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Optimal Design of a Booster Chlorination System for a Drinking Water Distribution Network Using EPANET and PSO

机译:使用EPANET和PSO饮用水分配网络增压氯化系统的最佳设计

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In booster chlorination, the chlorine is reapplied at strategic locations to achieve the uniform chlorine concentration within the water distribution network. The only source chlorination provides uneven residual chlorine at various locations in the network covering large area. The critical nodes are identified by developing response coefficient matrix using EPANET. EPANET is used to simulate the flow hydraulics and residual chlorine in the network. It uses first order reaction kinetics to simulate the chlorine decay. At selected locations chlorine mass rate range provides solution space for particles in PSO. The objective is to minimize the total mass rate of chlorine application in the network. The minimum residual chlorine and its maximum values are maintained by introducing penalty terms. Distribution network of Vadodara City area of India is selected for the application of model. The junction nodes of network feeding micro network to consumer end are monitored for residual chlorine. Maximum two booster stations are proposed to be selected and the coupled model is used to find their locations and mass rate of chlorine injection in conjunction with the source chlorination mass rate. The residual chlorine concentrations are obtained for optimum solution and results are compared with that obtained for conventional source chlorination. It is observed that reduction of more than 30% is achieved in booster chlorination strategy as obtained by optimization model. The suggested strategy also results in uniform distribution over conventional approach. The reduction in chlorine in the network also helps reducing disinfection by products.
机译:在增强氯化中,在战略位置重新筛选氯,从而在水分配网络中达到均匀的氯浓度。唯一的源氯化在覆盖大面积的网络中的各个位置提供了不均匀的残余氯。通过使用EPANET开发响应系数矩阵来识别临界节点。 EPANET用于模拟网络中的流动液压和残留氯。它采用一阶反应动力学来模拟氯腐烂。在所选位置,氯质量范围为PSO中的颗粒提供溶液空间。目的是最大限度地减少网络中氯应用的总质量率。通过引入惩罚术语来维持最小剩余氯及其最大值。选择了印度Vadodara城区的分销网络,适用于模型的应用。监测对消费者的网络喂养微网络的结节点用于残留氯。提出了最多两个增压站,并且耦合模型用于与源氯化质量率结合源氯化质量率的氯注射的位置和质量率。获得残留的氯浓度以获得最佳溶液,并将结果与​​用于常规源氯化的结果进行比较。观察到,通过优化模型获得的增强氯化策略,实现了超过30%的减少。建议的策略还导致常规方法均匀分布。网络中氯的还原还有助于减少产品消毒。

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