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A numerical framework for analyzing the coupled aero-wake-hydro-structural dynamics of large floating vertical axis wind turbines

Author

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  • Liu, Dongsheng
  • Deng, Wanru
  • Liu, Liqin
  • Yang, Wei

Abstract

Renewed interest in floating vertical axis wind turbines (FVAWTs) has emerged with the increasing size of offshore wind turbines and their deployment in deeper waters. During operation, the dynamic characteristics of large FVAWTs are influenced by the coupling effects of intricate wake dynamics and large motions of the floating platform. In addition, the elastic deformation of blades impacts the dynamic characteristics of large FVAWTs and the formation of downward wakes. To address these coupled phenomena, this study develops a numerical framework to analyze the coupled aero-wake-hydro-structural dynamics of large FVAWTs. The reliability of the framework is verified by validating the aerodynamic performance and wake structures. Specially, by integrating the Treecode algorithm, the framework achieves remarkable computational efficiency. Utilizing a 10 MW FVAWT as a case study, the influence of platform motion and aero-elastic coupling on the wake characteristics and power performance is systematically examined. The results demonstrate that platform motion enlarges the wake expansion and offsets the wake center. Blade deformation increases the wake diffusion and affects the wake recovery. Moreover, platform motion and aero-elastic coupling impact the spanwise distribution of the power coefficient. This study provides a comprehensive framework for the dynamic evaluation of large FVAWTs in the near-wake flow.

Suggested Citation

  • Liu, Dongsheng & Deng, Wanru & Liu, Liqin & Yang, Wei, 2025. "A numerical framework for analyzing the coupled aero-wake-hydro-structural dynamics of large floating vertical axis wind turbines," Energy, Elsevier, vol. 335(C).
    • Handle: RePEc:eee:energy:v:335:y:2025:i:c:s0360544225035832
    DOI: 10.1016/j.energy.2025.137941
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    References listed on IDEAS

