Coupled analysis of floating offshore wind turbines with new mooring systems by CFD method

Rizwan Haider, Wei Shi* (Corresponding Author), Zaibin Lin, Yefeng Cai, Haisheng Zhao, Xin Li

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

This paper presents a fully coupled aero-hydro-mooring numerical model of the National Renewable Energy Laboratory's (NREL) 5 MW OC4 semi-submersible Floating Offshore Wind Turbine (FOWT). The model's accuracy was validated through comparisons with existing experimental and numerical data, utilizing OpenFOAM, a Computational Fluid Dynamics (CFD) software. The key contributions of this study include demonstrating the model's precision in predicting aerodynamic performance, motion responses, and mooring system dynamics under wind and wave conditions. Additionally, a comparative analysis is conducted between a Conventional mooring system (CMS) and a New mooring system (NMS). The results show that the NMS offers improved stability in surge and heave motions, crucial for operational effectiveness and resilience. Furthermore, the NMS demonstrates a more efficient stress distribution and also reduced tensions in the mooring lines, contributing to the long-term durability and safety of the structure. In terms of aerodynamic performance, the differences between the two mooring systems are limited due to the combined surge and pitch motion phase difference. Future research will focus on optimizing these phase differences to enhance performance and refine the cost-efficiency of the mooring system.
Original languageEnglish
JournalOcean Engineering
Volume312
Issue number1
Early online date26 Aug 2024
DOIs
Publication statusPublished - 15 Nov 2024

Funding

This research is funded by the National Natural Science Foundation of China (Grant No. 52371268, 52071058, 51939002). This paper is also partially funded by the Key Technology Research and Development Program (2022YFB4201300), the Natural Science Foundation of Liaoning Province (2022-KF-18-01), the Royal Society International Exchanges grant (IEC\NSFC\223281), and the Engineering and Physical Sciences Research Council, UK, Supergen ORE Impact Hub 2023 (EP/Y016297/1) - ECR Research Fund Call and Extreme Loading on FOWT under Complex Environmental Conditions (EP/T004150/1).

FundersFunder number
National Natural Science Foundation of China52371268, 52071058, 51939002
Key Technology Research and Development Program2022YFB4201300
The Royal Society IEC\NSFC\223281
Engineering and Physical Sciences Research CouncilEP/Y016297/1, EP/T004150/1

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