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Integrated Model for Optimizing Strategic Overhaul Planning of Distributed Pump Stations

机译:优化分布式泵站战略检修计划的集成模型

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An important part of the lifecycle costs for pump stations are the support costs associated with energy and preventive maintenance of the pumps. Both cost terms are interrelated because a trade-off exists between maintaining pumps frequently (with increased pump efficiency, reduced energy costs and increasing maintenance costs, and pump unavailability) and extending the intervals between the overhauls (increased loss of efficiency, increased energy costs, and decreased maintenance costs). The planner needs to forecast pump overhaul demands to determine budget levels because economic resources are limited. This process is assisted by using mathematical programming methods to prioritize funding for equipment requiring renewal in consideration of limited resources in a strategic time horizon (several years). This work proposes an efficient model to define an overhaul maintenance program for a pump network with a large number of pumps (a few hundred in the case study). The model minimizes the discounted total (energy + overhaul) cost by selecting and scheduling pumps for overhaul subject to budget constraints. The formulation uses 0-1 integer programming.
机译:泵站生命周期成本的重要组成部分是与能源和泵的预防性维护相关的支持成本。这两个成本是相互关联的,因为要在频繁维护泵(提高泵效率,降低能源成本和增加维护成本以及泵不可用)与延长检修间隔(提高效率损失,增加能源成本,并降低了维护成本)。由于经济资源有限,规划人员需要预测泵的大修需求,以确定预算水平。考虑到战略时间段(数年)内有限的资源,使用数学编程方法可以优先考虑需要更新的设备的资金,从而协助此过程。这项工作提出了一个有效的模型,用于为具有大量泵的泵网络(案例研究中为几百个)定义大修维护程序。该模型通过在预算限制下选择和安排大修泵来最大程度地减少贴现的总成本(能源+大修)。该公式使用0-1整数编程。

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