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Bentley watergems pipe library1/16/2024 ![]() The method's application utilized a sample network model assisted by EPANET and Bentley's WaterGEMS software tools. The logic of the objective functions' formulation for both the operating pressure and the water age optimization is recorded and analyzed. The formation of the objective functions is tested through Matlab's optimization toolbox. The solution is obtained using an objective function and setting boundary constraints. Techniques based on GA are a proven way to provide a very good solution to optimization problems. The current study uses genetic algorithm (GA) optimization methods to achieve the desired WDN segmentation conditions in terms of: (a) reducing the operating pressure, thus reducing the system's real losses and (b) reducing the water age, thus improving the feeling of water freshness and preventing growth of disinfection byproducts. However, other factors of water quality such as the water age must be taken into account while forming DMAs. Dividing a water distribution network (WDN) into district metered areas (DMAs) is the first vital step towards pressure management and real losses reduction.
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