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Investigation of dynamic wake model of a floating offshore wind turbine under heave, surge and pitch motion

Author

Listed:
  • Wenfeng, Li
  • Zhenzhou, Zhao
  • Yige, Liu
  • Huiwen, Liu
  • Shangshang, Wei
  • Ali, Kashif
  • Guodan, Dong
  • Yan, Liu
  • Yuanzhuo, Ma

Abstract

To accurately determine the characteristics of a floating offshore wind turbine (FOWT) wake, this paper proposes a dynamic wake model, referred to as HG-DFOWT. The wake response is predicted via the transient calculation method. The model takes into account the dynamic wake and rotor thrust variation caused by motion, as well as the corrections of wind shear and wake anisotropy. The proposed model uses a high-order Gaussian function to describe the wake distribution. The wake model is then modified by three motions: heave, surge, and pitch. This allows capturing the dynamic wake of FOWT. The prediction error is below 3 % and 5 % compared with wind tunnel test and wind farm measured data, respectively. In addition, the thrust coefficient and dynamic wake calculated by the proposed model are compared with CFD and experiment data, respectively, and the model achieves high prediction accuracy. Subsequently, the impacts of the single-degree-of-freedom (SDOF) and multiple-degree-of-freedom (MDOF) motions on the evolution of the wake flow are studied, clarifying the change characteristics of the wake flow in response to diverse motions. The proposed model can be used to predict the dynamic wake of FOWT under MDOF motion.

Suggested Citation

  • Wenfeng, Li & Zhenzhou, Zhao & Yige, Liu & Huiwen, Liu & Shangshang, Wei & Ali, Kashif & Guodan, Dong & Yan, Liu & Yuanzhuo, Ma, 2025. "Investigation of dynamic wake model of a floating offshore wind turbine under heave, surge and pitch motion," Renewable Energy, Elsevier, vol. 254(C).
    • Handle: RePEc:eee:renene:v:254:y:2025:i:c:s0960148125013278
    DOI: 10.1016/j.renene.2025.123665
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    References listed on IDEAS

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