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SEM-REV offshore energy site wind-wave bivariate statistics by hindcast

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  • Gaidai, Oleg
  • Xu, Xiaosen
  • Wang, Junlei
  • Ye, Renchuan
  • Cheng, Yong
  • Karpa, Oleh

Abstract

Accurate estimation of extreme wind and wave conditions is critical for ocean engineering activities and applications. Various renewable energy offshore structures, particularly floating wind turbines are designed to sustain extreme wind and wave induced loads. Statistics of wind speeds and wave heights is the key input for structural safety and reliability study. Consequently, development of novel robust methods, able to predict extreme wind-wave conditions is essential.

Suggested Citation

  • Gaidai, Oleg & Xu, Xiaosen & Wang, Junlei & Ye, Renchuan & Cheng, Yong & Karpa, Oleh, 2020. "SEM-REV offshore energy site wind-wave bivariate statistics by hindcast," Renewable Energy, Elsevier, vol. 156(C), pages 689-695.
    • Handle: RePEc:eee:renene:v:156:y:2020:i:c:p:689-695
    DOI: 10.1016/j.renene.2020.04.113
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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. Larsén, Xiaoli Guo & Kalogeri, Christina & Galanis, George & Kallos, George, 2015. "A statistical methodology for the estimation of extreme wave conditions for offshore renewable applications," Renewable Energy, Elsevier, vol. 80(C), pages 205-218.
    3. N. Teena & V. Sanil Kumar & K. Sudheesh & R. Sajeev, 2012. "Statistical analysis on extreme wave height," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 64(1), pages 223-236, October.
    4. Stuart G. Coles & Jonathan A. Tawn, 1994. "Statistical Methods for Multivariate Extremes: An Application to Structural Design," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 43(1), pages 1-31, March.
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    Cited by:

    1. Ning, De-zhi & Mu, Di & Wang, Rong-quan & Mayon, Robert, 2023. "Experimental and numerical investigations on the solitary wave actions on a land-fixed OWC wave energy converter," Energy, Elsevier, vol. 282(C).

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