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Experimental Study on Wake Evolution of a 1.5 MW Wind Turbine in a Complex Terrain Wind Farm Based on LiDAR Measurements

Author

Listed:
  • Fei Zhao

    (School of Electrical & Electronic Engineering, North China Electric Power University, Baoding 071003, China)

  • Yihan Gao

    (Department of Building Services Engineering, The Hong Kong Polytechnic University, Hong Kong 999077)

  • Tengyuan Wang

    (Department of Power Engineering, North China Electric Power University, Baoding 071003, China)

  • Jinsha Yuan

    (School of Electrical & Electronic Engineering, North China Electric Power University, Baoding 071003, China)

  • Xiaoxia Gao

    (Department of Power Engineering, North China Electric Power University, Baoding 071003, China)

Abstract

To study the wake development characteristics of wind farms in complex terrains, two different types of Light Detection and Ranging (LiDAR) were used to conduct the field measurements in a mountain wind farm in Hebei Province, China. Under two different incoming wake conditions, the influence of wind shear, terrain and incoming wind characteristics on the development trend of wake was analyzed. The results showed that the existence of wind shear effect causes asymmetric distribution of wind speed in the wake region. The relief of the terrain behind the turbine indicated a subsidence of the wake centerline, which had a linear relationship with the topography altitudes. The wake recovery rates were calculated, which comprehensively validated the conclusion that the wake recovery rate is determined by both the incoming wind turbulence intensity in the wake and the magnitude of the wind speed.

Suggested Citation

  • Fei Zhao & Yihan Gao & Tengyuan Wang & Jinsha Yuan & Xiaoxia Gao, 2020. "Experimental Study on Wake Evolution of a 1.5 MW Wind Turbine in a Complex Terrain Wind Farm Based on LiDAR Measurements," Sustainability, MDPI, vol. 12(6), pages 1-14, March.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:6:p:2467-:d:335193
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    References listed on IDEAS

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