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Optimum Reliable Design of Water Distribution Systems Using Particle Swarm Optimization Considering Pumping Power and Tank Siting
Design of water distribution systems is commonly performed using design guidelines which often rely on designers' expertise. Determination of the required pumping power and the size and location of storage tanks, according to the network layout and the available diameters, is not a trivial task. The difficulty of optimizing such systems arises from applying non-uniform demand patterns along the one-day operation accompanied by the different constraints to satisfy the large fluctuations in pressure heads and flow velocities, the dilemma between choosing to reduce the cost of constructing and operating the network or to increase its resilience and the complex relationship between the pumping power and the size, bottom elevation and location of storage tanks. In this study, a general multi-objective optimization framework is developed to get the optimum diameters, pumping power and storage tank locations and bottom elevations to minimize the cost while maximizing the resilience using a combination of the Particle Swarm Optimization technique and EPANET software. The objective function of the optimization is obtained from combining the cost and resilience using a transformation function. The proposed framework is applied to Safi town network in Yemen and the results prove the success of performing the developed framework.
Optimum Reliable Design of Water Distribution Systems Using Particle Swarm Optimization Considering Pumping Power and Tank Siting
Design of water distribution systems is commonly performed using design guidelines which often rely on designers' expertise. Determination of the required pumping power and the size and location of storage tanks, according to the network layout and the available diameters, is not a trivial task. The difficulty of optimizing such systems arises from applying non-uniform demand patterns along the one-day operation accompanied by the different constraints to satisfy the large fluctuations in pressure heads and flow velocities, the dilemma between choosing to reduce the cost of constructing and operating the network or to increase its resilience and the complex relationship between the pumping power and the size, bottom elevation and location of storage tanks. In this study, a general multi-objective optimization framework is developed to get the optimum diameters, pumping power and storage tank locations and bottom elevations to minimize the cost while maximizing the resilience using a combination of the Particle Swarm Optimization technique and EPANET software. The objective function of the optimization is obtained from combining the cost and resilience using a transformation function. The proposed framework is applied to Safi town network in Yemen and the results prove the success of performing the developed framework.
Optimum Reliable Design of Water Distribution Systems Using Particle Swarm Optimization Considering Pumping Power and Tank Siting
Torkomany, Mohamed R. (author) / Yusuf, Mohamed M. (author) / Elkholy, Mohamed (author) / Abdelrazek, Ahmed M. (author) / Fath, Hassan E. S. (author)
2020-02-01
484220 byte
Conference paper
Electronic Resource
English
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