Optimization of Water Distribution System Using WaterGEMS: The Case of Wukro Town, Ethiopia

T. Berhane
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引用次数: 2

Abstract

This study was aimed to optimize the designed water distribution system in the Wukro town using WaterGEMS model. The Darwin Designer in WaterGEMS was applied for finding optimal pipe diameter to supply adequate quantity of water at satisfactory pressures to the end users. In the WaterGEMS model, the Darwin Scheduler of daily pumping operations tools also used for optimal control and operation of pump systems. The WaterGEMS model was implemented in water distribution networks which include 117 pipes (40.67km), 99 demand nodes (equivalent to 50480 end users) that are spread across a hilly area over a 1989m to 2046m elevation gradient. The model was calibrated at the selected nodes within very good performance. The results have shown that the maximum pressure before optimization is 31.1m and after optimization increased to 38.1m, the minimum pressure on the former is 7.9m and 16m later during peak hour demand. Comparison of results showed that the optimized networks reduce the cost by 9.6% than those of before optimization networks by traditional hydraulic. In addition to this, the optimal tanks filling/emptying arrangement decreased the daily cost of energy consumptions by 12.5% compare as a currently scheduled pump. The finding of this study indicated that the WaterGEMS model is a promising approach for optimal sizing of pipes in design water distribution networks and pumping operational schedules. Keywords : Water Distribution Network, Genetic Algorithm, Pipe Diameter, Energy consumption, Darwin Designer, Darwin scheduler DOI: 10.7176/CER/12-6-01 Publication date: June 30 th 2020
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用水系统优化配水系统——以埃塞俄比亚乌克罗镇为例
本研究旨在利用waterergems模型对乌克罗镇设计的配水系统进行优化。使用WaterGEMS中的达尔文设计器来寻找最佳管径,以便在满意的压力下为最终用户提供足够数量的水。在WaterGEMS模型中,日常泵送作业工具的Darwin Scheduler也用于泵系统的优化控制和操作。waterergems模型在配水网络中实施,该配水网络包括117条管道(40.67公里),99个需求节点(相当于50480个最终用户),分布在海拔1989米至2046米的丘陵地区。该模型在选择的节点上进行了校准,具有很好的性能。结果表明:优化前的最大压力为31.1m,优化后的最大压力为38.1m,优化后的最大压力在高峰时段分别为7.9m和16m。结果表明,优化后的网络比传统水力优化前的网络成本降低了9.6%。除此之外,与目前计划的泵相比,最佳的储罐填充/排空安排将每日能源消耗成本降低了12.5%。本研究的发现表明,在设计配水网络和抽水操作计划时,WaterGEMS模型是一种很有前途的管道尺寸优化方法。关键词:配水网络,遗传算法,管径,能耗,达尔文设计器,达尔文调度DOI: 10.7176/CER/12-6-01出版日期:2020年6月30日
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