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Energetic optimization and evaluation of a drinking water pumping system: application at the Rassauta station

机译：饮用水抽水系统的能量优化和评估：在Rassauta站的应用

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The energy overconsumption at drinking-water pumping stations creates considerable energy losses. For this reason we have developed an NNGA tool of pumping management which optimizes the consumed energy by the pumping system with respect to the hydraulic functioning conditions in the distribution tank. This tool includes two models: a forecasting model for drinking water demand based on artificial neural networks and an optimization model using genetic algorithms. The results of the NNGA tool were compared with two pumping plans: the plan based on the pumping regulation model, and the plan used by the company of water and sewage of the city of Algiers. The analysis result was done with the help of performed indicators that we have developed and which enable the evaluation and diagnosis of the energetic function's system.
机译：饮用水泵站的能量过度消耗会造成相当大的能量损失。因此，我们开发了一种NNGA抽水管理工具，该工具可以根据分配罐中的液压功能状况优化抽水系统消耗的能量。该工具包括两个模型：基于人工神经网络的饮用水需求预测模型和使用遗传算法的优化模型。将NNGA工具的结果与两个抽水计划进行了比较：基于抽水调节模型的抽水计划，以及阿尔及尔市自来水和污水处理公司使用的抽水计划。分析结果是借助我们开发的已执行指标进行的，这些指标能够对能量功能系统进行评估和诊断。

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