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Aeroelastic coupling analysis of the flexible blade of a wind turbine

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  • Mo, Wenwei
  • Li, Deyuan
  • Wang, Xianneng
  • Zhong, Cantang

Abstract

This paper presents an aeroelastic coupling analysis of the flexible blade of a large scale HAWT (horizontal axis wind turbine). To model the flexibility of the blade more accurately, ‘SE’ (super-element) is introduced to the blade dynamics model. The flexible blade is discretized into a MBS (multi-body system) using a limited number of SEs. The blade bending vibration and torsional deflection are both considered when calculating the aerodynamic loads; thus, the BEM (blade element momentum) theory used in this study is modified. In addition, the B–L (Beddoes–Leishman) dynamic stall model is integrated into the BEM-modified model to investigate the airfoil dynamic stall characteristics. The nonlinear governing equations of the constrained blade MBS are derived based on the theory of MBS dynamics coupling with the blade aerodynamics model. The time domain aeroelastic responses of the United States NREL (National Renewable Energy Laboratory) offshore 5-MW wind turbine blade are obtained. The simulation results indicate that blade vibration and deformation have significant effects on the aerodynamic loads, and the dynamic stall can cause more violent fluctuation for the blade aerodynamic loads compared with the steady aerodynamic model, which can considerably affect the blade fatigue load spectrum analysis and the fatigue life design.

Suggested Citation

  • Mo, Wenwei & Li, Deyuan & Wang, Xianneng & Zhong, Cantang, 2015. "Aeroelastic coupling analysis of the flexible blade of a wind turbine," Energy, Elsevier, vol. 89(C), pages 1001-1009.
    • Handle: RePEc:eee:energy:v:89:y:2015:i:c:p:1001-1009
    DOI: 10.1016/j.energy.2015.06.046
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    References listed on IDEAS

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    1. Zhao, Xueyong & Maißer, Peter & Wu, Jingyan, 2007. "A new multibody modelling methodology for wind turbine structures using a cardanic joint beam element," Renewable Energy, Elsevier, vol. 32(3), pages 532-546.
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    3. Dai, J.C. & Hu, Y.P. & Liu, D.S. & Long, X., 2011. "Aerodynamic loads calculation and analysis for large scale wind turbine based on combining BEM modified theory with dynamic stall model," Renewable Energy, Elsevier, vol. 36(3), pages 1095-1104.
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    2. 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.
    3. Liu, Xiong & Lu, Cheng & Liang, Shi & Godbole, Ajit & Chen, Yan, 2017. "Vibration-induced aerodynamic loads on large horizontal axis wind turbine blades," Applied Energy, Elsevier, vol. 185(P2), pages 1109-1119.
    4. Ebrahimi, Abbas & Sekandari, Mahmood, 2018. "Transient response of the flexible blade of horizontal-axis wind turbines in wind gusts and rapid yaw changes," Energy, Elsevier, vol. 145(C), pages 261-275.
    5. Xue, Zhanpu & Wang, Wei & Fang, Liqing & Zhou, Jingbo, 2020. "Numerical simulation on structural dynamics of 5 MW wind turbine," Renewable Energy, Elsevier, vol. 162(C), pages 222-233.
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    7. He-Yong Xu & Chen-Liang Qiao & Zheng-Yin Ye, 2016. "Dynamic Stall Control on the Wind Turbine Airfoil via a Co-Flow Jet," Energies, MDPI, vol. 9(6), pages 1-25, June.
    8. Ju, Shen-Haw & Huang, Yu-Cheng & Huang, Yin-Yu, 2020. "Study of optimal large-scale offshore wind turbines," Renewable Energy, Elsevier, vol. 154(C), pages 161-174.
    9. Li, Zhiguo & Gao, Zhiying & Dai, Yuanjun & Wen, Caifeng & Zhang, Liru & Wang, Jianwen, 2023. "Unsteady aeroelastic performance analysis for large-scale megawatt wind turbines based on a novel aeroelastic coupling model," Renewable Energy, Elsevier, vol. 218(C).
    10. Wang, Haipeng & Zhang, Bo & Qiu, Qinggang & Xu, Xiang, 2017. "Flow control on the NREL S809 wind turbine airfoil using vortex generators," Energy, Elsevier, vol. 118(C), pages 1210-1221.
    11. Zhanpu Xue & Hao Zhang & Yunguang Ji, 2023. "Dynamic Response of a Flexible Multi-Body in Large Wind Turbines: A Review," Sustainability, MDPI, vol. 15(8), pages 1-25, April.
    12. Chen, Peng & Han, Dezhi, 2022. "Effective wind speed estimation study of the wind turbine based on deep learning," Energy, Elsevier, vol. 247(C).
    13. Karbasian, Hamid Reza & Esfahani, Javad Abolfazli & Aliyu, Aliyu Musa & Kim, Kyung Chun, 2022. "Numerical analysis of wind turbines blade in deep dynamic stall," Renewable Energy, Elsevier, vol. 197(C), pages 1094-1105.
    14. Xu, Jin & Zhang, Lei & Li, Xue & Li, Shuang & Yang, Ke, 2020. "A study of dynamic response of a wind turbine blade based on the multi-body dynamics method," Renewable Energy, Elsevier, vol. 155(C), pages 358-368.
    15. Shukla, Vivek & Kaviti, Ajay Kumar, 2017. "Performance evaluation of profile modifications on straight-bladed vertical axis wind turbine by energy and Spalart Allmaras models," Energy, Elsevier, vol. 126(C), pages 766-795.

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