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Intermittent Urban Water Supply with Protection of Consumers' Welfare

机译:保护消费者权益的间歇性城市供水

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Intermittent operation of water networks is prevalent in many developing countries. It is a practical method to continue operation of water distribution networks (WDNs) during unexpected water shortages. Implementation of intermittent water supply compels consumers to withstand periods of interrupted water supply. Intermittent operation increases operating and maintenance costs attributable to the damage of pipes and valves caused by water pressure fluctuations. This paper considers consumers' welfare and system depreciation simultaneously in a multiobjective optimization model for intermittent water supply in WDNs. The objectives of the optimization model are the improvement of water supply resiliency and the maximization of the mechanical reliability of WDNs. The optimization model is solved by means of the honey-bee mating optimization (HBMO) algorithm linked to WDN hydraulic simulator software. The model's performance is tested with several shortage scenarios in two different WDNs. The calculated results show the optimization model's capacity to determine optimal values of water supply resiliency, and demonstrate that consumers' welfare may conflict with the objective of mechanical reliability, giving rise to an optimization possibility tradeoff frontier.
机译:在许多发展中国家,水网的间歇运行十分普遍。这是一种在突发性缺水情况下继续运行配水管网(WDN)的实用方法。间歇供水的实施迫使消费者承受供水中断的时间。间歇运行会增加运行和维护成本,这归因于水压波动引起的管道和阀门损坏。本文在WDN间歇供水的多目标优化模型中同时考虑了消费者的福利和系统折旧。优化模型的目标是提高供水弹性,最大程度提高WDN的机械可靠性。通过链接到WDN液压模拟器软件的蜜蜂交配优化(HBMO)算法来求解优化模型。在两个不同的WDN中使用几种短缺情况测试了模型的性能。计算结果表明,该优化模型具有确定最佳供水弹性值的能力,并表明消费者的福利可能与机械可靠性目标相抵触,从而产生了优化可能性权衡边界。

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