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Design, analysis and test of a model turbine blade for a wave basin test of floating wind turbines

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  • Du, Weikang
  • Zhao, Yongsheng
  • He, Yanping
  • Liu, Yadong

Abstract

Froude scaling is a generally reliable way to design models of floating wind turbines for wave basin testing. However, the resulting rotor thrust of the model is far lower than the Froude-scaled value of a full-size turbine, because the reduction in Reynolds number decreases the lift coefficients and increases the drag coefficients (the Reynolds number scaling effect). A 1/50th scale model wind turbine based on a NREL-5MW reference turbine is examined here. To mitigate the Reynolds number scaling effect in the model, the original aerofoils of the reference turbine (DU series and NACA 64-618) were replaced by an aerofoil at a low Reynolds number (NACA 4412). Such a model with aerofoil-adjusted blades was used in the mathematical optimization of rotor thrust. The design objective was to guarantee that while the rotor thrust of the model equalled the Froude-scaled rotor thrust of the reference, the smallest chord lengths were achieved, considering the weight control in building the model blade. The distribution of chord lengths fitted a fourth-order polynomial curve, and the distribution of twist angles along the blade fitted a second-order polynomial curve. The eight coefficients of the two curves were chosen as optimization variables, and pattern search method was used to solve the optimization model. The model blade was designed at zero pitch angle and further tested in FAST, a fully coupled simulation tool. A model test was conducted using the optimized blade geometry in the State Key Laboratory of Ocean Engineering in Shanghai, China, and the thrusts were compared with the predicted values.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:renene:v:97:y:2016:i:c:p:414-421
    DOI: 10.1016/j.renene.2016.06.008
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    References listed on IDEAS

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    1. Yongsheng Zhao & Jianmin Yang & Yanping He, 2012. "Preliminary Design of a Multi-Column TLP Foundation for a 5-MW Offshore Wind Turbine," Energies, MDPI, vol. 5(10), pages 1-18, October.
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    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).
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    5. Kaminski, Meghan & Loth, Eric & Griffith, D. Todd & Qin, Chao (Chris), 2020. "Ground testing of a 1% gravo-aeroelastically scaled additively-manufactured wind turbine blade with bio-inspired structural design," Renewable Energy, Elsevier, vol. 148(C), pages 639-650.
    6. Wang, Xinbao & Cai, Chang & Cai, Shang-Gui & Wang, Tengyuan & Wang, Zekun & Song, Juanjuan & Rong, Xiaomin & Li, Qing'an, 2023. "A review of aerodynamic and wake characteristics of floating offshore wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 175(C).
    7. Daniel Duda & Vitalii Yanovych & Volodymyr Tsymbalyuk & Václav Uruba, 2022. "Effect of Manufacturing Inaccuracies on the Wake Past Asymmetric Airfoil by PIV," Energies, MDPI, vol. 15(3), pages 1-27, February.
    8. 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.
    9. 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).
    10. Ali M. H. A. Khajah & Simon P. Philbin, 2022. "Techno-Economic Analysis and Modelling of the Feasibility of Wind Energy in Kuwait," Clean Technol., MDPI, vol. 4(1), pages 1-21, January.
    11. Kaminski, Meghan & Simpson, Juliet & Loth, Eric & Fingersh, Lee Jay & Scholbrock, Andy & Johnson, Nick & Johnson, Kathryn & Pao, Lucy & Griffith, Todd, 2023. "Gravo-aeroelastically-scaled demonstrator field tests to represent blade response of a flexible extreme-scale downwind turbine," Renewable Energy, Elsevier, vol. 218(C).
    12. Yao, Shulong & Griffith, D. Todd & Chetan, Mayank & Bay, Christopher J. & Damiani, Rick & Kaminski, Meghan & Loth, Eric, 2020. "A gravo-aeroelastically scaled wind turbine rotor at field-prototype scale with strict structural requirements," Renewable Energy, Elsevier, vol. 156(C), pages 535-547.
    13. Chen, Jianbing & Liu, Zenghui & Song, Yupeng & Peng, Yongbo & Li, Jie, 2022. "Experimental study on dynamic responses of a spar-type floating offshore wind turbine," Renewable Energy, Elsevier, vol. 196(C), pages 560-578.

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