Nonlinear hydrodynamics of floating offshore wind turbines: A review

Zeng, Xinmeng; Shao, Yanlin; Feng, Xingya; Xu, Kun; Jin, Ruijia; Li, Huajun

doi:10.1016/j.rser.2023.114092

Renewable and Sustainable Energy Reviews

2024

DOI: 10.1016/j.rser.2023.114092

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Nonlinear hydrodynamics of floating offshore wind turbines: A review

Xinmeng Zeng,

Yanlin Shao,

Xingya Feng

et al.

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2024

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Cited by 37 publications

References 258 publications

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Parameter identification of dynamical systems based on short-term prediction by the generalized cell mapping method with deep learning

Yue,

Jing,

Liu

et al. 2024

Nonlinear Dyn

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Parameter identification of dynamical systems based on short-term prediction by the generalized cell mapping method with deep learning

Yue,

Jing,

Liu

et al. 2024

Nonlinear Dyn

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Nonlinear analysis of hydrodynamics of a shallow-draft floating wind turbine

Terrero-Gonzalez,

Dai,

Papadopoulos

et al. 2024

Nonlinear Dyn

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This study investigates numerically the dynamic responses of the T-Omega Wind novel concept of Floating Offshore Wind Turbine. The turbine is light-weight, has a shallow-draft and a relatively high centre of gravity that allows it to glide over harsh marine environments. The turbine responses are studied under regular wave excitation, considering most probable ranges of discrete sea wave heights and periods representative of real ocean conditions. A multibody virtual model is developed, simplified to a rigid 6 DOF system and experimentally validated in the state-of-art Marine Simulator to define the types of dynamical responses for both “Low” and “High” Sea States. The dynamics of coupled heave and pitch DOFs are evaluated with time histories, phase-plane portraits, Poincaré sections and FFT analyses to conclude that period-1 stable solutions exist for all studied cases of “Low Sea States”, whereas period-2, period-3 and period-4 periodic responses are identified for short wave periods of excitation under “High Sea States” conditions. Simulation results show that regions where period-1 responses exist are highly sensitive to wave height and can widen as the wave amplitude reduces. Finally, the turbines’ nonlinearities generated by the floats’ geometry are observed in this dynamical system, which are identified to be related to variation in float waterplane area and particularly observable for “High Sea States”.

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Towards zero emission: exploring innovations in wind turbine design for sustainable energy a comprehensive review

Omer-Alsultan,

Alsahlani,

Mohamed-Alsultan

et al. 2024

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Nonlinear hydrodynamics of floating offshore wind turbines: A review

Cited by 37 publications

References 258 publications

Parameter identification of dynamical systems based on short-term prediction by the generalized cell mapping method with deep learning

Parameter identification of dynamical systems based on short-term prediction by the generalized cell mapping method with deep learning

Nonlinear analysis of hydrodynamics of a shallow-draft floating wind turbine

Towards zero emission: exploring innovations in wind turbine design for sustainable energy a comprehensive review

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