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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Yajun Ren & Mingxuan Huang & Jungang Hao & Jiazhi Wang & Shuai Li & Ling Zhu & Haisheng Zhao & Wei Shi, 2024. "Local Structure Optimization Design of Floating Offshore Wind Turbine Platform Based on Response Surface Analysis," Energies, MDPI, vol. 17(24), pages 1-24, December.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:24:p:6316-:d:1544014
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    References listed on IDEAS

    as
    1. Victor Benifla & Frank Adam, 2022. "Development of a Genetic Algorithm Code for the Design of Cylindrical Buoyancy Bodies for Floating Offshore Wind Turbine Substructures," Energies, MDPI, vol. 15(3), pages 1-24, February.
    2. Wang, Jiazhi & Ren, Yajun & Shi, Wei & Collu, Maurizio & Venugopal, Vengatesan & Li, Xin, 2025. "Multi-objective optimization design for a 15 MW semisubmersible floating offshore wind turbine using evolutionary algorithm," Applied Energy, Elsevier, vol. 377(PB).
    3. Yang, Hezhen & Zhu, Yun & Lu, Qijin & Zhang, Jun, 2015. "Dynamic reliability based design optimization of the tripod sub-structure of offshore wind turbines," Renewable Energy, Elsevier, vol. 78(C), pages 16-25.
    4. Wan, Ling & Moan, Torgeir & Gao, Zhen & Shi, Wei, 2024. "A review on the technical development of combined wind and wave energy conversion systems," Energy, Elsevier, vol. 294(C).
    Full references (including those not matched with items on IDEAS)

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