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Dynamic reliability based design optimization of the tripod sub-structure of offshore wind turbines

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  • Yang, Hezhen
  • Zhu, Yun
  • Lu, Qijin
  • Zhang, Jun

Abstract

This work presents an efficient methodology for the Reliability Based Design Optimization (RBDO) of the tripod sub-structure of offshore wind turbines considering dynamic response requirements. The cost of supporting structure of offshore wind turbines is so high that optimization in the design stage is a basic requirement. Traditional design optimization methodology for offshore structures uses deterministic modeling. However, the existence of uncertainties, such as manufacturing tolerances, material properties, and environmental loads, requires a probabilistic optimization technique. Uncertainties in the offshore wind turbines design process may have a strong effect on its dynamic responses but very little researches have been conducted to incorporate the uncertainty property into design optimization of the supporting structures. In this study, a framework of a dynamic reliability based design optimization for tripod sub-structures was proposed. Firstly, a Finite Element (FE) model of a tripod sub-structure of the NERL 5 MW wind turbine was constructed for dynamic response analysis in time domain and generating several accurate sampling points. Secondly, an efficient approximate model was built utilizing these sampling points to replace the original time consuming dynamic response analysis of FE model. At last, this approximate model was used during the optimum iterative procedure with a global optimization algorithm to gain the final best design point considering uncertainties. In this optimization methodology, some sizes of structural components, applied loads, and some material properties are considered as random variables. The structural stress and natural frequency are considered as constraints and the weight of the structure is considered as the objective function. The reliability of the structure is finally determined through Monte Carlo simulations. The results show that the proposed methodology can obtain a reliable design with better dynamic performance and less weight. Compared with the deterministic optimization, the presented dynamic Reliability Based Design Optimization of tripod sub-structure of offshore wind turbines is more rational and practical and this efficient methodology can be applied in the design of other similar offshore structures.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:renene:v:78:y:2015:i:c:p:16-25
    DOI: 10.1016/j.renene.2014.12.061
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    References listed on IDEAS

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    1. Chen, Jinjin, 2011. "Development of offshore wind power in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 5013-5020.
    2. Shan, Songqing & Wang, G. Gary, 2008. "Reliable design space and complete single-loop reliability-based design optimization," Reliability Engineering and System Safety, Elsevier, vol. 93(8), pages 1218-1230.
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    Citations

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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. Jianhua Zhang & Won-Hee Kang & Ke Sun & Fushun Liu, 2019. "Reliability-Based Serviceability Limit State Design of a Jacket Substructure for an Offshore Wind Turbine," Energies, MDPI, vol. 12(14), pages 1-16, July.
    3. Liao, Ding & Zhu, Shun-Peng & Correia, José A.F.O. & De Jesus, Abílio M.P. & Veljkovic, Milan & Berto, Filippo, 2022. "Fatigue reliability of wind turbines: historical perspectives, recent developments and future prospects," Renewable Energy, Elsevier, vol. 200(C), pages 724-742.
    4. Fu, Shifeng & Li, Zheng & Zhu, Weijun & Han, Xingxing & Liang, Xiaoling & Yang, Hua & Shen, Wenzhong, 2023. "Study on aerodynamic performance and wake characteristics of a floating offshore wind turbine under pitch motion," Renewable Energy, Elsevier, vol. 205(C), pages 317-325.
    5. 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.
    6. 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.
    7. Oh, Ki-Yong & Nam, Woochul & Ryu, Moo Sung & Kim, Ji-Young & Epureanu, Bogdan I., 2018. "A review of foundations of offshore wind energy convertors: Current status and future perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 88(C), pages 16-36.
    8. Yan, Yangtian & Yang, Yang & Bashir, Musa & Li, Chun & Wang, Jin, 2022. "Dynamic analysis of 10 MW offshore wind turbines with different support structures subjected to earthquake loadings," Renewable Energy, Elsevier, vol. 193(C), pages 758-777.
    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).
    10. Su, Jie & Li, Yu & Chen, Yaoran & Han, Zhaolong & Zhou, Dai & Zhao, Yongsheng & Bao, Yan, 2021. "Aerodynamic performance assessment of φ-type vertical axis wind turbine under pitch motion," Energy, Elsevier, vol. 225(C).
    11. Liu, Wenyi, 2016. "Design and kinetic analysis of wind turbine blade-hub-tower coupled system," Renewable Energy, Elsevier, vol. 94(C), pages 547-557.
    12. Subbulakshmi, A. & Verma, Mohit & Keerthana, M. & Sasmal, Saptarshi & Harikrishna, P. & Kapuria, Santosh, 2022. "Recent advances in experimental and numerical methods for dynamic analysis of floating offshore wind turbines — An integrated review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 164(C).
    13. Okpokparoro, Salem & Sriramula, Srinivas, 2021. "Uncertainty modeling in reliability analysis of floating wind turbine support structures," Renewable Energy, Elsevier, vol. 165(P1), pages 88-108.

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