Analysis of wind and wave data to assess maintenance access to offshore wind farms

被引:0
|
作者
Dowell, J. [1 ]
Zitrou, A. [1 ]
Walls, L. [1 ]
Bedford, T. [1 ]
Infield, D. [1 ]
机构
[1] Univ Strathclyde, Ctr Doctoral Training, Glasgow, Lanark, Scotland
关键词
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
For offshore wind farms, maintenance operations are only possible under specific weather conditions. This has a strong impact on farm availability: given a failure, there is a chance that the maintenance crew is not able access the site safely, but has to wait for appropriate weather conditions to arise. To model the uncertainty in offshore wind farm availability growth, which is our ultimate goal, we require a probability assessment of weather windows of specific durations. This paper presents the analysis of wind and wave data collected at an offshore wind farm in the North Sea and discusses how we might extract weather window and waiting time information to support availability growth modelling. We examine the statistics of the waiting time associated with different levels of maintenance of various subassemblies of the wind turbine. Wind and wave limitations assosiated with a given maintenance operation will be critical factors in determining the level of access available to the wind farm and it is shown that slight improvement in vessel capability can result in significantly reduced waiting times and greater access.
引用
收藏
页码:743 / 750
页数:8
相关论文
共 50 条
  • [41] Decision Support Models for Operations and Maintenance for Offshore Wind Farms: A Review
    Seyr, Helene
    Muskulus, Michael
    [J]. APPLIED SCIENCES-BASEL, 2019, 9 (02):
  • [42] Reflections on integrating operation and maintenance activities of offshore wind farms and mariculture
    Michler-Cieluch, T.
    Krause, G.
    Buck, B. H.
    [J]. OCEAN & COASTAL MANAGEMENT, 2009, 52 (01) : 57 - 68
  • [43] Accessibility assessment for operation and maintenance of offshore wind farms in the North Sea
    Martini, Michele
    Guanche, Raul
    Losada, Inigo J.
    Vidal, Cesar
    [J]. WIND ENERGY, 2017, 20 (04) : 637 - 656
  • [44] Risk-based planning of operation and maintenance for offshore wind farms
    Florian, Mihai
    Sorensen, John Dalsgaard
    [J]. 14TH DEEP SEA OFFSHORE WIND R&D CONFERENCE, EERA DEEPWIND'2017, 2017, 137 : 261 - 272
  • [45] Optimal maintenance planning for offshore wind farms under an uncertain environment
    Su, Tai-Sheng
    Weng, Xin-Yu
    Yu, Vincent F.
    Wu, Chin-Chun
    [J]. OCEAN ENGINEERING, 2023, 283
  • [46] A hybrid heuristic optimization of maintenance routing and scheduling for offshore wind farms
    Fan, Dongming
    Ren, Yi
    Feng, Qiang
    Zhu, Bingyu
    Liu, Yiliu
    Wang, Zili
    [J]. JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES, 2019, 62
  • [47] Influence of uncertainty on performance of opportunistic maintenance strategy for offshore wind farms
    Li, Mingxin
    Jiang, Xiaoli
    Carroll, James
    Negenborn, Rudy R.
    [J]. OCEANS 2021: SAN DIEGO - PORTO, 2021,
  • [48] Optimization of routing and scheduling of vessels to perform maintenance at offshore wind farms
    Stalhane, Magnus
    Hvattum, Lars Magnus
    Skaar, Vidar
    [J]. 12TH DEEP SEA OFFSHORE WIND R&D CONFERENCE, (EERA DEEPWIND 2015), 2015, 80 : 92 - 99
  • [49] Risk-based maintenance planning of offshore wind turbine farms
    Yeter, B.
    Garbatov, Y.
    Soares, C. Guedes
    [J]. RELIABILITY ENGINEERING & SYSTEM SAFETY, 2020, 202
  • [50] A decision support system for strategic maintenance planning in offshore wind farms
    Li, Xiaodong
    Ouelhadj, Djamila
    Song, Xiang
    Jones, Dylan
    Wall, Graham
    Howell, Kerry E.
    Igwe, Paul
    Martin, Simon
    Song, Dongping
    Pertin, Emmanuel
    [J]. RENEWABLE ENERGY, 2016, 99 : 784 - 799