Hurricane risk assessment of offshore wind turbines

被引:54
|
作者
Hallowell, Spencer T. [1 ]
Myers, Andrew T. [2 ]
Arwade, Sanjay R. [1 ]
Pang, Weichiang [3 ]
Rawal, Prashant [3 ]
Hines, Eric M. [4 ]
Hajjar, Jerome F. [2 ]
Qiao, Chi [2 ]
Valamanesh, Vahid [5 ]
Wei, Kai [6 ]
Carswell, Wystan [7 ]
Fontana, Casey M. [1 ]
机构
[1] Univ Massachusetts Amherst, Amherst, MA 01003 USA
[2] Northeastern Univ, Boston, MA 02115 USA
[3] Clemson Univ, Clemson, SC 29631 USA
[4] Tufts Univ, Medford, MA 02155 USA
[5] Risk Management Solut, Newark, CA USA
[6] Southwest Jiaotong Univ, Chengdu, Sichuan, Peoples R China
[7] Haley & Aldrich Inc, New York, NY USA
基金
美国国家科学基金会;
关键词
Offshore wind; Risk; Hurricane; Fragility; Framework; SECTION SLENDERNESS LIMITS; CIRCULAR STEEL TUBES; BENDING TESTS; RELIABILITY; STRENGTH; DESIGN; MODEL; VARIABILITY;
D O I
10.1016/j.renene.2018.02.090
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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 similar to 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 x 10(-10) and 3.4 x 10(-4) for a functional yaw control system and between 1.5 x 10(-7) and 1.6 x 10(-3) for a non-functional yaw control system. (C) 2018 Elsevier Ltd. All rights reserved.
引用
收藏
页码:234 / 249
页数:16
相关论文
共 50 条
  • [41] Risk Assessment of Offshore Wind Turbines Suction Bucket Foundation Subject to Multi-Hazard Events
    Ngo, Duc-Vu
    Kim, Young-Jin
    Kim, Dong-Hyawn
    [J]. ENERGIES, 2023, 16 (05)
  • [42] ON THE SIMULATION OF WIND, WAVES AND CURRENTS DURING HURRICANE SANDY FOR ASSESSING THE PERFORMANCE OF JACKET-SUPPORTED OFFSHORE WIND TURBINES
    Kim, E.
    Manuel, L.
    [J]. PROCEEDINGS OF THE ASME 35TH INTERNATIONAL CONFERENCE ON OCEAN, OFFSHORE AND ARCTIC ENGINEERING , 2016, VOL 6, 2016,
  • [43] Scour protection assessment of monopile foundation design for offshore wind turbines
    Ma, Hongwang
    Chen, Chen
    [J]. OCEAN ENGINEERING, 2021, 231 (231)
  • [44] Fatigue Life Assessment for Power Cables in Floating Offshore Wind Turbines
    Sobhaniasl, Mohsen
    Petrini, Francesco
    Karimirad, Madjid
    Bontempi, Franco
    [J]. ENERGIES, 2020, 13 (12)
  • [45] Review of robot-based damage assessment for offshore wind turbines
    Liu, Y.
    Hajj, M.
    Bao, Y.
    [J]. RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2022, 158
  • [46] Walk-to-work accessibility assessment for floating offshore wind turbines
    Guanche, Raul
    Martini, Michele
    Jurado, Alfonso
    Losada, Inigo J.
    [J]. OCEAN ENGINEERING, 2016, 116 : 216 - 225
  • [47] Performance-based assessment of the monopile foundation of offshore wind turbines
    Wang, Tianpeng
    Zhang, Zechao
    Zhang, Jie
    Chen, Zhihai
    Xian, Jiantang
    Zhang, Lulu
    [J]. OCEAN ENGINEERING, 2022, 266
  • [48] Risk-based inspection planning optimisation of offshore wind turbines
    Rangel-Ramirez, Jose G.
    Sorensen, John D.
    [J]. STRUCTURE AND INFRASTRUCTURE ENGINEERING, 2012, 8 (05) : 473 - 481
  • [49] Risk Analysis for Offshore Wind Turbines Using Aggregation Operators and VIKOR
    Mentes, Ayhan
    Abbasli, Nurlan
    [J]. TRANSACTIONS ON MARITIME SCIENCE-TOMS, 2023, 12 (01):
  • [50] Optimal Risk-Based Inspection Planning for Offshore Wind Turbines
    Rangel-Ramirez, Jose G.
    Sorensen, John D.
    [J]. INTERNATIONAL JOURNAL OF STEEL STRUCTURES, 2008, 8 (04) : 295 - 303