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    1. Wang, Xinbao & Cai, Chang & Cai, Shang-Gui & Wang, Tengyuan & Wang, Zekun & Song, Juanjuan & Rong, Xiaomin & Li, Qing'an, 2023. "A review of aerodynamic and wake characteristics of floating offshore wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 175(C).
    2. Deng, Wanru & Liu, Liqin & Dai, Yuanjun & Wu, Haitao & Yuan, Zhiming, 2024. "A prediction method for blade deformations of large-scale FVAWTs using dynamics theory and machine learning techniques," Energy, Elsevier, vol. 304(C).
    3. Amiri, Mojtaba Maali & Shadman, Milad & Estefen, Segen F., 2024. "A review of physical and numerical modeling techniques for horizontal-axis wind turbine wakes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 193(C).
    4. Greco, Luca & Testa, Claudio, 2021. "Wind turbine unsteady aerodynamics and performance by a free-wake panel method," Renewable Energy, Elsevier, vol. 164(C), pages 444-459.
    5. Yadav, Sandeep & Veeravalli, Srinivas V. & Singh, Sidh Nath, 2024. "Effect of rotor spacing, overlapping and non-overlapping, on the performance of a coupled counter-rotating twin-rotor VAWT using CFD," Renewable Energy, Elsevier, vol. 221(C).
    6. Zheng, Jiancai & Wang, Nina & Wan, Decheng & Strijhak, Sergei, 2023. "Numerical investigations of coupled aeroelastic performance of wind turbines by elastic actuator line model," Applied Energy, Elsevier, vol. 330(PB).
    7. Zhang, Dan & Wu, Zhenglong & Chen, Yaoran & Kuang, Limin & Peng, Yan & Zhou, Dai & Tu, Yu, 2024. "Full-scale vs. scaled aerodynamics of 5-MW offshore VAWTs under pitch motion: A numerical analysis," Applied Energy, Elsevier, vol. 372(C).
    8. Su, Ouming & Li, Yan & Li, Guoyan & Cui, Yiwen & Li, Haoran & Wang, Bin & Meng, Hang & Li, Yaolong & Liang, Jinfeng, 2024. "Nonlinear harmonic resonant behaviors and bifurcation in a Two Degree-of-Freedom Duffing oscillator coupled system of Tension Leg Platform type Floating Offshore Wind Turbine," Chaos, Solitons & Fractals, Elsevier, vol. 189(P1).
    9. Tescione, G. & Simão Ferreira, C.J. & van Bussel, G.J.W., 2016. "Analysis of a free vortex wake model for the study of the rotor and near wake flow of a vertical axis wind turbine," Renewable Energy, Elsevier, vol. 87(P1), pages 552-563.
    10. Lei, Hang & Su, Jie & Bao, Yan & Chen, Yaoran & Han, Zhaolong & Zhou, Dai, 2019. "Investigation of wake characteristics for the offshore floating vertical axis wind turbines in pitch and surge motions of platforms," Energy, Elsevier, vol. 166(C), pages 471-489.
    11. Chowdhury, Abdullah Mobin & Akimoto, Hiromichi & Hara, Yutaka, 2016. "Comparative CFD analysis of Vertical Axis Wind Turbine in upright and tilted configuration," Renewable Energy, Elsevier, vol. 85(C), pages 327-337.
    12. Le Fouest, Sébastien & Mulleners, Karen, 2022. "The dynamic stall dilemma for vertical-axis wind turbines," Renewable Energy, Elsevier, vol. 198(C), pages 505-520.
    13. Cheng, Zhengshun & Madsen, Helge Aagaard & Gao, Zhen & Moan, Torgeir, 2017. "A fully coupled method for numerical modeling and dynamic analysis of floating vertical axis wind turbines," Renewable Energy, Elsevier, vol. 107(C), pages 604-619.
    14. Jaime Liew & Kirby S. Heck & Michael F. Howland, 2024. "Unified momentum model for rotor aerodynamics across operating regimes," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    15. Su, Jie & Li, Yu & Chen, Yaoran & Han, Zhaolong & Zhou, Dai & Zhao, Yongsheng & Bao, Yan, 2021. "Aerodynamic performance assessment of φ-type vertical axis wind turbine under pitch motion," Energy, Elsevier, vol. 225(C).
    16. Wang, Tengyuan & Cai, Chang & Liu, Junbo & Peng, Chaoyi & Wang, Yibo & Sun, Xiangyu & Zhong, Xiaohui & Zhang, Jingjing & Li, Qingan, 2024. "Wake characteristics and vortex structure evolution of floating offshore wind turbine under surge motion," Energy, Elsevier, vol. 302(C).
    17. Peng, H.Y. & Liu, M.N. & Liu, H.J. & Lin, K., 2022. "Optimization of twin vertical axis wind turbines through large eddy simulations and Taguchi method," Energy, Elsevier, vol. 240(C).
    18. Liu, Qingsong & Bashir, Musa & Iglesias, Gregorio & Miao, Weipao & Yue, Minnan & Xu, Zifei & Yang, Yang & Li, Chun, 2024. "Investigation of aero-hydro-elastic-mooring behavior of a H-type floating vertical axis wind turbine using coupled CFD-FEM method," Applied Energy, Elsevier, vol. 372(C).
    19. Bangga, Galih & Dessoky, Amgad & Wu, Zhenlong & Rogowski, Krzysztof & Hansen, Martin O.L., 2020. "Accuracy and consistency of CFD and engineering models for simulating vertical axis wind turbine loads," Energy, Elsevier, vol. 206(C).
    20. Ghigo, Alberto & Faraggiana, Emilio & Giorgi, Giuseppe & Mattiazzo, Giuliana & Bracco, Giovanni, 2024. "Floating Vertical Axis Wind Turbines for offshore applications among potentialities and challenges: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 193(C).
    21. Zhang, Zhihao & Yang, Haoran & Wang, Runzhong & Zhang, Kai & Zhou, Dai & Zhu, Hongbo & Zhang, Puyang & Han, Zhaolong & Cao, Yong & Tu, Jiahuang, 2025. "Effects of combined platform rotation and pitch motions on aerodynamic loading and wake recovery of a single-point moored twin-rotor floating wind turbine," Energy, Elsevier, vol. 320(C).
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