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Fully coupled aero-hydrodynamic analysis of a biomimetic fractal semi-submersible floating offshore wind turbine under wind-wave excitation conditions

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  • Huang, Haoda
  • Liu, Qingsong
  • Yue, Minnan
  • Miao, Weipao
  • Wang, Peilin
  • Li, Chun

Abstract

With wind energy utilization shifting to the deep sea, floating offshore wind turbines (FOWTs) have huge potential to improve the competitiveness of offshore wind energy generation. However, traditional FOWT systems are often in force imbalance due to the unique swaying characteristics caused by the unfixed foundation and high center of mass of the platform. Therefore, a novel bionic semi-submersible floating platform based on Victoria Amazonia (with random fractal structure) is proposed to increase the hydrodynamic stability of FOWT. A regular fractal structure with similar number of perforations and perforated area is also implemented to verify the effectiveness of the bionic FOWT. In this study, the unsteady computational fluid dynamic approach is adopted to simulate the aerodynamic and hydrodynamic response. More specifically, the dynamic fluid-body interaction module integrated in STAR-CCM+ is employed to establish a FOWT numerical model with rotating blades, tower, and mooring line system. Furthermore, the volume of fluid model in conjunction with the 6-DOF solver was used to efficiently solve the fluid-induced dynamic motion of FOWT in a multi-phase flow composed of air and water. Finally, the fully coupled calculation of the fractal structure FOWT was performed using the established reliable numerical model. The maximum average thrust and power of 736.43 kN and 5294.04 kW are obtained by random fractal FOWT in aerodynamic responses, while in hydrodynamic amplitude responses, the maximum decreases of 19.16% are obtained by both random fractal and regular fractal structures. As for amplitude responses in heave and surge, the random fractal FOWT of 12.91% and 5.05% decreases performs relatively better than the regular one (11.48% and 4.09% decreases). In addition, the visualization of unsteady flow fields and vortices in fractal structures is investigated in detail. Compared with the regular fractal structure, vortices within random fractal structure interact adequately with the pontoon walls, resulting in higher energy absorption effect and stability.

Suggested Citation

  • Huang, Haoda & Liu, Qingsong & Yue, Minnan & Miao, Weipao & Wang, Peilin & Li, Chun, 2023. "Fully coupled aero-hydrodynamic analysis of a biomimetic fractal semi-submersible floating offshore wind turbine under wind-wave excitation conditions," Renewable Energy, Elsevier, vol. 203(C), pages 280-300.
  • Handle: RePEc:eee:renene:v:203:y:2023:i:c:p:280-300
    DOI: 10.1016/j.renene.2022.12.060
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    References listed on IDEAS

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    1. Li, B. & Zhou, D.L. & Wang, Y. & Shuai, Y. & Liu, Q.Z. & Cai, W.H., 2020. "The design of a small lab-scale wind turbine model with high performance similarity to its utility-scale prototype," Renewable Energy, Elsevier, vol. 149(C), pages 435-444.
    2. Wang, Peilin & Liu, Qingsong & Li, Chun & Miao, Weipao & Luo, Shuai & Sun, Kang & Niu, Kailun, 2022. "Effect of trailing edge dual synthesis jets actuator on aerodynamic characteristics of a straight-bladed vertical axis wind turbine," Energy, Elsevier, vol. 238(PC).
    3. Rohini Janaki Balamurugan & Hussein A Z AL-bonsrulah & Vijayanandh Raja & Lokeshkumar Kumar & Sri Diviyalakshmi Kannan & Senthil Kumar Madasamy & Raffik Rasheed & Parvathy Rajendran & Mohammed Al-Bahr, 2022. "Design and multiperspectivity-based performance investigations of H-Darrieus vertical axis wind turbine through computational fluid dynamics adopted with moving reference frame approaches [Numerica," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 17, pages 784-806.
    4. Hou, Peng & Hu, Weihao & Chen, Cong & Soltani, Mohsen & Chen, Zhe, 2016. "Optimization of offshore wind farm layout in restricted zones," Energy, Elsevier, vol. 113(C), pages 487-496.
    5. Sebastian, T. & Lackner, M.A., 2012. "Development of a free vortex wake method code for offshore floating wind turbines," Renewable Energy, Elsevier, vol. 46(C), pages 269-275.
    6. Lee, Hakjin & Lee, Duck-Joo, 2019. "Numerical investigation of the aerodynamics and wake structures of horizontal axis wind turbines by using nonlinear vortex lattice method," Renewable Energy, Elsevier, vol. 132(C), pages 1121-1133.
    7. Sun, Jinjing & Sun, Xiaojing & Huang, Diangui, 2020. "Aerodynamics of vertical-axis wind turbine with boundary layer suction – Effects of suction momentum," Energy, Elsevier, vol. 209(C).
    8. 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.
    9. Jeon, Minu & Lee, Seungmin & Lee, Soogab, 2014. "Unsteady aerodynamics of offshore floating wind turbines in platform pitching motion using vortex lattice method," Renewable Energy, Elsevier, vol. 65(C), pages 207-212.
    10. Gharali, Kobra & Johnson, David A., 2012. "Numerical modeling of an S809 airfoil under dynamic stall, erosion and high reduced frequencies," Applied Energy, Elsevier, vol. 93(C), pages 45-52.
    11. 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.
    12. 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).
    13. Li, Y. & Castro, A.M. & Sinokrot, T. & Prescott, W. & Carrica, P.M., 2015. "Coupled multi-body dynamics and CFD for wind turbine simulation including explicit wind turbulence," Renewable Energy, Elsevier, vol. 76(C), pages 338-361.
    14. García Márquez, Fausto Pedro & Tobias, Andrew Mark & Pinar Pérez, Jesús María & Papaelias, Mayorkinos, 2012. "Condition monitoring of wind turbines: Techniques and methods," Renewable Energy, Elsevier, vol. 46(C), pages 169-178.
    15. 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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