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Stall-induced vibrations analysis and mitigation of a wind turbine rotor at idling state: Theory and experiment

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  • Chen, Chuan
  • Zhou, Jing-wei
  • Li, Fengming
  • Zhai, Endi

Abstract

With the development of wind turbine manufacturing technology, the wind turbine rotor is facing more design challenges for exposing to complex environmental conditions and severe wind loads. This paper investigates the stall-induced vibrations of a wind turbine rotor operating at idling state, and a strategy to mitigate the stall-induced vibrations is proposed. The equations of motion of the wind turbine rotor are established by Hamilton's principle and solved using the finite element method (FEM). The aerodynamic forces are evaluated based on the blade element theory, and the aero-damping is obtained by solving the eigenvalue problem of the rotor system. The stability of the wind turbine rotor is analyzed under different wind speeds, wind deviation angles, azimuth angles and pitch angles. The calculation results show that negative aero-damping exists in specific wind deviation angles, which leads to the divergence of edge-wise motions of the blades. An on-site experimental study validates the criteria of stability of the wind turbine rotor. The present work provides positive outlooks for aeroelastic analysis of the wind turbine blades at idling states, and it is significant for the design and safety improvement of large wind turbine blades.

Suggested Citation

  • Chen, Chuan & Zhou, Jing-wei & Li, Fengming & Zhai, Endi, 2022. "Stall-induced vibrations analysis and mitigation of a wind turbine rotor at idling state: Theory and experiment," Renewable Energy, Elsevier, vol. 187(C), pages 710-727.
    • Handle: RePEc:eee:renene:v:187:y:2022:i:c:p:710-727
    DOI: 10.1016/j.renene.2022.01.078
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    References listed on IDEAS

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    1. Rezaei, Ramtin & Fromme, Paul & Duffour, Philippe, 2018. "Fatigue life sensitivity of monopile-supported offshore wind turbines to damping," Renewable Energy, Elsevier, vol. 123(C), pages 450-459.
    2. Meng, Jiayao & Dai, Kaoshan & Zhao, Zhi & Mao, Zhenxi & Camara, Alfredo & Zhang, Songhan & Mei, Zhu, 2020. "Study on the aerodynamic damping for the seismic analysis of wind turbines in operation," Renewable Energy, Elsevier, vol. 159(C), pages 1224-1242.
    3. Win Naung, Shine & Rahmati, Mohammad & Farokhi, Hamed, 2021. "Nonlinear frequency domain solution method for aerodynamic and aeromechanical analysis of wind turbines," Renewable Energy, Elsevier, vol. 167(C), pages 66-81.
    4. Meng, Hang & Lien, Fue-Sang & Yee, Eugene & Shen, Jingfang, 2020. "Modelling of anisotropic beam for rotating composite wind turbine blade by using finite-difference time-domain (FDTD) method," Renewable Energy, Elsevier, vol. 162(C), pages 2361-2379.
    5. Zhu, Chengyong & Qiu, Yingning & Wang, Tongguang, 2021. "Dynamic stall of the wind turbine airfoil and blade undergoing pitch oscillations: A comparative study," Energy, Elsevier, vol. 222(C).
    6. Robert Fontecha & Frank Kemper & Markus Feldmann, 2019. "On the Determination of the Aerodynamic Damping of Wind Turbines Using the Forced Oscillations Method in Wind Tunnel Experiments," Energies, MDPI, vol. 12(12), pages 1-19, June.
    7. Jokar, H. & Mahzoon, M. & Vatankhah, R., 2020. "Dynamic modeling and free vibration analysis of horizontal axis wind turbine blades in the flap-wise direction," Renewable Energy, Elsevier, vol. 146(C), pages 1818-1832.
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