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Dynamic reliability analysis of a floating offshore wind turbine under wind-wave joint excitations via probability density evolution method

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Listed:
  • Song, Yupeng
  • Basu, Biswajit
  • Zhang, Zili
  • Sørensen, John Dalsgaard
  • Li, Jie
  • Chen, Jianbing

Abstract

Floating offshore wind turbine (FOWT) towers are dynamically sensitive to wind and wave excitations. Since the wave tends to be harsher with the increase of wind speed, FOWT towers are likely to experience the most severe vibration operating at the cut-out wind speed. In the present study, the short-term dynamic reliability of a spar-type FOWT is evaluated based on the probability density evolution method (PDEM). For this purpose, an integrated coupled dynamics model for the FOWT is firstly established by incorporating the multibody dynamics with the finite element (FE) method. Next, the conditional joint probability distribution of the significant wave height and peak spectral wave period at the cut-out wind speed is constructed based on the copula model. Then, the stochastic dynamic response and reliability of the FOWT can be analyzed via PDEM. The numerical example of reliability analysis of a 5-MW spar-type FOWT operating at the cut-out wind speed is carried out, in which the long-term met-ocean data at a South China Sea site is utilized. Simulation results show that the reliability of the FOWT for normal operation is less than 0.2 when the acceleration at the tower top is adopted as the failure criterion.

Suggested Citation

  • Song, Yupeng & Basu, Biswajit & Zhang, Zili & Sørensen, John Dalsgaard & Li, Jie & Chen, Jianbing, 2021. "Dynamic reliability analysis of a floating offshore wind turbine under wind-wave joint excitations via probability density evolution method," Renewable Energy, Elsevier, vol. 168(C), pages 991-1014.
    • Handle: RePEc:eee:renene:v:168:y:2021:i:c:p:991-1014
    DOI: 10.1016/j.renene.2020.12.093
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    References listed on IDEAS

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    1. Kim, Dong Hyawn & Lee, Sang Geun, 2015. "Reliability analysis of offshore wind turbine support structures under extreme ocean environmental loads," Renewable Energy, Elsevier, vol. 79(C), pages 161-166.
    2. Dißmann, J. & Brechmann, E.C. & Czado, C. & Kurowicka, D., 2013. "Selecting and estimating regular vine copulae and application to financial returns," Computational Statistics & Data Analysis, Elsevier, vol. 59(C), pages 52-69.
    3. Li, Xuan & Zhang, Wei, 2020. "Long-term assessment of a floating offshore wind turbine under environmental conditions with multivariate dependence structures," Renewable Energy, Elsevier, vol. 147(P1), pages 764-775.
    4. Liebscher, Eckhard, 2008. "Construction of asymmetric multivariate copulas," Journal of Multivariate Analysis, Elsevier, vol. 99(10), pages 2234-2250, November.
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    7. 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.
    8. Chen, Jianbing & Song, Yupeng & Peng, Yongbo & Nielsen, Søren R.K. & Zhang, Zili, 2020. "An efficient rotational sampling method of wind fields for wind turbine blade fatigue analysis," Renewable Energy, Elsevier, vol. 146(C), pages 2170-2187.
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    Cited by:

    1. Cheng, Yue & Fang, Genshen & Zhao, Lin & Hong, Xu & Ge, Yaojun, 2024. "Uncertainty propagation of flutter analysis for long-span bridges using probability density evolution method," Reliability Engineering and System Safety, Elsevier, vol. 251(C).
    2. Song, Yupeng & Sun, Tao & Zhang, Zili, 2023. "Fatigue reliability analysis of floating offshore wind turbines considering the uncertainty due to finite sampling of load conditions," Renewable Energy, Elsevier, vol. 212(C), pages 570-588.
    3. Chen, Jianbing & Liu, Zenghui & Song, Yupeng & Peng, Yongbo & Li, Jie, 2022. "Experimental study on dynamic responses of a spar-type floating offshore wind turbine," Renewable Energy, Elsevier, vol. 196(C), pages 560-578.

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