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A comprehensive numerical model for aero-hydro-mooring analysis of a floating offshore wind turbine

Lookup NU author(s): Professor Zhiqiang HuORCiD

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Abstract

© 2024 Elsevier Ltd. This paper presents a comprehensive study of a Floating Offshore Wind Turbine (FOWT), requiring multidisciplinary expertise in floating platform hydrodynamics, mooring system dynamics, and wind turbine aerodynamics. We introduce a fully coupled numerical model, focusing specifically on the NREL's (National Renewable Energy Laboratory's) 5 MW OC4 FOWT. The model is validated through both numerical simulations using the Computational Fluid Dynamics (CFD) based software OpenFOAM and experimental results. Key findings demonstrate the model's accuracy in forecasting the aerodynamic behaviors of the turbine, the platform's response to motions, and the behavior of the mooring system across diverse wind and sea state scenarios. Furthermore, the study enhances the understanding of FOWT's stability and efficiency by examining the influence of different Center of gravity (COG) heights. Results show that reduction in COG height has a minor effect on heave and surge motion but significantly decreases pitch motion and mooring line tension, thereby improving static stability and reducing the impact of wave loads on dynamic responses. Additionally, the results show that this reduction in COG height enhances the aerodynamic power output, suggesting that optimized FOWT designs could achieve improved energy capture efficiency. These insights optimize FOWT design and efficiency, enhancing renewable energy performance.


Publication metadata

Author(s): Haider R, Shi W, Cai Y, Lin Z, Li X, Hu Z

Publication type: Article

Publication status: Published

Journal: Renewable Energy

Year: 2024

Volume: 237

Issue: Part C

Print publication date: 01/12/2024

Online publication date: 02/11/2024

Acceptance date: 31/10/2024

ISSN (print): 0960-1481

ISSN (electronic): 1879-0682

Publisher: Elsevier Ltd

URL: https://doi.org/10.1016/j.renene.2024.121793

DOI: 10.1016/j.renene.2024.121793


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