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A Review on Performance Calculation and Design Methodologies for Horizontal-Axis Wind Turbine Blades

Author

Listed:
  • Rongyu Zha

    (CRRC Qi Hang New Energy Technology Co., Ltd., Beijing 100080, China
    These authors contributed equally to this work.)

  • Siyuan Wu

    (National Energy Wind Turbine Blade R&D Center, Institute of Engineering Thermophysics, Chinese Academy of Sciences, Beijing 100190, China
    The Key Laboratory of Wind Energy Utilization of Chinese Academy of Sciences, Beijing 100190, China
    University of Chinese Academy of Sciences, Beijing 100049, China
    These authors contributed equally to this work.)

  • Chang Cai

    (National Energy Wind Turbine Blade R&D Center, Institute of Engineering Thermophysics, Chinese Academy of Sciences, Beijing 100190, China
    The Key Laboratory of Wind Energy Utilization of Chinese Academy of Sciences, Beijing 100190, China)

  • Xiaohui Liu

    (CRRC Qi Hang New Energy Technology Co., Ltd., Beijing 100080, China)

  • Dian Wang

    (CRRC Qi Hang New Energy Technology Co., Ltd., Beijing 100080, China)

  • Chaoyi Peng

    (ZhuZhou Times New Materials Technology Co., Ltd., Zhuzhou 412007, China)

  • Xuebin Feng

    (ZhuZhou Times New Materials Technology Co., Ltd., Zhuzhou 412007, China)

  • Qiuhua Chen

    (Goldwind Science & Technology Co., Ltd., Beijing 100176, China)

  • Xiaohui Zhong

    (National Energy Wind Turbine Blade R&D Center, Institute of Engineering Thermophysics, Chinese Academy of Sciences, Beijing 100190, China
    The Key Laboratory of Wind Energy Utilization of Chinese Academy of Sciences, Beijing 100190, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Qing’an Li

    (National Energy Wind Turbine Blade R&D Center, Institute of Engineering Thermophysics, Chinese Academy of Sciences, Beijing 100190, China
    The Key Laboratory of Wind Energy Utilization of Chinese Academy of Sciences, Beijing 100190, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

Abstract

The efficient, low-cost, and large-scale development and utilization of offshore wind energy resources is an inevitable trend for future growth. With the continuous increase in the scale of wind turbines and their expansion into deep-sea locations, there is an urgent need to develop ultra-long, flexible blades suitable for future high-capacity turbines. Existing reviews in the field of blade design lack a simultaneous focus on the two core elements of blade performance calculation and design methods, as well as a detailed evaluation of specific methods. Therefore, this paper reviews the performance calculation and design methodologies of horizontal-axis wind turbine blades from three aspects: aerodynamic design, structural design, and coupled aero-structural design. A critical introduction to various methods is provided, along with a key viewpoint centered around design philosophy: there is no global optimal solution; instead, the most suitable solution is chosen from the Pareto set according to the design philosophy. This review not only provides a concise and clear overview for researchers new to the field of blade design to quickly acquire key background knowledge but also offers valuable insights for experienced researchers through critical evaluations of various methods and the presentation of core viewpoints. The paper also includes a refined review of extended areas such as aerodynamic add-ons and fatigue characteristics, which broadens the scope of the review to touch on multiple research areas and inspire further research. In future research, it is crucial to identify new key issues and challenges associated with increased blade length and flexibility, address the challenges faced in integrated aero-structural design, and develop platforms and tools that support multi-objective optimization design of blades, ensuring the safe, stable, and orderly development of wind turbines.

