of the CFD verified with the comparison with the wind tunnel experiment was extended to the full-scale seawall, and the results of the analysis based on the wind turbine Supervisory Control and Data Acquisition (SCADA) data of a wind farm confirmed that the seawall effect was equivalent to a 1.5% increase in power generation as a result of a mitigation of the wind profile.

Suggested Citation

  • Hyun-Goo Kim & Wan-Ho Jeon, 2019. "Experimental and Numerical Analysis of a Seawall’s Effect on Wind Turbine Performance," Energies, MDPI, vol. 12(20), pages 1-14, October.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:20:p:3877-:d:276089
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    References listed on IDEAS

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    1. Takanori Uchida, 2018. "Computational Fluid Dynamics Approach to Predict the Actual Wind Speed over Complex Terrain," Energies, MDPI, vol. 11(7), pages 1-14, June.
    2. Nicolas Tobin & Leonardo P. Chamorro, 2017. "Windbreak Effects Within Infinite Wind Farms," Energies, MDPI, vol. 10(8), pages 1-12, August.
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    Cited by:

    1. Buen Zhang & Shyuan Cheng & Fanghan Lu & Yuan Zheng & Leonardo P. Chamorro, 2020. "Impact of Topographic Steps in the Wake and Power of a Wind Turbine: Part A—Statistics," Energies, MDPI, vol. 13(23), pages 1-14, December.

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