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Minimizing maintenance cost for offshore wind turbines following multi-level opportunistic preventive strategy

机译:遵循多级机会预防策略,将海上风力发电机的维护成本降至最低

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Cost of energy generated from offshore wind is impacted by maintenance cost to a great extent. Cost of maintenance depends primarily on the strategy for performing maintenance. In this paper a maintenance cost model for offshore wind turbine components following multilevel opportunistic preventive maintenance strategy is formulated. In this strategy, opportunity for performing preventive actions on components is taken while a failed component is replaced. Two kinds of preventive actions are considered, preventive replacement and preventive maintenance. In the former, components that undergo that action become as good as new (i.e., the replaced components, are not just as good as new, but are actually new), but in the latter, ages of components are reduced to some degree depending on the level of maintenance action. Total cost associated with maintenance depends on the setting of age groups that determine which component should be preventively maintained and to what degree. Through optimum selection of the number of age groups, cost of maintenance can be minimized. A model is formulated where total maintenance cost is expressed as a function of number of age groups for components. A numerical study is used to illustrate the model. The results show that total cost of maintenance is significantly impacted by number of age groups and age thresholds set for components. (C) 2015 Elsevier Ltd. All rights reserved.
机译:海上风电产生的能源成本在很大程度上受到维护成本的影响。维护成本主要取决于执行维护的策略。本文建立了多级机会预防性维修策略下的海上风机组件维修成本模型。在此策略中,在更换有故障的组件时会抓住机会对组件执行预防措施。考虑了两种预防措施,预防性更换和预防性维护。在前者中,执行该操作的组件会变得与新组件一样好(即,被替换的组件不仅与新组件一样好,而且实际上是新组件),但是在后者中,组件的使用期限会有所降低,具体取决于维护措施的级别。与维护相关的总成本取决于年龄组的设置,该年龄组确定应预防性维护哪个组件以及在多大程度上进行维护。通过最佳选择年龄组,可以将维护成本降至最低。制定了一个模型,其中总维护成本表示为组件年龄组数量的函数。数值研究用于说明该模型。结果表明,维护的总成本受年龄组数量和为组件设置的年龄阈值的显着影响。 (C)2015 Elsevier Ltd.保留所有权利。

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