Decision Support Tool for Offshore Wind Farm Vessel Routing under Uncertainty

被引:12
作者
Dawid, Rafael [1 ]
McMillan, David [1 ]
Revie, Matthew [2 ]
机构
[1] Univ Strathclyde, Dept Elect & Elect Engn, Glasgow G1 1XW, Lanark, Scotland
[2] Univ Strathclyde, Dept Management Sci, Glasgow G1 1XW, Lanark, Scotland
基金
英国工程与自然科学研究理事会;
关键词
vessel routing; O& M planning; offshore wind; VRP; optimisation; SOFT TIME WINDOWS; TRAVEL-TIMES; STOCHASTIC SERVICE; MAINTENANCE; OPTIMIZATION; ALGORITHM; DEMANDS; MODELS;
D O I
10.3390/en11092190
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
This paper for the first time captures the impact of uncertain maintenance action times on vessel routing for realistic offshore wind farm problems. A novel methodology is presented to incorporate uncertainties, e.g., on the expected maintenance duration, into the decision-making process. Users specify the extent to which these unknown elements impact the suggested vessel routing strategy. If uncertainties are present, the tool outputs multiple vessel routing policies with varying likelihoods of success. To demonstrate the tool's capabilities, two case studies were presented. Firstly, simulations based on synthetic data illustrate that in a scenario with uncertainties, the cost-optimal solution is not necessarily the best choice for operators. Including uncertainties when calculating the vessel routing policy led to a 14% increase in the number of wind turbines maintained at the end of the day. Secondly, the tool was applied to a real-life scenario based on an offshore wind farm in collaboration with a United Kingdom (UK) operator. The results showed that the assignment of vessels to turbines generated by the tool matched the policy chosen by wind farm operators. By producing a range of policies for consideration, this tool provided operators with a structured and transparent method to assess trade-offs and justify decisions.
引用
收藏
页数:17
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