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Flexible dynamic modeling and analysis of drive train for Offshore Floating Wind Turbine

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  • Li, Zhanwei
  • Wen, Binrong
  • Wei, Kexiang
  • Yang, Wenxian
  • Peng, Zhike
  • Zhang, Wenming

Abstract

Drive train has a significant influence on the reliability of wind turbines. As for the Offshore Floating Wind Turbine (OFWT), the importance of the drive train is even more prominent due to the more complex operating conditions at the ocean. In this study, dynamic characteristics of the OFWT drive train are investigated based on flexible dynamic model. First, this paper presents a flexible dynamic model of the drive train, which includes not only the full coupling of gear meshing but also the flexibilities of planet carrier and ring gear. Then, a corresponding finite element model is established to verify the reliability of the proposed model by comparing natural frequencies and vibration responses. Afterwards, dynamic characteristics of the drive train are analyzed under different excitations, including the time-varying mesh stiffness, wind turbulence, tower shadow, wind shear and platform motions. Results show that resonant peaks of the system are more likely to appear when the mesh frequency or its multiplication of the gear pair 1–2 is equal to the natural frequency. In addition, it is revealed that the tower shadow is the most significant excitation source for OFWT drive train, followed by platform pitch and surge motions.

Suggested Citation

  • Li, Zhanwei & Wen, Binrong & Wei, Kexiang & Yang, Wenxian & Peng, Zhike & Zhang, Wenming, 2020. "Flexible dynamic modeling and analysis of drive train for Offshore Floating Wind Turbine," Renewable Energy, Elsevier, vol. 145(C), pages 1292-1305.
    • Handle: RePEc:eee:renene:v:145:y:2020:i:c:p:1292-1305
    DOI: 10.1016/j.renene.2019.06.116
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    Cited by:

    1. Wang, Shuaishuai & Nejad, Amir R. & Bachynski, Erin E. & Moan, Torgeir, 2020. "Effects of bedplate flexibility on drivetrain dynamics: Case study of a 10 MW spar type floating wind turbine," Renewable Energy, Elsevier, vol. 161(C), pages 808-824.
    2. Liu, Hongwei & Zhang, Pengpeng & Gu, Yajing & Shu, Yongdong & Song, Jiajun & Lin, Yonggang & Li, Wei, 2022. "Dynamics analysis of the power train of 650 kW horizontal-axis tidal current turbine," Renewable Energy, Elsevier, vol. 194(C), pages 51-67.
    3. Wang, Shuaishuai & Moan, Torgeir & Jiang, Zhiyu, 2022. "Influence of variability and uncertainty of wind and waves on fatigue damage of a floating wind turbine drivetrain," Renewable Energy, Elsevier, vol. 181(C), pages 870-897.
    4. Wang, Bohan & Deng, Ziwei & Zhang, Baocheng, 2022. "Simulation of a novel wind–wave hybrid power generation system with hydraulic transmission," Energy, Elsevier, vol. 238(PB).
    5. Wang, Shuaishuai & Moan, Torgeir & Nejad, Amir R., 2021. "A comparative study of fully coupled and de-coupled methods on dynamic behaviour of floating wind turbine drivetrains," Renewable Energy, Elsevier, vol. 179(C), pages 1618-1635.
    6. Cheng Yang & Jun Jia & Ke He & Liang Xue & Chao Jiang & Shuangyu Liu & Bochao Zhao & Ming Wu & Haoyang Cui, 2023. "Comprehensive Analysis and Evaluation of the Operation and Maintenance of Offshore Wind Power Systems: A Survey," Energies, MDPI, vol. 16(14), pages 1-39, July.
    7. W. Dheelibun Remigius & Anand Natarajan, 2022. "A review of wind turbine drivetrain loads and load effects for fixed and floating wind turbines," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 11(1), January.

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