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Hurricane risk assessment of offshore wind turbines

Author

Listed:
  • Hallowell, Spencer T.
  • Myers, Andrew T.
  • Arwade, Sanjay R.
  • Pang, Weichiang
  • Rawal, Prashant
  • Hines, Eric M.
  • Hajjar, Jerome F.
  • Qiao, Chi
  • Valamanesh, Vahid
  • Wei, Kai
  • Carswell, Wystan
  • Fontana, Casey M.

Abstract

A barrier to the development of the offshore wind resource along the U.S. Atlantic coast is a lack of quantitative measures of the risk to offshore wind turbines (OWTs) from hurricanes. The research presented in this paper quantifies the risk of failure of OWTs to hurricane-induced wind and waves by developing and implementing a risk assessment framework that is adapted from a well-established framework in performance-based earthquake engineering. Both frameworks involve the convolution of hazard intensity measures (IMs) with engineering demand parameters (EDPs) and damage measures (DMs) to estimate probabilities of damage or failure. The adapted framework in this study is implemented and applied to a hypothetical scenario wherein portions of nine existing Wind Farm Areas (WFAs), spanning the U.S. Atlantic coast, are populated with ∼7000 5 MW OWTs supported by monopiles. The IMs of wind and wave are calculated with a catalog representing 100,000 years of simulated hurricane activity for the Atlantic basin, the EDPs are calculated with 24 1-h time history simulations, and a fragility function for DM is estimated by combining variability observed in over one hundred flexural tests of hollow circular tubes found in the literature. The results of the study are that, for hurricane-induced wind and wave, the mean lifetime (i.e., 20-year) probability of structural failure of the tower or monopile of OWTs installed within the nine WFAs along the U.S. Atlantic coast ranges between 7.3 × 10−10 and 3.4 × 10−4 for a functional yaw control system and between 1.5 × 10−7 and 1.6 × 10−3 for a non-functional yaw control system.

Suggested Citation

  • Hallowell, Spencer T. & Myers, Andrew T. & Arwade, Sanjay R. & Pang, Weichiang & Rawal, Prashant & Hines, Eric M. & Hajjar, Jerome F. & Qiao, Chi & Valamanesh, Vahid & Wei, Kai & Carswell, Wystan & Fo, 2018. "Hurricane risk assessment of offshore wind turbines," Renewable Energy, Elsevier, vol. 125(C), pages 234-249.
  • Handle: RePEc:eee:renene:v:125:y:2018:i:c:p:234-249
    DOI: 10.1016/j.renene.2018.02.090
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    References listed on IDEAS

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    1. Kenneth A. Froot, 1999. "The Financing of Catastrophe Risk," NBER Books, National Bureau of Economic Research, Inc, number froo99-1, March.
    2. Vahid Valamanesh & Andrew T. Myers & Sanjay R. Arwade & Jerome F. Hajjar & Eric Hines & Weichiang Pang, 2016. "Wind-wave prediction equations for probabilistic offshore hurricane hazard analysis," 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. 83(1), pages 541-562, August.
    3. Paul Kleindorfer & Howard Kunreuther, 1999. "Challenges Facing the Insurance Industry in Managing Catastrophic Risks," NBER Chapters, in: The Financing of Catastrophe Risk, pages 149-194, National Bureau of Economic Research, Inc.
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    Cited by:

    1. Chen, Yisu & Wu, Di & Yu, Yuguo & Gao, Wei, 2021. "Do cyclone impacts really matter for the long-term performance of an offshore wind turbine?," Renewable Energy, Elsevier, vol. 178(C), pages 184-201.
    2. Wang, Hao & Wang, Tongguang & Ke, Shitang & Hu, Liang & Xie, Jiaojie & Cai, Xin & Cao, Jiufa & Ren, Yuxin, 2023. "Assessing code-based design wind loads for offshore wind turbines in China against typhoons," Renewable Energy, Elsevier, vol. 212(C), pages 669-682.
    3. Atul Patil & Chaitanya Pathak & Bejoy Alduse, 2023. "Review of Natural Hazard Risks for Wind Farms," Energies, MDPI, vol. 16(3), pages 1-29, January.
    4. Liu, Min & Qin, Jianjun & Lu, Da-Gang & Zhang, Wei-Heng & Zhu, Jiang-Sheng & Faber, Michael Havbro, 2022. "Towards resilience of offshore wind farms: A framework and application to asset integrity management," Applied Energy, Elsevier, vol. 322(C).
    5. Shen, Zhonghui & Wei, Kai, 2021. "Stochastic model of tropical cyclones along China coast including the effects of spatial heterogeneity and ocean feedback," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    6. Charlton, T.S. & Rouainia, M., 2022. "Geotechnical fragility analysis of monopile foundations for offshore wind turbines in extreme storms," Renewable Energy, Elsevier, vol. 182(C), pages 1126-1140.
    7. Rebecca J. Barthelmie & Kaitlyn E. Dantuono & Emma J. Renner & Frederick L. Letson & Sara C. Pryor, 2021. "Extreme Wind and Waves in U.S. East Coast Offshore Wind Energy Lease Areas," Energies, MDPI, vol. 14(4), pages 1-25, February.
    8. Zuo, Haoran & Bi, Kaiming & Hao, Hong & Xin, Yu & Li, Jun & Li, Chao, 2020. "Fragility analyses of offshore wind turbines subjected to aerodynamic and sea wave loadings," Renewable Energy, Elsevier, vol. 160(C), pages 1269-1282.

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