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Performance prediction of a multi-MW wind turbine adopting an advanced hydrostatic transmission

Author

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  • Silva, Paolo
  • Giuffrida, Antonio
  • Fergnani, Nicola
  • Macchi, Ennio
  • Cantù, Matteo
  • Suffredini, Roberto
  • Schiavetti, Massimo
  • Gigliucci, Gianluca

Abstract

This paper analyzes the performance of multi-MW wind turbines by means of a specific numerical model, with the aim of evaluating the application of an advanced hydrostatic transmission in a conventional state-of-the-art machine. The interest for such a solution is mainly related to the potential increase of reliability and reduction of maintenance costs in spite of an expected reduction of performance. The implemented numerical algorithm considers the energy model of single components of the whole turbine drive-train, from the blades to the electric grid. The model is firstly applied to a conventional turbine and validated according to available yearly data from a wind farm. Then, it is used to calculate the annual energy production for different drive-train configurations applied to the same rotor, including the widespread solution with induction generator and inverter connected to the rotor, permanent magnet generator with direct drive connection or the proposed advanced hydrostatic transmission. The differences in yearly electricity output among the investigated configurations are within few percentage points.

Suggested Citation

  • Silva, Paolo & Giuffrida, Antonio & Fergnani, Nicola & Macchi, Ennio & Cantù, Matteo & Suffredini, Roberto & Schiavetti, Massimo & Gigliucci, Gianluca, 2014. "Performance prediction of a multi-MW wind turbine adopting an advanced hydrostatic transmission," Energy, Elsevier, vol. 64(C), pages 450-461.
    • Handle: RePEc:eee:energy:v:64:y:2014:i:c:p:450-461
    DOI: 10.1016/j.energy.2013.11.034
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    References listed on IDEAS

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    1. Kugi, Andreas & Schlacher, Kurt & Aitzetmüller, Heinz & Hirmann, Gottfried, 2000. "Modeling and simulation of a hydrostatic transmission with variable-displacement pump," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 53(4), pages 409-414.
    2. Sun, Xiaojing & Huang, Diangui & Wu, Guoqing, 2012. "The current state of offshore wind energy technology development," Energy, Elsevier, vol. 41(1), pages 298-312.
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    1. Shamshirband, Shahaboddin & Petković, Dalibor & Amini, Amineh & Anuar, Nor Badrul & Nikolić, Vlastimir & Ćojbašić, Žarko & Mat Kiah, Miss Laiha & Gani, Abdullah, 2014. "Support vector regression methodology for wind turbine reaction torque prediction with power-split hydrostatic continuous variable transmission," Energy, Elsevier, vol. 67(C), pages 623-630.
    2. Tao Wang & He Wang, 2017. "Research on an Integrated Hydrostatic-Driven Electric Generator with Controllable Load for Renewable Energy Applications," Energies, MDPI, vol. 10(9), pages 1-17, August.
    3. 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.
    4. He, Chengbing & Wang, Jianchong & Wang, Runze & Zhang, Xiaoxiang, 2021. "Research on the characteristics of hydraulic wind turbine with multi-accumulator," Renewable Energy, Elsevier, vol. 168(C), pages 1177-1188.
    5. Watson, Simon & Moro, Alberto & Reis, Vera & Baniotopoulos, Charalampos & Barth, Stephan & Bartoli, Gianni & Bauer, Florian & Boelman, Elisa & Bosse, Dennis & Cherubini, Antonello & Croce, Alessandro , 2019. "Future emerging technologies in the wind power sector: A European perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 113(C), pages 1-1.
    6. 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.
    7. Zengguang Liu & Guolai Yang & Liejiang Wei & Daling Yue & Yanhua Tao, 2018. "Research on the Robustness of the Constant Speed Control of Hydraulic Energy Storage Generation," Energies, MDPI, vol. 11(5), pages 1-14, May.

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