Influence of extended potential-to-functional failure intervals through condition monitoring systems on offshore wind turbine availability

被引:21
作者
Koukoura, Sofia [1 ]
Scheu, Matti Niclas [2 ]
Kolios, Athanasios [1 ]
机构
[1] Univ Strathclyde, Dept Naval Architecture Ocean & Marine Engn, Henry Dyer Bldg,100 Montrose St, Glasgow G4 0LZ, Lanark, Scotland
[2] PEAK Wind ApS, Revelhojvej 13, DK-8200 Aarhus N, Denmark
基金
欧盟地平线“2020”;
关键词
Offshore wind energy; Availability; Operations and maintenance; P-F intervals; Condition monitoring; Monte-Carlo simulation; MAINTENANCE; OPTIMIZATION; RELIABILITY;
D O I
10.1016/j.ress.2020.107404
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Condition monitoring systems are deployed in various industries for decades contributing to optimizing operational performance and maintenance efforts. Several publications address this potential for application in the offshore wind energy industry; however, none attempts to quantify the impact that longer warning times ahead of a failure would have on asset availability. The aim of this paper is to bridge this gap by considering particularly the access restrictions for offshore operations through a probabilistic model which simulates existence of different condition monitoring systems on offshore wind turbines in the time domain. Results of this study quantify the positive impact that a longer warning time of potential-to-functional failure (P-F interval) has on availability, highlighting that variation of maintenance strategy through transformation of unplanned activities into planned interventions that can be conducted during a suitable weather window ahead of a component failure can lead to reduced operation and maintenance (O&M) costs.
引用
收藏
页数:10
相关论文
共 46 条
  • [1] [Anonymous], 2018, CONDITION MAINTENANC
  • [2] [Anonymous], 2016, PORTF REV SYST PERF
  • [3] Wind turbine reliability: A comprehensive review towards effective condition monitoring development
    Artigao, Estefania
    Martin-Martinez, Sergio
    Honrubia-Escribano, Andres
    Gomez-Lazaro, Emilio
    [J]. APPLIED ENERGY, 2018, 228 : 1569 - 1583
  • [4] Current Signature and Vibration Analyses to Diagnose an In-Service Wind Turbine Drive Train
    Artigao, Estefania
    Koukoura, Sofia
    Honrubia-Escribano, Andres
    Carroll, James
    McDonald, Alasdair
    Gomez-Lazaro, Emilio
    [J]. ENERGIES, 2018, 11 (04)
  • [5] On the importance of combining "the new" with "the old" - One important prerequisite for maintenance in Industry 4.0
    Bengtsson, Marcus
    Lundstrom, Gunnar
    [J]. PROCEEDINGS OF THE 8TH SWEDISH PRODUCTION SYMPOSIUM (SPS 2018), 2018, 25 : 118 - 125
  • [6] Failure rate, repair time and unscheduled O&M cost analysis of offshore wind turbines
    Carroll, James
    McDonald, Alasdair
    McMillan, David
    [J]. WIND ENERGY, 2016, 19 (06) : 1107 - 1119
  • [7] Reliability, availability, maintainability data review for the identification of trends in offshore wind energy applications
    Cevasco, D.
    Koukoura, S.
    Kolios, A. J.
    [J]. RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2021, 136
  • [8] A Markov chains prognostics framework for complex degradation processes
    Chiachio, Juan
    Jalon, Maria L.
    Chiachio, Manuel
    Kolios, Athanasios
    [J]. RELIABILITY ENGINEERING & SYSTEM SAFETY, 2020, 195
  • [9] Structural vibration monitoring and operational modal analysis of offshore wind turbine structure
    Dong, Xiaofeng
    Lian, Jijian
    Wang, Haijun
    Yu, Tongshun
    Zhao, Yue
    [J]. OCEAN ENGINEERING, 2018, 150 : 280 - 297
  • [10] EN, 2017, EN 13306, Maintenance. Maintenance terminology