Suggested Citation

  • Rongyu Zha & Siyuan Wu & Chang Cai & Xiaohui Liu & Dian Wang & Chaoyi Peng & Xuebin Feng & Qiuhua Chen & Xiaohui Zhong & Qing’an Li, 2025. "A Review on Performance Calculation and Design Methodologies for Horizontal-Axis Wind Turbine Blades," Energies, MDPI, vol. 18(2), pages 1-23, January.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:2:p:435-:d:1571181
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    References listed on IDEAS

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    1. Yuqiao Zheng & Yongyong Cao & Chengcheng Zhang & Zhe He, 2017. "Structural Optimization Design of Large Wind Turbine Blade considering Aeroelastic Effect," Mathematical Problems in Engineering, Hindawi, vol. 2017, pages 1-7, October.
    2. Vaz, Jerson Rogério Pinheiro & Pinho, João Tavares & Mesquita, André Luiz Amarante, 2011. "An extension of BEM method applied to horizontal-axis wind turbine design," Renewable Energy, Elsevier, vol. 36(6), pages 1734-1740.
    3. Anesu Godfrey Chitura & Patrick Mukumba & Ndanduleni Lethole, 2024. "Enhancing the Performance of Savonius Wind Turbines: A Review of Advances Using Multiple Parameters," Energies, MDPI, vol. 17(15), pages 1-17, July.
    4. Liao, C.C. & Zhao, X.L. & Xu, J.Z., 2012. "Blade layers optimization of wind turbines using FAST and improved PSO Algorithm," Renewable Energy, Elsevier, vol. 42(C), pages 227-233.
    5. Chehouri, Adam & Younes, Rafic & Ilinca, Adrian & Perron, Jean, 2015. "Review of performance optimization techniques applied to wind turbines," Applied Energy, Elsevier, vol. 142(C), pages 361-388.
    6. Sun, Zhenye & Chen, Jin & Shen, Wen Zhong & Zhu, Wei Jun, 2016. "Improved blade element momentum theory for wind turbine aerodynamic computations," Renewable Energy, Elsevier, vol. 96(PA), pages 824-831.
    7. Jia, Liangyue & Hao, Jia & Hall, John & Nejadkhaki, Hamid Khakpour & Wang, Guoxin & Yan, Yan & Sun, Mengyuan, 2021. "A reinforcement learning based blade twist angle distribution searching method for optimizing wind turbine energy power," Energy, Elsevier, vol. 215(PA).
    8. Min-Soo Jeong & In Lee & Seung-Jae Yoo & Kwang-Choon Park, 2013. "Torsional Stiffness Effects on the Dynamic Stability of a Horizontal Axis Wind Turbine Blade," Energies, MDPI, vol. 6(4), pages 1-20, April.
    9. Hoogedoorn, Eelco & Jacobs, Gustaaf B. & Beyene, Asfaw, 2010. "Aero-elastic behavior of a flexible blade for wind turbine application: A 2D computational study," Energy, Elsevier, vol. 35(2), pages 778-785.
    10. Jing Dong & Axelle Viré & Carlos Simao Ferreira & Zhangrui Li & Gerard van Bussel, 2019. "A Modified Free Wake Vortex Ring Method for Horizontal-Axis Wind Turbines," Energies, MDPI, vol. 12(20), pages 1-24, October.
    11. Muhammad Salman Siddiqui & Muhammad Hamza Khalid & Abdul Waheed Badar & Muhammed Saeed & Taimoor Asim, 2022. "Parametric Analysis Using CFD to Study the Impact of Geometric and Numerical Modeling on the Performance of a Small Scale Horizontal Axis Wind Turbine," Energies, MDPI, vol. 15(2), pages 1-21, January.
    12. Jie Zhu & Xiaohui Ni & Xiaomei Shen, 2020. "Aerodynamic and structural optimization of wind turbine blade with static aeroelastic effects," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 15(1), pages 55-64.
    13. Karthikeyan, N. & Kalidasa Murugavel, K. & Arun Kumar, S. & Rajakumar, S., 2015. "Review of aerodynamic developments on small horizontal axis wind turbine blade," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 801-822.
    14. Tang, Di & Bao, Shiyi & Luo, Lijia & Mao, Jianfeng & Lv, Binbin & Guo, Hongtao, 2017. "Study on the aeroelastic responses of a wind turbine using a coupled multibody-FVW method," Energy, Elsevier, vol. 141(C), pages 2300-2313.
    15. Shen, Xin & Chen, Jin-Ge & Zhu, Xiao-Cheng & Liu, Peng-Yin & Du, Zhao-Hui, 2015. "Multi-objective optimization of wind turbine blades using lifting surface method," Energy, Elsevier, vol. 90(P1), pages 1111-1121.
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