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Developing a multi-region coupled analysis method for floating offshore wind turbine based on OpenFOAM

Author

Listed:
  • Cai, Yefeng
  • Li, Xin
  • Zhao, Haisheng
  • Shi, Wei
  • Wang, Ziming

Abstract

As floating offshore wind turbines (FOWTs) continue to scale up in size, the simulation technology for coupling aerodynamic, hydrodynamic, and mooring forces presents significant challenges. This study proposes a multi-region coupled simulation solver, MRFoam, for FOWTs. The multi-region coupled method divides the computational domain into two parts: the turbine region and the floating platform region. This division reduces the number of grid cells and facilitates modular simulations for various structural forms and operating conditions. Compared to the traditional fully coupled method, the multi-region coupled method significantly improves computational efficiency. For various models and grid quantities, the computational efficiency of the multi-region coupled method is nearly double that of the fully coupled method with the results remaining almost identical. Subsequently, the multi-region coupled model is applied for the aerodynamic, hydrodynamic and mooring dynamic analyses of a large-scale FOWT (IEA 15 MW) under various wind and wave conditions. The study found that a decrease in wind speed increases the amplitude of surge response while decreasing the amplitude of heave response. Additionally, at lower wind speeds, an increase in wave height amplifies the platform's motion response, while the variation in aerodynamic thrust is slightly influenced by the change in the platform's motion amplitude.

Suggested Citation

  • Cai, Yefeng & Li, Xin & Zhao, Haisheng & Shi, Wei & Wang, Ziming, 2025. "Developing a multi-region coupled analysis method for floating offshore wind turbine based on OpenFOAM," Renewable Energy, Elsevier, vol. 238(C).
  • Handle: RePEc:eee:renene:v:238:y:2025:i:c:s0960148124020949
    DOI: 10.1016/j.renene.2024.122026
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    References listed on IDEAS

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    1. Zhang, Tianyi & Wang, Wenhua & Li, Xin & Wang, Bin, 2023. "Vibration mitigation in offshore wind turbine under combined wind-wave-earthquake loads using the tuned mass damper inerter," Renewable Energy, Elsevier, vol. 216(C).
    2. Tran, Thanh Toan & Kim, Dong-Hyun, 2016. "A CFD study into the influence of unsteady aerodynamic interference on wind turbine surge motion," Renewable Energy, Elsevier, vol. 90(C), pages 204-228.
    3. Xie, Wei & Zeng, Pan & Lei, Liping, 2015. "Wind tunnel experiments for innovative pitch regulated blade of horizontal axis wind turbine," Energy, Elsevier, vol. 91(C), pages 1070-1080.
    4. Fleming, Paul A. & Gebraad, Pieter M.O. & Lee, Sang & van Wingerden, Jan-Willem & Johnson, Kathryn & Churchfield, Matt & Michalakes, John & Spalart, Philippe & Moriarty, Patrick, 2014. "Evaluating techniques for redirecting turbine wakes using SOWFA," Renewable Energy, Elsevier, vol. 70(C), pages 211-218.
    5. Cai, Yefeng & Zhao, Haisheng & Li, Xin & Liu, Yuanchuan, 2023. "Aerodynamic analysis for different operating states of floating offshore wind turbine induced by pitching movement," Energy, Elsevier, vol. 285(C).
    6. Li, Siyi & Zhang, Mingrui & Piggott, Matthew D., 2023. "End-to-end wind turbine wake modelling with deep graph representation learning," Applied Energy, Elsevier, vol. 339(C).
    7. Zhou, Yang & Xiao, Qing & Liu, Yuanchuan & Incecik, Atilla & Peyrard, Christophe & Wan, Decheng & Pan, Guang & Li, Sunwei, 2022. "Exploring inflow wind condition on floating offshore wind turbine aerodynamic characterisation and platform motion prediction using blade resolved CFD simulation," Renewable Energy, Elsevier, vol. 182(C), pages 1060-1079.
    8. Wan, Ling & Moan, Torgeir & Gao, Zhen & Shi, Wei, 2024. "A review on the technical development of combined wind and wave energy conversion systems," Energy, Elsevier, vol. 294(C).
    9. Yang Zhou & Qing Xiao & Yuanchuan Liu & Atilla Incecik & Christophe Peyrard & Sunwei Li & Guang Pan, 2019. "Numerical Modelling of Dynamic Responses of a Floating Offshore Wind Turbine Subject to Focused Waves," Energies, MDPI, vol. 12(18), pages 1-31, September.
    10. Tran, Thanh Toan & Kim, Dong-Hyun, 2016. "Fully coupled aero-hydrodynamic analysis of a semi-submersible FOWT using a dynamic fluid body interaction approach," Renewable Energy, Elsevier, vol. 92(C), pages 244-261.
    11. Fang, Yuan & Duan, Lei & Han, Zhaolong & Zhao, Yongsheng & Yang, He, 2020. "Numerical analysis of aerodynamic performance of a floating offshore wind turbine under pitch motion," Energy, Elsevier, vol. 192(C).
    12. Guo, Yize & Wang, Xiaodong & Mei, Yuanhang & Ye, Zhaoliang & Guo, Xiaojiang, 2022. "Effect of coupled platform pitch-surge motions on the aerodynamic characters of a horizontal floating offshore wind turbine," Renewable Energy, Elsevier, vol. 196(C), pages 278-297.
    13. Liu, Yuanchuan & Xiao, Qing & Incecik, Atilla & Peyrard, Christophe & Wan, Decheng, 2017. "Establishing a fully coupled CFD analysis tool for floating offshore wind turbines," Renewable Energy, Elsevier, vol. 112(C), pages 280-301.
    14. Kyle, Ryan & Lee, Yeaw Chu & Früh, Wolf-Gerrit, 2020. "Propeller and vortex ring state for floating offshore wind turbines during surge," Renewable Energy, Elsevier, vol. 155(C), pages 645-657.
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