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Improving the reliability and energy production of large wind turbine with a digital hydrostatic drivetrain

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  • Wang, Feng
  • Chen, Jincheng
  • Xu, Bing
  • Stelson, Kim A.

Abstract

Gearbox failure is one of the major factors causing the increased downtime in modern wind turbines. This increases the turbine maintenance cost and therefore the turbine cost of energy. A hydrostatic transmission not only improves the turbine reliability through its “soft” transmission, but also eliminates the use of power converter through its continuous variable transmission function. A hydrostatic wind turbine usually employs a fixed displacement pump to drive a variable displacement motor. The variable displacement motor runs at partial displacement when the wind speed is below the rated wind speed, leading to low drivetrain efficiency. Moreover, large variable displacement motors for large utility wind turbine are not commercially available. Therefore in this paper a digital hydrostatic transmission solution for large utility wind turbine has been proposed. The large variable displacement motor was replaced by combining several fixed displacement motors and a small variable displacement motor with some digital encoding scheme. Two encoding schemes have been proposed for digital hydrostatic transmission. The modeling and design of the digital hydrostatic wind turbine were presented. A hydrostatic wind turbine control based on kw2 control law has been proposed. A dynamic simulation model of the digital hydrostatic wind turbine has been developed. The proposed digital hydrostatic drive solution has been compared with a conventional hydrostatic solution in a commercial 2.5 MW wind turbine. Simulation studies verified the feasibility and the engineering practice of the proposed digital hydrostatic drive solution.

Suggested Citation

  • Wang, Feng & Chen, Jincheng & Xu, Bing & Stelson, Kim A., 2019. "Improving the reliability and energy production of large wind turbine with a digital hydrostatic drivetrain," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    • Handle: RePEc:eee:appene:v:251:y:2019:i:c:4
    DOI: 10.1016/j.apenergy.2019.113309
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    References listed on IDEAS

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    Cited by:

    1. Chao Ai & Wei Gao & Qinyu Hu & Yankang Zhang & Lijuan Chen & Jiawei Guo & Zengrui Han, 2020. "Application of the Feedback Linearization in Maximum Power Point Tracking Control for Hydraulic Wind Turbine," Energies, MDPI, vol. 13(6), pages 1-18, March.
    2. Jiang, Zhiyu & Yang, Limin & Gao, Zhen & Moan, Torgeir, 2022. "Integrated dynamic analysis of a spar floating wind turbine with a hydraulic drivetrain," Renewable Energy, Elsevier, vol. 201(P1), pages 608-623.
    3. Xin Wang & Zhongyu Wang & Lei Xie & Songlin Wang & Zhongshan Wang & Wenxing Ma, 2024. "Research on the New Hydrostatic Transmission System of Wheel Loaders Based on Fuzzy Sliding Mode Control," Energies, MDPI, vol. 17(3), pages 1-23, January.
    4. Lin, Zi & Cevasco, Debora & Collu, Maurizio, 2020. "A methodology to develop reduced-order models to support the operation and maintenance of offshore wind turbines," Applied Energy, Elsevier, vol. 259(C).
    5. Zielinski, Michał & Myszkowski, Adam & Pelic, Marcin & Staniek, Roman, 2022. "Low-speed radial piston pump as an effective alternative power transmission for small hydropower plants," Renewable Energy, Elsevier, vol. 182(C), pages 1012-1027.
    6. Roggenburg, Michael & Esquivel-Puentes, Helber A. & Vacca, Andrea & Bocanegra Evans, Humberto & Garcia-Bravo, Jose M. & Warsinger, David M. & Ivantysynova, Monika & Castillo, Luciano, 2020. "Techno-economic analysis of a hydraulic transmission for floating offshore wind turbines," Renewable Energy, Elsevier, vol. 153(C), pages 1194-1204.
    7. Postnikov, Ivan, 2022. "A reliability assessment of the heating from a hybrid energy source based on combined heat and power and wind power plants," Reliability Engineering and System Safety, Elsevier, vol. 221(C).

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