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Fluid–structure interaction simulation of the effect of static yaw control on the aerodynamic responses and wake characteristics of floating offshore wind turbines

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  • Liu, Songyang
  • Xin, Zhiqiang
  • Wang, Lei
  • Xu, Yanming
  • Cai, Zhiming

Abstract

As an effective strategy for optimizing wind farm performance, static yaw control has been widely demonstrated to optimize fixed-bottom wind turbines (FBWTs). However, its impact on floating offshore wind turbines (FOWTs) remains unexplored. In this study, the aerodynamic responses and wake characteristics of FOWTs under four yaw angles and four wind speeds are investigated, and the effects of turbine types and spacing between turbines are also studied. The combination of computational fluid dynamics (CFD) software SOWFA and turbine simulation tool OpenFAST implements fluid–structure interaction (FSI) calculations. The effects of yaw control on FOWTs are analyzed by examining rotor power, fatigue loads, platform motion, wake velocity deficit, and vortex structures. The results indicate that, compared to FBWTs, FOWTs inherently have a lower wake velocity deficit, and the platform motion responses weaken the effects of yaw control, resulting in less pronounced power enhancement than in FBWTs. Specifically, FOWTs achieve only a 1.75% power enhancement at the optimal yaw angle, which is significantly lower than the 5.62% power enhancement achieved by FBWTs at the optimal yaw angle. The effect of yaw control on total rotor power varies across different wind speed conditions. Although yaw control does not alter the frequency spectrum of rotor power, the associated increase in fatigue loads suggests that it is beneficial at lower speeds but should be avoided at higher speeds.

Suggested Citation

  • Liu, Songyang & Xin, Zhiqiang & Wang, Lei & Xu, Yanming & Cai, Zhiming, 2025. "Fluid–structure interaction simulation of the effect of static yaw control on the aerodynamic responses and wake characteristics of floating offshore wind turbines," Energy, Elsevier, vol. 330(C).
  • Handle: RePEc:eee:energy:v:330:y:2025:i:c:s0360544225022315
    DOI: 10.1016/j.energy.2025.136589
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    1. Sarlak, H. & Meneveau, C. & Sørensen, J.N., 2015. "Role of subgrid-scale modeling in large eddy simulation of wind turbine wake interactions," Renewable Energy, Elsevier, vol. 77(C), pages 386-399.
    2. Wen, Binrong & Tian, Xinliang & Dong, Xingjian & Peng, Zhike & Zhang, Wenming & Wei, Kexiang, 2019. "A numerical study on the angle of attack to the blade of a horizontal-axis offshore floating wind turbine under static and dynamic yawed conditions," Energy, Elsevier, vol. 168(C), pages 1138-1156.
    3. Zhong, Hongmin & Du, Pingan & Tang, Fangning & Wang, Li, 2015. "Lagrangian dynamic large-eddy simulation of wind turbine near wakes combined with an actuator line method," Applied Energy, Elsevier, vol. 144(C), pages 224-233.
    4. He, Ruiyang & Yang, Hongxing & Lu, Lin, 2023. "Optimal yaw strategy and fatigue analysis of wind turbines under the combined effects of wake and yaw control," Applied Energy, Elsevier, vol. 337(C).
    5. Sun, Jili & Chen, Zheng & Yu, Hao & Gao, Shan & Wang, Bin & Ying, You & Sun, Yong & Qian, Peng & Zhang, Dahai & Si, Yulin, 2022. "Quantitative evaluation of yaw-misalignment and aerodynamic wake induced fatigue loads of offshore Wind turbines," Renewable Energy, Elsevier, vol. 199(C), pages 71-86.
    6. He, Ruiyang & Yang, Hongxing & Lu, Lin & Gao, Xiaoxia, 2024. "Site-specific wake steering strategy for combined power enhancement and fatigue mitigation within wind farms," Renewable Energy, Elsevier, vol. 225(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. 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.
    9. 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.
    10. Kang, Yujoo & Kim, Hyebin & Lee, Sang, 2023. "Benefits of individual pitch control on offshore wind turbine submerged in upstream wake," Renewable Energy, Elsevier, vol. 217(C).
    11. Rezaeiha, Abdolrahim & Micallef, Daniel, 2021. "Wake interactions of two tandem floating offshore wind turbines: CFD analysis using actuator disc model," Renewable Energy, Elsevier, vol. 179(C), pages 859-876.
    12. He, Ruiyang & Yang, Hongxing & Sun, Shilin & Lu, Lin & Sun, Haiying & Gao, Xiaoxia, 2022. "A machine learning-based fatigue loads and power prediction method for wind turbines under yaw control," Applied Energy, Elsevier, vol. 326(C).
    13. Dose, B. & Rahimi, H. & Herráez, I. & Stoevesandt, B. & Peinke, J., 2018. "Fluid-structure coupled computations of the NREL 5 MW wind turbine by means of CFD," Renewable Energy, Elsevier, vol. 129(PA), pages 591-605.
    14. Chihoon Hur & Carlos Ferreira & Gerard Schepers, 2022. "Applicability of Dynamic Inflow Models of HAWT in Yawed Flow Conditions," Energies, MDPI, vol. 15(24), pages 1-15, December.
    15. Sina Shamsoddin & Fernando Porté-Agel, 2014. "Large Eddy Simulation of Vertical Axis Wind Turbine Wakes," Energies, MDPI, vol. 7(2), pages 1-23, February.
    16. De Cillis, Giovanni & Semeraro, Onofrio & Leonardi, Stefano & De Palma, Pietro & Cherubini, Stefania, 2022. "Dynamic-mode-decomposition of the wake of the NREL-5MW wind turbine impinged by a laminar inflow," Renewable Energy, Elsevier, vol. 199(C), pages 1-10.
    17. Jeong, Min-Soo & Kim, Sang-Woo & Lee, In & Yoo, Seung-Jae & Park, K.C., 2013. "The impact of yaw error on aeroelastic characteristics of a horizontal axis wind turbine blade," Renewable Energy, Elsevier, vol. 60(C), pages 256-268.
    18. Lozon, Ericka & Hall, Matthew, 2023. "Coupled loads analysis of a novel shared-mooring floating wind farm," Applied Energy, Elsevier, vol. 332(C).
    19. Li, YuanTso & Yu, Wei & Sarlak, Hamid, 2025. "Wake interaction of dual surging FOWT rotors in tandem," Renewable Energy, Elsevier, vol. 239(C).
    20. Chanprasert, W. & Sharma, R.N. & Cater, J.E. & Norris, S.E., 2022. "Large Eddy Simulation of wind turbine fatigue loading and yaw dynamics induced by wake turbulence," Renewable Energy, Elsevier, vol. 190(C), pages 208-222.
    21. Zong, Haohua & Porté-Agel, Fernando, 2021. "Experimental investigation and analytical modelling of active yaw control for wind farm power optimization," Renewable Energy, Elsevier, vol. 170(C), pages 1228-1244.
    22. 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.
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