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A review of wind turbine drivetrain loads and load effects for fixed and floating wind turbines

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  • W. Dheelibun Remigius
  • Anand Natarajan

Abstract

Drivetrain is one of the important subsystems in the wind turbine and faults and damages in the drivetrain significantly affect the wind turbine's downtime and nonavailability. Understanding the drivetrain dynamics and load effects that results in failures has been a major research area due to challenges in the drivetrain operations and maintenance. A systematic literature review of wind turbine drivetrains is presented according to key research areas of drivetrains, such as modeling and load effects on the drivetrain. Special emphasis is given for the floating wind turbine drivetrains. A review on the state‐of‐art modeling techniques of the drivetrain is presented. Studies concerning the aeroelastic load effects on the drivetrain components especially the gearbox and the bearings are discussed. Several key aspects such as aero‐hydro‐elastic interaction load effect and platform motion excitations on the floating wind turbine drivetrain dynamics are reviewed in detail. Finally, challenges related to floating wind turbine drivetrain are also discussed. This article is categorized under: Wind Power > Science and Materials Wind Power > Systems and Infrastructure Energy Research & Innovation > Science and Materials

Suggested Citation

  • 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.
    • Handle: RePEc:bla:wireae:v:11:y:2022:i:1:n:e417
    DOI: 10.1002/wene.417
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    References listed on IDEAS

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    1. Helsen, Jan & Peeters, Pepijn & Vanslambrouck, Klaas & Vanhollebeke, Frederik & Desmet, Wim, 2014. "The dynamic behavior induced by different wind turbine gearbox suspension methods assessed by means of the flexible multibody technique," Renewable Energy, Elsevier, vol. 69(C), pages 336-346.
    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. Helsen, Jan & Vanhollebeke, Frederik & Marrant, Ben & Vandepitte, Dirk & Desmet, Wim, 2011. "Multibody modelling of varying complexity for modal behaviour analysis of wind turbine gearboxes," Renewable Energy, Elsevier, vol. 36(11), pages 3098-3113.
    4. Yingning Qiu & Lang Chen & Yanhui Feng & Yili Xu, 2017. "An Approach of Quantifying Gear Fatigue Life for Wind Turbine Gearboxes Using Supervisory Control and Data Acquisition Data," Energies, MDPI, vol. 10(8), pages 1-21, July.
    5. Abdallah, I. & Natarajan, A. & Sørensen, J.D., 2016. "Influence of the control system on wind turbine loads during power production in extreme turbulence: Structural reliability," Renewable Energy, Elsevier, vol. 87(P1), pages 464-477.
    6. Wei, Sha & Zhao, Jingshan & Han, Qinkai & Chu, Fulei, 2015. "Dynamic response analysis on torsional vibrations of wind turbine geared transmission system with uncertainty," Renewable Energy, Elsevier, vol. 78(C), pages 60-67.
    7. Mingming Zhao & Jinchen Ji, 2016. "Dynamic Analysis of Wind Turbine Gearbox Components," Energies, MDPI, vol. 9(2), pages 1-18, February.
    8. Zhu, Caichao & Xu, Xiangyang & Liu, Huaiju & Luo, Tianhong & Zhai, Hongfei, 2014. "Research on dynamical characteristics of wind turbine gearboxes with flexible pins," Renewable Energy, Elsevier, vol. 68(C), pages 724-732.
    9. Ding, Fangfang & Tian, Zhigang & Zhao, Fuqiong & Xu, Hao, 2018. "An integrated approach for wind turbine gearbox fatigue life prediction considering instantaneously varying load conditions," Renewable Energy, Elsevier, vol. 129(PA), pages 260-270.
    10. 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.
    11. Li, Y. & Castro, A.M. & Martin, J.E. & Sinokrot, T. & Prescott, W. & Carrica, P.M., 2017. "Coupled computational fluid dynamics/multibody dynamics method for wind turbine aero-servo-elastic simulation including drivetrain dynamics," Renewable Energy, Elsevier, vol. 101(C), pages 1037-1051.
    12. Wenbin Dong & Yihan Xing & Torgeir Moan, 2012. "Time Domain Modeling and Analysis of Dynamic Gear Contact Force in a Wind Turbine Gearbox with Respect to Fatigue Assessment," Energies, MDPI, vol. 5(11), pages 1-22, November.
    13. Jin, Xin & Li, Lang & Ju, Wenbin & Zhang, Zhaolong & Yang, Xiangang, 2016. "Multibody modeling of varying complexity for dynamic analysis of large-scale wind turbines," Renewable Energy, Elsevier, vol. 90(C), pages 336-351.
    14. Sethuraman, Latha & Venugopal, Vengatesan & Zavvos, Aristeidis & Mueller, Markus, 2014. "Structural integrity of a direct-drive generator for a floating wind turbine," Renewable Energy, Elsevier, vol. 63(C), pages 597-616.
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