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• W580914609 abstract "Today the offshore wind energy industry needs financial support to be profitable. For offshore wind farms to be more competitive against other energy sources, the costs must be reduced, and this may be achieved by increasing the efficiency of operation and maintenance. In this thesis operations research is used to develop both a deterministic and stochastic strategic model to determine the optimal fleet size and mix for doing maintenance, by taking stepwise development into account. The results show that the deterministic model can solve problems of realistic size for a planning horizon of 25 years in less than 23 minutes. The stochastic model takes uncertainties in number of failures and weather conditions into account. The computational study shows that a stepwise development of wind farms influence the optimal fleet and is therefore important to take into consideration. The value of the stochastic solution is significant and there is a benefit of having a stochastic model compared to a deterministic one. The problem solver uses the Branch & Bound method as solution strategy to solve the mixed integer programming problem, and the Branch & Bound tree grows rapidly in size. An integer solution is found fast, but it takes some time to prove that the optimal solution is found, due to a flat solution landscape." @default.
• W580914609 created "2016-06-24" @default.
• W580914609 creator A5019083384 @default.
• W580914609 date "2013-01-01" @default.
• W580914609 modified "2023-09-24" @default.
• W580914609 title "Determining the Optimal Vessel Fleet for Maintenance of Offshore Wind Farms" @default.
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• W580914609 hasPublicationYear "2013" @default.
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