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The main objective of this study is to present a simulation-optimization model to determine the locations and disinfectant injection dosages of the booster stations for maintaining the disinfectant residual limits in drinking water distribution networks. The proposed model accomplishes this task by utilizing the global exploration feature of the Differential Evolution (DE) optimization algorithm. The objective of the DE based optimization model is to maximize an aggregated objective function value which includes two conflicting objectives. While the first objective aims to maximize the percentage of water within the specified residual limits, the second one deals with the minimization of the chlorine injection rates from the identified booster stations. The applicability of the proposed model is evaluated on an existing water distribution network by comparing the trade-off between booster station numbers and their corresponding water quality improvements. Identified results indicate that the proposed model is an effective way for determining the locations and chlorine injection rates of the booster stations.


Session R63, Parameter Estimation: Simulation Optimization



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