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Optimal maintenance planning with special emphasis on deterioration process and vessel routing for offshore wind systems

机译:优化维护计划,特别关注海上风电系统的劣化过程和船舶路线

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Maintenance cost contributes a large portion in total life-cycle cost of offshore wind systems and improves the efficiency of maintenance activities that has emerged as an effective solution in enhancing cost-effectiveness of offshore wind energy. This study proposes a mathematical model to determine the optimal maintenance schedules, by highlighting the deterioration process of offshore wind systems and accounting the optimal vessel routing of maintenance activities, maintenance cost therefore could be shifted to an optimal level. Firstly, reliability of each component is precisely analyzed with respect to the effect of previous maintenance activities. Then, an optimal individual maintenance schedule and a grouping maintenance schedule in daily manner are established based on reliability analysis and opportunity cost consideration. Finally, an optimal maintenance schedule approach accounting vessel routing is apparently presented to optimize the transportation cost of maintenance activities. Numerous influential factors such as system reliability, weather condition, maintenance resource, maintenance duration, production loss cost, and vessel related issues are deliberately examined to enhance the robustness and efficiency of the proposed approach. The experimental results investigating four different scenarios demonstrate that by applying the proposed approach, number of maintenance activity is lowered down, maintenance duration and vessel travelling distance are also significantly reduced in the range of 43.86% - 52.77%, and 52.90% - 58.35%, respectively. Therefore, the economic benefit on maintenance cost could be achieved in an interval of 15.15% - 23.25% by selecting the optimal maintenance schedule.
机译:维护成本在海上风电系统总生命周期成本中占很大比重,提高了维护活动的效率,已成为提高海上风电成本效益的有效解决方案。本研究通过突出海上风电系统的劣化过程,核算维护活动的最优船舶路线,提出确定最优维护计划的数学模型,从而将维护成本转移到最优水平。首先,根据先前维护活动的影响,精确分析每个组件的可靠性。然后,基于可靠性分析和机会成本考虑,建立最优的单项维护计划和日常分组维护计划。最后,提出了一种最优的维护计划方法,以优化维护活动的运输成本。为了提高所提方法的鲁棒性和效率,特意研究了系统可靠性、天气条件、维护资源、维护持续时间、生产损失成本和船舶相关问题等众多影响因素。对4种不同情景的实验结果表明,采用所提方法,维护活动次数减少,维护时间和船舶行驶距离也显著减少,分别为43.86%-52.77%和52.90%-58.35%。因此,通过选择最优的维护计划,可以在15.15%-23.25%的区间内实现维护成本的经济效益。

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