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Predicting the performance of a floating wind energy converter in a realistic sea

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  • Wang, Yingguang
  • Wang, Lifu

Abstract

In this paper, the performances of a floating wind energy converter (the National Renewable Energy Laboratory 5 MW wind turbine installed on the ITI energy barge) in a realistic, multi-directional random sea are rigorously investigated. The wind loads acting on the floating wind energy converter are also fully considered in the numerical simulation process. Meanwhile, in order to improve the simulation efficiency, a new state space model (the FDI-SS model) is utilized to approximate the convolution integral term when solving the motion equation of the floating wind energy converter. For comparison purpose, the simulation results when the convolution integral term in the motion equation is approximated by a commonly used state space model based on the time domain (TD) realization theory are also included. The simulation results in this paper are systematically analyzed and compared, and the accuracy and efficiency of the new FDI-SS model are verified. Moreover, the simulation results in this article demonstrate the great necessity of using a realistic, multi-directional random sea state when calculating the generated electrical power and the dynamic responses of a floating wind energy converter.

Suggested Citation

  • Wang, Yingguang & Wang, Lifu, 2017. "Predicting the performance of a floating wind energy converter in a realistic sea," Renewable Energy, Elsevier, vol. 101(C), pages 637-646.
    • Handle: RePEc:eee:renene:v:101:y:2017:i:c:p:637-646
    DOI: 10.1016/j.renene.2016.09.025
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    References listed on IDEAS

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    1. Wang, Yingguang & Xia, Yiqing & Liu, Xiaojun, 2013. "Establishing robust short-term distributions of load extremes of offshore wind turbines," Renewable Energy, Elsevier, vol. 57(C), pages 606-619.
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