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Experimental study on wake interactions and performance of the turbines with different rotor-diameters in adjacent area of large-scale wind farm

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  • Fei, Zhao
  • Tengyuan, Wang
  • Xiaoxia, Gao
  • Haiying, Sun
  • Hongxing, Yang
  • Zhonghe, Han
  • Yu, Wang
  • Xiaoxun, Zhu

Abstract

Caused by the expansion construction of large-scale wind farm, wind turbines of different rotor-diameters always exist in typical area with abundant wind resources. This paper investigates the wake characteristics of turbines with different rotor-diameters and their wake interactions as well as performance through LiDAR measurement and SCADA data. The experiment wind farm is located in North China with a flat terrain and three different types of wind turbines are installed. Results show that the wake recovery is related to the rotor diameter, the larger of the turbine, the slower of its wake recovery. The wake of downwind turbine is aggravated by the upstream turbine’s wake, reflected in broader wake width, larger velocity deficit and depth. Meanwhile, the upstream wind turbine’s wake that close to the downstream wind turbine can also be affected, reflected in the velocity deficit and the wake width suddenly increases when the wake approaching the downwind turbine. The power loss caused by wake effect increased sharply when wind speed decreases and the wake of a 1.5 MW wind turbine makes a great power loss even after a long distance, thus, the wake effect of large wind turbine should be paid more attentions.

Suggested Citation

  • Fei, Zhao & Tengyuan, Wang & Xiaoxia, Gao & Haiying, Sun & Hongxing, Yang & Zhonghe, Han & Yu, Wang & Xiaoxun, Zhu, 2020. "Experimental study on wake interactions and performance of the turbines with different rotor-diameters in adjacent area of large-scale wind farm," Energy, Elsevier, vol. 199(C).
    • Handle: RePEc:eee:energy:v:199:y:2020:i:c:s0360544220305235
    DOI: 10.1016/j.energy.2020.117416
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    7. Xiaoxia, Gao & Luqing, Li & Shaohai, Zhang & Xiaoxun, Zhu & Haiying, Sun & Hongxing, Yang & Yu, Wang & Hao, Lu, 2022. "LiDAR-based observation and derivation of large-scale wind turbine's wake expansion model downstream of a hill," Energy, Elsevier, vol. 259(C).
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    9. Wang, Tengyuan & Cai, Chang & Wang, Xinbao & Wang, Zekun & Chen, Yewen & Song, Juanjuan & Xu, Jianzhong & Zhang, Yuning & Li, Qingan, 2023. "A new Gaussian analytical wake model validated by wind tunnel experiment and LiDAR field measurements under different turbulent flow," Energy, Elsevier, vol. 271(C).
    10. Sun, Jili & Chen, Zheng & Yu, Hao & Gao, Shan & Wang, Bin & Ying, You & Sun, Yong & Qian, Peng & Zhang, Dahai & Si, Yulin, 2022. "Quantitative evaluation of yaw-misalignment and aerodynamic wake induced fatigue loads of offshore Wind turbines," Renewable Energy, Elsevier, vol. 199(C), pages 71-86.
    11. Paxis Marques João Roque & Shyama Pada Chowdhury & Zhongjie Huan, 2021. "Performance Enhancement of Proposed Namaacha Wind Farm by Minimising Losses Due to the Wake Effect: A Mozambican Case Study," Energies, MDPI, vol. 14(14), pages 1-22, July.
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