Value of information of repair times for offshore wind farm maintenance planning

被引:13
|
作者
Seyr, Helene [1 ]
Muskulus, Michael [1 ]
机构
[1] Norwegian Univ Sci & Technol, Dept Civil & Transport Engn, NO-7491 Trondheim, Norway
来源
SCIENCE OF MAKING TORQUE FROM WIND (TORQUE 2016) | 2016年 / 753卷
关键词
TOOL;
D O I
10.1088/1742-6596/753/9/092009
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
A large contribution to the total cost of energy in off shore wind farms is due to maintenance costs. In recent years research has focused therefore on lowering the maintenance costs using different approaches. Decision support models for scheduling the maintenance exist already, dealing with different factors influencing the scheduling. Our contribution deals with the uncertainty in the repair times. Given the mean repair times for different turbine components we make some assumptions regarding the underlying repair time distribution. We compare the results of a decision support model for the mean times to repair and those repair time distributions. Additionally, distributions with the same mean but different variances are compared under the same conditions. The value of lowering the uncertainty in the repair time is calculated and we find that using distributions significantly decreases the availability, when scheduling maintenance for multiple turbines in a wind park. Having detailed information about the repair time distribution may influence the results of maintenance modeling and might help identify cost factors.
引用
收藏
页数:7
相关论文
共 50 条
  • [41] Shell offshore wind farm
    2001, Institute of Chemical Engineers
  • [42] Nysted Offshore Wind Farm
    Concrete Engineering International, 2003, 7 (04): : 45 - 48
  • [43] Shell offshore wind farm
    不详
    CHEMICAL ENGINEER-LONDON, 2001, (719): : 10 - 10
  • [44] Risk-based planning of operation and maintenance for offshore wind farms
    Florian, Mihai
    Sorensen, John Dalsgaard
    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
    OCEAN ENGINEERING, 2023, 283
  • [46] Planning of Maintenance Resources for the Service of Offshore Wind Turbines by Means of Simulation
    Oelker, Stephan
    Alla, Abderrahim Ait
    Lewandowski, Marco
    Freitag, Michael
    DYNAMICS IN LOGISTICS, LDIC 2016, 2017, : 303 - 312
  • [47] Risk-based maintenance planning of offshore wind turbine farms
    Yeter, B.
    Garbatov, Y.
    Soares, C. Guedes
    RELIABILITY ENGINEERING & SYSTEM SAFETY, 2020, 202
  • [48] 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
    RENEWABLE ENERGY, 2016, 99 : 784 - 799
  • [49] A system dynamics model of offshore wind farm degradation: Enabling operation and maintenance planning under foreseen asset management impacts
    Golestani, Nima
    Arzaghi, Ehsan
    Abbassi, Rouzbeh
    Garaniya, Vikram
    Meng, Huixing
    APPLIED OCEAN RESEARCH, 2023, 138
  • [50] Robust Planning of Offshore Wind Farm Integration System Based on Stackelberg Game
    Fu Y.
    Liu Z.
    Liu L.
    Li C.
    Huang L.
    Geng F.
    Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2023, 47 (16): : 54 - 65