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Typhoon-induced vibration response and the working mechanism of large wind turbine considering multi-stage effects

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  • Wang, H.
  • Ke, S.T.
  • Wang, T.G.
  • Zhu, S.Y.

Abstract

The typhoon-induced vibration characteristics of large wind turbines are significantly different in different travelling stages of typhoons due to the structural complexity of typhoons. Influences of multi-stage typhoon-induced effects on structural safety of wind turbines have not been studied yet. The objective of this paper is to investigate the vibration characteristics of wind turbines in different stages of the typhoon as well as the influencing rules of the structural design standards. For this purpose, a framework was established for predicting multi-stage typhoon-induced effects of large wind turbines, which includes a new typhoon-induced multi-stage wind field simulation method and an advanced multi-body model for large wind turbines. On this basis, aerodynamic loads and dynamic response of large wind turbines during different travelling stages of typhoon were analyzed systematically based on the blade element momentum, multi-body dynamic methods, spectral analysis and data statistics. The working mechanisms of multi-stage effects on vibration characteristics of the large wind turbine were revealed. Finally, an evaluation method of vibration amplification effects for large wind turbines with considerations to multi-stage effects was established. Research results demonstrate that the proposed method can predict vibration characteristics of large wind turbines considering the multi-stage effects efficiently. The multi-stage typhoon-induced effects can influence the value of peak factor and the extremum of wind-induced force and vibration responses of large wind turbines significantly. Conversely, the wind vibration coefficient of structural design was affected slightly. Instead of using a uniform structural design standard for large wind turbines, the influence rule of multi-stage effects on anti-typhoon safety performance was summarized in this paper.

Suggested Citation

  • Wang, H. & Ke, S.T. & Wang, T.G. & Zhu, S.Y., 2020. "Typhoon-induced vibration response and the working mechanism of large wind turbine considering multi-stage effects," Renewable Energy, Elsevier, vol. 153(C), pages 740-758.
    • Handle: RePEc:eee:renene:v:153:y:2020:i:c:p:740-758
    DOI: 10.1016/j.renene.2020.02.013
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Chen, Yisu & Wu, Di & Yu, Yuguo & Gao, Wei, 2021. "Do cyclone impacts really matter for the long-term performance of an offshore wind turbine?," Renewable Energy, Elsevier, vol. 178(C), pages 184-201.
    2. Wang, Hao & Wang, Tongguang & Ke, Shitang & Hu, Liang & Xie, Jiaojie & Cai, Xin & Cao, Jiufa & Ren, Yuxin, 2023. "Assessing code-based design wind loads for offshore wind turbines in China against typhoons," Renewable Energy, Elsevier, vol. 212(C), pages 669-682.
    3. Kangqi Tian & Li Song & Yongyan Chen & Xiaofeng Jiao & Rui Feng & Rui Tian, 2022. "Stress Coupling Analysis and Failure Damage Evaluation of Wind Turbine Blades during Strong Winds," Energies, MDPI, vol. 15(4), pages 1-19, February.
    4. Li, Zhiguo & Gao, Zhiying & Chen, Yongyan & Zhang, Liru & Wang, Jianwen, 2022. "A novel time-variant prediction model for megawatt flexible wind turbines and its application in NTM and ECD conditions," Renewable Energy, Elsevier, vol. 196(C), pages 1158-1169.
    5. Qin, Mengfei & Shi, Wei & Chai, Wei & Fu, Xing & Li, Lin & Li, Xin, 2023. "Extreme structural response prediction and fatigue damage evaluation for large-scale monopile offshore wind turbines subject to typhoon conditions," Renewable Energy, Elsevier, vol. 208(C), pages 450-464.
    6. Zuo, Haoran & Bi, Kaiming & Hao, Hong & Xin, Yu & Li, Jun & Li, Chao, 2020. "Fragility analyses of offshore wind turbines subjected to aerodynamic and sea wave loadings," Renewable Energy, Elsevier, vol. 160(C), pages 1269-1282.
    7. Wang, H. & Ke, S.T. & Wang, T.G. & Kareem, A. & Hu, L. & Ge, Y.J., 2022. "Multi-stage typhoon-induced wind effects on offshore wind turbines using a data-driven wind speed field model," Renewable Energy, Elsevier, vol. 188(C), pages 765-777.
    8. Cai, Chang & Yang, Yingjian & Jia, Yan & Wu, Guangxing & Zhang, Hairui & Yuan, Feiqi & Qian, Quan & Li, Qing'an, 2023. "Aerodynamic load evaluation of leading edge and trailing edge windward states of large-scale wind turbine blade under parked condition," Applied Energy, Elsevier, vol. 350(C).

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