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On the design of potential turbine positions for physics-informed optimization of wind farm layout

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  • Wu, Chutian
  • Yang, Xiaolei
  • Zhu, Yaxin

Abstract

Wind farm layout optimization is a critical step in the design of a wind energy project. In the literature, the potential turbine positions employed in the layout optimization are often obtained by discretizing the field using a Cartesian mesh. In this work, physical understanding is proposed to incorporate in the design of potential turbine positions. Specifically, the known knowledge, that a staggered arrangement is more efficient for extracting energy from wind than an aligned arrangement, is employed and implemented using the staggered mesh approach, the unstructured mesh approach and the sunflower mesh approach. Different mesh approaches are tested using two cases, i.e. case I, unidirectional uniform wind, and case II, uniform wind with variable wind direction. The optimal layout obtained from the staggered mesh approach performs the best for case I. For case II, the farm performance from different layouts is similar. The performance of the layouts under off-design conditions is also tested for case I. For all considered cases, the optimal layout obtained from the sunflower approach shows an overall good performance.

Suggested Citation

  • Wu, Chutian & Yang, Xiaolei & Zhu, Yaxin, 2021. "On the design of potential turbine positions for physics-informed optimization of wind farm layout," Renewable Energy, Elsevier, vol. 164(C), pages 1108-1120.
  • Handle: RePEc:eee:renene:v:164:y:2021:i:c:p:1108-1120
    DOI: 10.1016/j.renene.2020.10.060
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    Cited by:

    1. Song, Jeonghwan & Kim, Taewan & You, Donghyun, 2023. "Particle swarm optimization of a wind farm layout with active control of turbine yaws," Renewable Energy, Elsevier, vol. 206(C), pages 738-747.
    2. Chen, Kaixuan & Lin, Jin & Qiu, Yiwei & Liu, Feng & Song, Yonghua, 2022. "Joint optimization of wind farm layout considering optimal control," Renewable Energy, Elsevier, vol. 182(C), pages 787-796.
    3. Xiaohao Liu & Zhaobin Li & Xiaolei Yang & Duo Xu & Seokkoo Kang & Ali Khosronejad, 2022. "Large-Eddy Simulation of Wakes of Waked Wind Turbines," Energies, MDPI, vol. 15(8), pages 1-26, April.
    4. Nicolas Kirchner-Bossi & Fernando Porté-Agel, 2021. "Wind Farm Area Shape Optimization Using Newly Developed Multi-Objective Evolutionary Algorithms," Energies, MDPI, vol. 14(14), pages 1-25, July.
    5. He, Ruiyang & Sun, Haiying & Gao, Xiaoxia & Yang, Hongxing, 2022. "Wind tunnel tests for wind turbines: A state-of-the-art review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 166(C).
    6. Masoudi, Seiied Mohsen & Baneshi, Mehdi, 2022. "Layout optimization of a wind farm considering grids of various resolutions, wake effect, and realistic wind speed and wind direction data: A techno-economic assessment," Energy, Elsevier, vol. 244(PB).

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