Open AccessEnergetic optimization and evaluation of a drinking water pumping system: application at the Rassauta station
Author(s) -
Ahcene Bouach,
Saâdia Benmamar
Publication year - 2018
Publication title -
water science and technology water supply
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.318
H-Index - 39
eISSN - 1607-0798
pISSN - 1606-9749
DOI - 10.2166/ws.2018.092
Subject(s) - plan (archaeology) , genetic algorithm , water pumping , sewage , overconsumption , energy (signal processing) , artificial neural network , environmental science , energy demand , system optimization , engineering , environmental engineering , civil engineering , computer science , mathematical optimization , environmental economics , mechanical engineering , artificial intelligence , geography , statistics , mathematics , machine learning , production (economics) , economics , inlet , macroeconomics , archaeology
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 function9s system.
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