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Reliability-based design optimization of monopile transition piece for offshore wind turbine system

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  • Lee, Yeon-Seung
  • Choi, Byung-Lyul
  • Lee, Ji Hyun
  • Kim, Soo Young
  • Han, Soonhung

Abstract

This paper presents a reliability-based design optimization (RBDO) method for a monopile transition piece in an offshore wind turbine system. Two design approaches are investigated for the cost-effective and reliable design of the monopile transition piece: deterministic optimization (DO) and RBDO. First, dynamic response analysis of a reference offshore wind turbine is conducted to estimate design loads considering site conditions off the southwest coast of Korea. Second, DO for minimizing the mass of a conical monopile connection is carried out, including an assessment of the reliability of the DO design. Next, RBDO is performed to achieve a design with the desired reliability while concurrently minimizing the mass of the monopile transition piece. The present study shows that the structural design of the monopile connection is mostly dictated by the fatigue limit state and that DO does not guarantee structural reliability even though the design satisfies all limit state function conditions. The proposed RBDO process is shown to speed up the design cycle and enhance the reliability of the grouted connection for offshore wind turbine support structures.

Suggested Citation

  • Lee, Yeon-Seung & Choi, Byung-Lyul & Lee, Ji Hyun & Kim, Soo Young & Han, Soonhung, 2014. "Reliability-based design optimization of monopile transition piece for offshore wind turbine system," Renewable Energy, Elsevier, vol. 71(C), pages 729-741.
    • Handle: RePEc:eee:renene:v:71:y:2014:i:c:p:729-741
    DOI: 10.1016/j.renene.2014.06.017
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    References listed on IDEAS

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    1. Lozano-Minguez, E. & Kolios, A.J. & Brennan, F.P., 2011. "Multi-criteria assessment of offshore wind turbine support structures," Renewable Energy, Elsevier, vol. 36(11), pages 2831-2837.
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    Cited by:

    1. Leimeister, Mareike & Kolios, Athanasios, 2021. "Reliability-based design optimization of a spar-type floating offshore wind turbine support structure," Reliability Engineering and System Safety, Elsevier, vol. 213(C).
    2. Donghyeon Yoo & Jinhwan Park & Jaemin Moon & Changwan Kim, 2021. "Reliability-Based Design Optimization for Reducing the Performance Failure and Maximizing the Specific Energy of Lithium-Ion Batteries Considering Manufacturing Uncertainty of Porous Electrodes," Energies, MDPI, vol. 14(19), pages 1-15, September.
    3. Lee, Yeon-Seung & González, José A. & Lee, Ji Hyun & Kim, Young Il & Park, K.C. & Han, Soonhung, 2016. "Structural topology optimization of the transition piece for an offshore wind turbine with jacket foundation," Renewable Energy, Elsevier, vol. 85(C), pages 1214-1225.
    4. Gentils, Theo & Wang, Lin & Kolios, Athanasios, 2017. "Integrated structural optimisation of offshore wind turbine support structures based on finite element analysis and genetic algorithm," Applied Energy, Elsevier, vol. 199(C), pages 187-204.
    5. Okoro, Aghatise & Khan, Faisal & Ahmed, Salim, 2023. "Dependency effect on the reliability-based design optimization of complex offshore structure," Reliability Engineering and System Safety, Elsevier, vol. 231(C).
    6. Zhiyu Jiang & Weifei Hu & Wenbin Dong & Zhen Gao & Zhengru Ren, 2017. "Structural Reliability Analysis of Wind Turbines: A Review," Energies, MDPI, vol. 10(12), pages 1-25, December.
    7. Leimeister, Mareike & Kolios, Athanasios, 2018. "A review of reliability-based methods for risk analysis and their application in the offshore wind industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 1065-1076.
    8. Sudip Basack & Ghritartha Goswami & Zi-Hang Dai & Parinita Baruah, 2022. "Failure-Mechanism and Design Techniques of Offshore Wind Turbine Pile Foundation: Review and Research Directions," Sustainability, MDPI, vol. 14(19), pages 1-20, October.
    9. Wang, L. & Kolios, A. & Liu, X. & Venetsanos, D. & Rui, C., 2022. "Reliability of offshore wind turbine support structures: A state-of-the-art review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).

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