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Numerical Methodologies for the Analysis of Horizontal-Axis Floating Offshore Wind Turbines (F-HAWTs): A State-of-the-Art Review

Author

Listed:
  • Naghmeh Akbari Zadeh

    (Centre for Renewables and Energy, School of Engineering, Dundalk Institute of Technology, A91 K584 Dundalk, Ireland)

  • Peter Ryan

    (Centre for Renewables and Energy, School of Engineering, Dundalk Institute of Technology, A91 K584 Dundalk, Ireland)

  • David M. Kennedy

    (Department of Mechanical Engineering, Technological University Dublin, D07 EWV4 Dublin, Ireland)

  • Fergal O’Rourke

    (Centre for Renewables and Energy, School of Engineering, Dundalk Institute of Technology, A91 K584 Dundalk, Ireland)

Abstract

In recent decades, wind turbine installations have become a popular option to meet the world’s growing demand for energy. Both onshore and offshore wind turbines form pivotal components of the electricity sector. Onshore wind energy is now a mature technology, with significant experience gained by wind farm developers and operators over the last couple of decades. However, as a more recent enterprise, the offshore wind industry still requires significantly more development before the technologies and operations reach maturity. To date, floating platforms at sea have been utilised extensively for the oil and gas industry. While a lot of the expertise and technology is transferable to the floating offshore wind industry, significant development work remains; for example, there is significant work required due to the different device types. Compared to floating oil and gas platforms, floating wind turbine platforms have a higher centre of gravity, which influences their performance and complexity. The successful large-scale development of floating offshore wind farms will require significant expertise and learning from the onshore wind, oil, and gas sectors. There are a wide range of software packages available to predict the operational behaviour of floating offshore wind turbines. In spite of this, it is still extremely difficult to create a fully coupled model of a floating wind turbine that can accurately and comprehensively model the turbine aerodynamics, hydrodynamics, servodynamics, structural dynamics, and mooring dynamics. This paper presents details on various fully coupled and uncoupled software packages and methodologies utilised to simulate floating offshore wind turbine performances. Various kinds of mooring systems, floating wind turbines, analysis methods, and experimental validation methods are comprehensively described. This paper serves as a reliable methodological guideline for researchers and wind industry professionals engaged in the design/analysis of wind farm projects.

Suggested Citation

  • Naghmeh Akbari Zadeh & Peter Ryan & David M. Kennedy & Fergal O’Rourke, 2024. "Numerical Methodologies for the Analysis of Horizontal-Axis Floating Offshore Wind Turbines (F-HAWTs): A State-of-the-Art Review," Energies, MDPI, vol. 18(1), pages 1-34, December.
  • Handle: RePEc:gam:jeners:v:18:y:2024:i:1:p:22-:d:1551840
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    References listed on IDEAS

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    1. Yang, Yang & Bashir, Musa & Michailides, Constantine & Li, Chun & Wang, Jin, 2020. "Development and application of an aero-hydro-servo-elastic coupling framework for analysis of floating offshore wind turbines," Renewable Energy, Elsevier, vol. 161(C), pages 606-625.
    2. Dai, J.C. & Hu, Y.P. & Liu, D.S. & Long, X., 2011. "Aerodynamic loads calculation and analysis for large scale wind turbine based on combining BEM modified theory with dynamic stall model," Renewable Energy, Elsevier, vol. 36(3), pages 1095-1104.
    3. Gao, Ju & Griffith, D. Todd & Sakib, Mohammad Sadman & Boo, Sung Youn, 2022. "A semi-coupled aero-servo-hydro numerical model for floating vertical axis wind turbines operating on TLPs," Renewable Energy, Elsevier, vol. 181(C), pages 692-713.
    4. Halil Karadeniz, 2013. "Stochastic Analysis of Offshore Steel Structures," Springer Series in Reliability Engineering, Springer, edition 127, number 978-1-84996-190-5, June.
    5. 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.
    6. Wang, Shuaishuai & Moan, Torgeir & Nejad, Amir R., 2021. "A comparative study of fully coupled and de-coupled methods on dynamic behaviour of floating wind turbine drivetrains," Renewable Energy, Elsevier, vol. 179(C), pages 1618-1635.
    7. Maheri, Alireza & Noroozi, Siamak & Toomer, Chris A. & Vinney, John, 2006. "WTAB, a computer program for predicting the performance of horizontal axis wind turbines with adaptive blades," Renewable Energy, Elsevier, vol. 31(11), pages 1673-1685.
    8. 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).
    9. He, Jiao & Jin, Xin & Xie, Shuangyi & Cao, Le & Wang, Yaming & Lin, Yifan & Wang, Ning, 2020. "CFD modeling of varying complexity for aerodynamic analysis of H-vertical axis wind turbines," Renewable Energy, Elsevier, vol. 145(C), pages 2658-2670.
    10. Lanzafame, R. & Messina, M., 2012. "BEM theory: How to take into account the radial flow inside of a 1-D numerical code," Renewable Energy, Elsevier, vol. 39(1), pages 440-446.
    11. Vaz, Jerson Rogério Pinheiro & Pinho, João Tavares & Mesquita, André Luiz Amarante, 2011. "An extension of BEM method applied to horizontal-axis wind turbine design," Renewable Energy, Elsevier, vol. 36(6), pages 1734-1740.
    12. 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.
    13. Søren Hjort, 2019. "Non-Empirical BEM Corrections Relating to Angular and Axial Momentum Conservation," Energies, MDPI, vol. 12(2), pages 1-28, January.
    14. 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.
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