Comprehensive performance evaluation of offshore wind turbines under complex environmental loads
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Affiliation:

1.a. Hubei Key Laboratory of Hydroelectric Machinery Design & Maintenance; 1b. College of Mechanical & Power, China Three Gorges University, Yichang, Hubei 443002, P. R. China; 2. State Key Laboratory of Mechanical Transmission for Advanced Equipment, Chongqing University, Chongqing 400044, P. R. China

Clc Number:

TH12

Fund Project:

Supported by National Natural Science Foundation of China(52405067), Hubei Provincial Natural Science Foundation of China(2023AFB066), the Opening Foundation of Hubei Key Laboratory of Hydroelectric Machinery Design and Maintenance(2021KJX10), and the Special Key Program for Technological Innovation and Application Development of Chongqing(cstc2021jscx-jbgsX0003).

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    Abstract:

    Considering the structural characteristics and both internal and external excitations of offshore wind turbines, a rigid-flexible coupled multi-body dynamic model for large-scale turbines is established. A comprehensive performance evaluation method is proposed, integrating the interpretive structural modeling(ISM) technique with the analytic network process(ANP). A multi-dimensional performance evaluation framework is built, including five primary indicators and eleven secondary indicators. The ISM method is employed to analyze the interrelationships among evaluation indicators and to develop a multi-level hierarchical structure for comprehensive assessment. The ANP is then used to construct judgment matrices, supermatrices, and limit supermatrices, through which the weights of evaluation indicators are determined. Based on these results, the comprehensive performance of offshore wind turbines is quantitatively evaluated, and a comparative analysis of two turbine models is conducted. The results show that the most influential factors affecting overall performance include blade length, time-varying reliability of bearings, gear contact fatigue reliability, and unit megawatt weight. Additionally, the 5 MW wind turbine demonstrates superior comprehensive performance compared with the 6.2 MW model.

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李垚,余小辉,倪高翔,朱才朝,杜雪松,谭建军.复杂环境载荷下海上风电机组综合性能评估[J].重庆大学学报,2025,48(5):76~90

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History
  • Received:January 26,2024
  • Revised:
  • Adopted:
  • Online: July 11,2025
  • Published:
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