An opportunistic joint maintenance strategy for two offshore wind farms

被引:2
|
作者
Tao, Zijian [1 ,2 ,3 ]
Liu, Hanqiu [1 ,3 ]
Si, Yulin [1 ,4 ]
Wang, Chizhong [1 ]
Zhu, Ronghua [1 ,3 ]
机构
[1] Zhejiang Univ, Ocean Coll, Zhoushan 316000, Peoples R China
[2] Zhejiang Univ, Interdisciplinary Student Training Platform Marine, Hangzhou 310027, Peoples R China
[3] Yangjiang Offshore Wind Energy Lab, Yangjiang 529500, Peoples R China
[4] Donghai Lab, Zhoushan 316021, Peoples R China
关键词
Operations and maintenance; Wind energy; Maintenance strategy; Wind farm joint maintenance; Opportunistic maintenance; LIFE-CYCLE COST; OPTIMIZATION; TURBINES; ORGANIZATION; MANAGEMENT; SYSTEMS; MODEL; FLEET; PART;
D O I
10.1016/j.oceaneng.2024.117890
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
The expansion of offshore wind farms into deeper waters presents economic challenges due to the rising costs of operation and maintenance. To address this issue, the development of targeted opportunistic maintenance strategies for offshore wind farms is crucial. Existing strategies often overlook the interconnections between maintenance activities across wind farms, focusing solely on individual wind farms. However, joint maintenance of wind farms has been acknowledged as an effective approach to reducing maintenance costs at the operational level. This paper introduces an opportunistic maintenance strategy that considers the joint maintenance of two wind farms and establishes reliability thresholds to guide maintenance decisions. Furthermore, the developed maintenance model is improved by incorporating more realistic vessel models and considering various types of maintenance costs. Conclusions can be drawn from a comprehensive analysis of optimization results across multiple scenarios involving maintenance costs, wind farm parameters, and uncertainties. The comparative analysis demonstrates that, in the farthest offshore distance case, the proposed strategy exhibits a reduction in maintenance costs of 15.67% and 4.87% when compared to two traditional strategies, respectively. This effect is further amplified in scenarios where offshore wind farms are located in close proximity to each other and encounter substantial uncertainties.
引用
收藏
页数:16
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