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Optimizing Pump Operations in Water Supply Networks Through Genetic Algorithms
Proper scheduling of pump operations (i.e., the specific combinations of pumps and operating parameters to meet system requirements) can yield substantial savings in energy costs for water supply systems. In recent decades, optimization procedures have been developed to solve this complex and multiobjective problem. In the current research, a genetic algorithm method was selected to optimize pump operations to reduce energy consumption while maintaining good service. The method was then applied to the water supply network of Milan, Italy, a large, complex system in which hydraulic head is maintained by the action of pumping stations. On the basis of real data and following field testing, the operations of the network and its pumping stations were first simulated with specially developed software that uses the EPANET Toolkit and then optimized with the proposed method. When checked against real data, simulation results indicated that application of the optimization procedures could produce significant improvement and cost savings.
Optimizing Pump Operations in Water Supply Networks Through Genetic Algorithms
Proper scheduling of pump operations (i.e., the specific combinations of pumps and operating parameters to meet system requirements) can yield substantial savings in energy costs for water supply systems. In recent decades, optimization procedures have been developed to solve this complex and multiobjective problem. In the current research, a genetic algorithm method was selected to optimize pump operations to reduce energy consumption while maintaining good service. The method was then applied to the water supply network of Milan, Italy, a large, complex system in which hydraulic head is maintained by the action of pumping stations. On the basis of real data and following field testing, the operations of the network and its pumping stations were first simulated with specially developed software that uses the EPANET Toolkit and then optimized with the proposed method. When checked against real data, simulation results indicated that application of the optimization procedures could produce significant improvement and cost savings.
Optimizing Pump Operations in Water Supply Networks Through Genetic Algorithms
Mambretti, Stefano (Autor:in) / Orsi, Enrico (Autor:in)
Journal ‐ American Water Works Association ; 108 ; E119-E125
01.02.2016
7 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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