Reliability, availability, maintainability data review for the identification of trends in offshore wind energy applications

被引:81
作者
Cevasco, D. [1 ]
Koukoura, S. [1 ]
Kolios, A. J. [1 ]
机构
[1] Univ Strathclyde, Dept Naval Architecture Ocean & Marine Engn, Glasgow G4 0LZ, Lanark, Scotland
基金
英国工程与自然科学研究理事会;
关键词
Onshore and offshore wind turbines; Reliability; Maintainability; Availability; Critical components; TURBINES; SYSTEMS;
D O I
10.1016/j.rser.2020.110414
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This work presents a comprehensive review and discussion of the identification of critical components of the currently installed and next generation of offshore wind turbines. A systematic review on the reliability, availability, and maintainability data of both offshore and onshore wind turbines is initially performed, collecting the results from 24 initiatives, at system and subsystem level. Due to the scarcity of data from the offshore wind industry, the analysis is complemented with the extensive experience from onshore structures. Trends based on the deployment parameters for the influence of design characteristics and environmental conditions on the onshore wind turbines' reliability and availability are first investigated. The estimation of the operational availability for a set of offshore wind farm scenarios allowed a comparison with the recently published performance statistics and the discussion of the integrity of the data available to date. The failure statistics of the systems deployed offshore are then discussed and compared to the onshore ones, with regard to their normalised results. The availability calculations supported the hypothesis of the negative impact of the offshore environmental conditions on the reliability figures. Nonetheless, similarities in the reliability figures of the blade adjustment system and the maintainability of the power generation and the control systems are outlined. Finally, to improve the performance prediction of future offshore projects, recommendations on the effort worth putting into research and data collection are provided.
引用
收藏
页数:21
相关论文
共 113 条
  • [61] Issues with Data Quality for Wind Turbine Condition Monitoring and Reliability Analyses
    Leahy, Kevin
    Gallagher, Colm
    O'Donovan, Peter
    O'Sullivan, Dominic T. J.
    [J]. ENERGIES, 2019, 12 (02):
  • [62] A review of reliability-based methods for risk analysis and their application in the offshore wind industry
    Leimeister, Mareike
    Kolios, Athanasios
    [J]. RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2018, 91 : 1065 - 1076
  • [63] Fault analysis of wind turbines in China
    Lin, Yonggang
    Tu, Le
    Liu, Hongwei
    Li, Wei
    [J]. RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2016, 55 : 482 - 490
  • [64] STATUS OF THE UNITED-STATES WIND POWER INDUSTRY
    LYNETTE, R
    [J]. JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS, 1988, 27 (1-3) : 327 - 336
  • [65] Ma K., 2015, POWER ELECT NEXT GEN, V5
  • [66] Guidelines and Cost-Benefit Analysis of the Structural Health Monitoring Implementation in Offshore Wind Turbine Support Structures
    Martinez-Luengo, Maria
    Shafiee, Mahmood
    [J]. ENERGIES, 2019, 12 (06)
  • [67] Data management for structural integrity assessment of offshore wind turbine support structures: data cleansing and missing data imputation
    Martinez-Luengo, Maria
    Shafiee, Mahmood
    Kolios, Athanasios
    [J]. OCEAN ENGINEERING, 2019, 173 : 867 - 883
  • [68] Structural health monitoring of offshore wind turbines: A review through the Statistical Pattern Recognition Paradigm
    Martinez-Luengo, Maria
    Kolios, Athanasios
    Wang, Lin
    [J]. RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2016, 64 : 91 - 105
  • [69] MRITYUNJAYA DH, 2017, P ASME 2017 POW C JO, P1
  • [70] Musial W., 2006, WIND TURBINE GEARBOX