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OPTIMAL REHABILITATION STRATEGY IN WATER DISTRIBUTION SYSTEMS CONSIDERING REDUCTION IN GREENHOUSE GAS EMISSIONS

机译:考虑减少温室气体排放的配水系统的最佳修复策略

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Water distribution systems (WDS) need a rehabilitation strategy due to infrastructure aging which leads to decreasing capacity, increasing leakage and consequently low performance of the WDS. Identifying an appropriate strategy including location, time of pipeline rehabilitation, rehabilitation technique and material types are the main challenge especially when the rehabilitation budget is limited. Furthermore, the environmental impacts of a rehabilitation strategy on global warming have yet to be addressed. This paper presents a multi-objective optimization model for a long-term rehabilitation strategy in WDS which minimize the two main criteria: (1) greenhouse gas (GHG) emissions from either fossil fuel & electricity or embodied energy of materials; (2) the leakage amount. The Pareto optimal front containing optimal solutions is determined using Non-dominated Sorting Genetic Algorithm NSGA-II. Decision variables are classified into a number of groups as: (1) pipeline rehabilitation including different rehabilitation techniques and material types; (2) addition of pumps; (3) addition of tanks. Rehabilitation techniques used here includes replacement, rehabilitation and lining, cleaning, pipe duplication. The long time planning horizon of the rehabilitation strategy is divided into a number of specific times for which the simulation model is applied separately. The effects of population growth, aging, hydraulic constraints and budget limitations on the WDS are considered. The developed model is demonstrated through its application to C-Town WDS. The rehabilitation strategy is analyzed for a 10 year planning horizon with 2 five-year time periods. The results show that the optimal rehabilitation strategy is able to efficiently control the total leakage amount in the WDS whilst considering environmental criteria by lowering GHG emissions.
机译:由于基础设施老化,导致配水系统(WDS)需要恢复策略,这会导致容量降低,泄漏增加以及WDS性能下降。确定适当的策略,包括位置,管道修复时间,修复技术和材料类型是主要挑战,尤其是在修复预算有限的情况下。此外,恢复战略对全球变暖的环境影响尚待解决。本文为WDS中的长期修复策略提出了一个多目标优化模型,该模型将两个主要标准最小化:(1)化石燃料和电力或材料的内含能量产生的温室气体(GHG)排放; (2)泄漏量。使用非支配排序遗传算法NSGA-II确定包含最优解的Pareto最优前沿。决策变量分为以下几类:(1)管道修复,包括不同的修复技术和材料类型; (2)增加水泵; (3)增加水箱。这里使用的修复技术包括更换,修复和衬里,清洁,管道重复。康复策略的长期计划范围分为多个特定时间,分别将模拟模型应用于该特定时间。考虑了人口增长,老龄化,水力限制和预算限制对WDS的影响。通过将其应用于C-Wown WDS演示了开发的模型。针对10年规划期和2个5年期的恢复策略进行了分析。结果表明,最佳的修复策略能够有效地控制WDS中的总泄漏量,同时通过降低温室气体排放量来考虑环境标准。

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