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Design approaches of performance-scaled rotor for wave basin model tests of floating wind turbines

Author

Listed:
  • Wen, Binrong
  • Tian, Xinliang
  • Dong, Xingjian
  • Li, Zhanwei
  • Peng, Zhike
  • Zhang, Wenming
  • Wei, Kexiang

Abstract

The Froude scaling law is usually utilized in the wave basin model tests of Floating Wind Turbines (FWTs). However, the Froude-Scaled Rotor (FSR) cannot generate desired aerodynamic loads due to the Reynolds-Number Scaling Effect (RNSE). To mitigate the adverse effects of RNSE, two approaches are proposed to design Performance-Scaled Rotors (PSRs) in this paper. Taking DTU 10 MW baseline wind turbine as an example, the SD2030 airfoil is selected to replace the original FFA-W3-xx airfoils. Maximum Lift Tracking (MLT) and Load Distribution Matching (LDM) algorithms are proposed to assign the chord lengths and twist angles. Herein, MLT leads all airfoils to operate at the optimal angle of attack that corresponds to the maximum lift coefficient and afterwards increasing the chord lengths. LDM simultaneously adjusts the chord length and twist angle, aiming to match the span-wise distribution of normal force at the design point. Results show that both approaches can generate desired rotor thrusts in a range of tip speed ratios, which seems to outperform prior PSRs in the existing publications. The blade mass and inertia can be preserved with careful manufacturing procedures. The redesigned PSRs are helpful to improve the accuracy and reliability of FWT model tests in the wave basin.

Suggested Citation

  • Wen, Binrong & Tian, Xinliang & Dong, Xingjian & Li, Zhanwei & Peng, Zhike & Zhang, Wenming & Wei, Kexiang, 2020. "Design approaches of performance-scaled rotor for wave basin model tests of floating wind turbines," Renewable Energy, Elsevier, vol. 148(C), pages 573-584.
    • Handle: RePEc:eee:renene:v:148:y:2020:i:c:p:573-584
    DOI: 10.1016/j.renene.2019.10.147
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    References listed on IDEAS

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    1. Liu, Yichao & Li, Sunwei & Yi, Qian & Chen, Daoyi, 2016. "Developments in semi-submersible floating foundations supporting wind turbines: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 433-449.
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    6. Wen, Binrong & Tian, Xinliang & Zhang, Qi & Dong, Xingjian & Peng, Zhike & Zhang, Wenming & Wei, Kexiang, 2019. "Wind shear effect induced by the platform pitch motion of a spar-type floating wind turbine," Renewable Energy, Elsevier, vol. 135(C), pages 1186-1199.
    7. Du, Weikang & Zhao, Yongsheng & He, Yanping & Liu, Yadong, 2016. "Design, analysis and test of a model turbine blade for a wave basin test of floating wind turbines," Renewable Energy, Elsevier, vol. 97(C), pages 414-421.
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    Cited by:

    1. Yang, Siyao & Lin, Kun & Zhou, Annan, 2024. "An ML-based wind turbine blade design method considering multi-objective aerodynamic similarity and its experimental validation," Renewable Energy, Elsevier, vol. 220(C).
    2. Jiang, Yingying & Cheng, Zhengshun & Chen, Peng & Chai, Wei & Xiao, Longfei, 2023. "Performance-scaled rotor design method for model testing of floating vertical axis wind turbines in wave basins," Renewable Energy, Elsevier, vol. 219(P1).
    3. Chen, Peng & Kang, Yirou & Xu, Shijie & Liu, Lei & Cheng, Zhengshun, 2024. "Numerical modeling and dynamic response analysis of an integrated semi-submersible floating wind and aquaculture system," Renewable Energy, Elsevier, vol. 225(C).
    4. Yang, Can & Cheng, Zhengshun & Xiao, Longfei & Tian, Xinliang & Liu, Mingyue & Wen, Binrong, 2022. "A gradient-descent-based method for design of performance-scaled rotor for floating wind turbine model testing in wave basins," Renewable Energy, Elsevier, vol. 187(C), pages 144-155.
    5. Wang, Xinbao & Cai, Chang & Wu, Xianyou & Chen, Yewen & Wang, Tengyuan & Zhong, Xiaohui & Li, Qing'an, 2024. "Numerical validation of the dynamic aerodynamic similarity criterion for floating offshore wind turbines under equivalent pitch motions," Energy, Elsevier, vol. 294(C).
    6. Wang, Xinbao & Cai, Chang & Chen, Yewen & Chen, Yuejuan & Liu, Junbo & Xiao, Yang & Zhong, Xiaohui & Shi, Kezhong & Li, Qing'an, 2023. "Numerical verification of the dynamic aerodynamic similarity criterion for wind tunnel experiments of floating offshore wind turbines," Energy, Elsevier, vol. 283(C).

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