Dimensioning of a water pumping system by the genetic algorithmic method

This paper presents the design of a wind pumping system coupled to a reservoir of water storage. This work has been done with the HOGA program (Hybrid Optimization by Genetic Algorithms). Different objective functions used in the design process are the Loss of Power Probability (LPSP) concept for the reliability, the Life Cycle Cost (LCC) for the economic evaluation and CO2 emissions of life cycle on the production of the various system components. With the presented model, the optimization of the design of wind pumping system can be realized technically, economically and environmentally, while ensuring the needs of the consumer without interruption. Design variables used are the wind turbines number (NW), the type of wind (TW), the tank number (Ntank), the type of tank (Ttank), type mast (Ttower) and total head (Thead), that is to say the type of well. A case study is conducted to analyse one wind turbine pumping projet, which is designed to supply drinking water in a rural community located at Sèmè-Kpodji, Benin (6°22’N, 2°37’E, 7m).