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Influence of variability and uncertainty of wind and waves on fatigue damage of a floating wind turbine drivetrain

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  • Wang, Shuaishuai
  • Moan, Torgeir
  • Jiang, Zhiyu

Abstract

This study investigates the effect of variability and uncertainty of wind and wave conditions on the short-term fatigue damage of a 10-MW floating wind turbine drivetrain. Global dynamic responses of a semi-submersible wind turbine are calculated by aero-hydro-servo-elastic simulations in various environmental conditions. Then, rotor and generator loads, as well as nacelle motions from the global analysis are provided to a drivetrain model to investigate its dynamics. One-hour fatigue damage of the drivetrain bearings is calculated based on the bearing loads and speeds, and the effect of uncertainties related to wind and waves is assessed. The results indicate that the variations of mean wind speed, turbulence intensity and wind shear have great effects on the studied drivetrain. The effect of uncertainties of irregular waves on the drivetrain fatigue damage is small. Five wind and wave random samples are sufficient for dynamic analysis of the drivetrain to achieve accurate results at a reasonable computational cost. Among the drivetrain components, the main bearings are generally most sensitive to the investigated environmental variables. Finally, this study discusses the variation of environmental variables in terms of their relative importance for drivetrain analysis. The results provide a basis for establishing improved design standards and engineering practice for design and analysis of floating wind turbine drivetrains.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:renene:v:181:y:2022:i:c:p:870-897
    DOI: 10.1016/j.renene.2021.09.090
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    References listed on IDEAS

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    1. Benedikt Ernst & Jörg R. Seume, 2012. "Investigation of Site-Specific Wind Field Parameters and Their Effect on Loads of Offshore Wind Turbines," Energies, MDPI, vol. 5(10), pages 1-21, October.
    2. 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.
    3. Zhang, Mingming & Li, Xin & Tong, Jingxin & Xu, Jianzhong, 2020. "Load control of floating wind turbine on a Tension-Leg-Platform subject to extreme wind condition," Renewable Energy, Elsevier, vol. 151(C), pages 993-1007.
    4. 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.
    5. Wen, Binrong & Tian, Xinliang & Zhang, Qi & Dong, Xingjian & Peng, Zhike & Zhang, Wenming & Wei, Kexiang, 2019. "Wind shear effect induced by the platform pitch motion of a spar-type floating wind turbine," Renewable Energy, Elsevier, vol. 135(C), pages 1186-1199.
    6. 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.
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    Cited by:

    1. Liao, Ding & Zhu, Shun-Peng & Correia, José A.F.O. & De Jesus, Abílio M.P. & Veljkovic, Milan & Berto, Filippo, 2022. "Fatigue reliability of wind turbines: historical perspectives, recent developments and future prospects," Renewable Energy, Elsevier, vol. 200(C), pages 724-742.
    2. Zhang, Ruixing & An, Liqiang & He, Lun & Yang, Xinmeng & Huang, Zenghao, 2024. "Reliability analysis and inverse optimization method for floating wind turbines driven by dual meta-models combining transient-steady responses," Reliability Engineering and System Safety, Elsevier, vol. 244(C).
    3. Li, Wei & Wang, Shuaishuai & Moan, Torgeir & Gao, Zhen & Gao, Shan, 2024. "Global design methodology for semi-submersible hulls of floating wind turbines," Renewable Energy, Elsevier, vol. 225(C).
    4. Zhu, Dongping & Huang, Xiaogang & Ding, Zhixia & Zhang, Wei, 2024. "Estimation of wind turbine responses with attention-based neural network incorporating environmental uncertainties," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    5. Jiang, Sufan & Wu, Chuanshen & Gao, Shan & Pan, Guangsheng & Liu, Yu & Zhao, Xin & Wang, Sicheng, 2022. "Robust frequency risk-constrained unit commitment model for AC-DC system considering wind uncertainty," Renewable Energy, Elsevier, vol. 195(C), pages 395-406.
    6. Ramezani, Mahyar & Choe, Do-Eun & Heydarpour, Khashayar & Koo, Bonjun, 2023. "Uncertainty models for the structural design of floating offshore wind turbines: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 185(C).

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