Local Structure Optimization Design of Floating Offshore Wind Turbine Platform Based on Response Surface Analysis

Yajun Ren, Mingxuan Huang, Jungang Hao, Jiazhi Wang, Shuai Li, Ling Zhu, Haisheng Zhao () and Wei Shi
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Yajun Ren: China Renewable Energy Engineering Institute, Beijing 100120, China
Mingxuan Huang: State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116024, China
Jungang Hao: China Renewable Energy Engineering Institute, Beijing 100120, China
Jiazhi Wang: State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116024, China
Shuai Li: China Renewable Energy Engineering Institute, Beijing 100120, China
Ling Zhu: China Renewable Energy Engineering Institute, Beijing 100120, China
Haisheng Zhao: State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116024, China
Wei Shi: State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116024, China

Energies, 2024, vol. 17, issue 24, 1-24

Abstract: The floating platform is a critical component of the floating offshore wind turbine (FOWT), and its internal structure design plays a key role in ensuring the safe operation of the FOWT. In this study, the local model of the floating platform was firstly parameterized, and a response surface model was obtained by conducting an orthogonal test. The response surface model was then optimized using a gradient descent algorithm. Finally, the internal structure arrangement was validated through a safety calibration. The optimization results indicate that the maximum stress of the optimized model is reduced by 22.12% compared to the original model, while maintaining the same mass, centroid, and other mass-related parameters. The optimization significantly improves the safety of the structure and provides valuable references for the design and construction of a FOWT platform.

Keywords: floating offshore wind turbine; structural strength; response surface optimization; gradient descent method (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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