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Résumé

Energy use in drinking Water Supply System represents an important part of the global energy consumption across all sectors. This portion is expected to raise, due to the raising demand and the recourse to unconventional water resources. For the water utilities, most of their operating costs are related to energy consumptions, especially the consumption of pumping systems. The main objective of this study is to produce a model which reflects the real behaviour of a pumping system to help in taking decisions on which pump to use First and which one to replace in case of a limited renovation. In order to do so, Multiple Linear regression was adopted to model the ratio kWh/m3 produced depending on the input parameters. The final model describes in a good manner the phenomenon (R2 = 0.91), so it can be a good estimator as the calculated ratio is close to the experimental one. The Novelty of this approach is to have a model which takes into account the real behaviour of the system whereas most of the studies focus on the pump scheduling problem.

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