Street Lighting and Charging Stations with PATs Location Applying Artificial Intelligence

This research proposes a methodology with multi-objective optimization for the placement of Pumps operating As Turbines (PATs), energizing street lighting, devices monitoring water network, and charging stations small electric vehicles such as bikes scooters. helps to find most profitable project benefiting life quality energy recovery through pumps turbines, replacing virtual pressure reduction valves locate best point decreasing pressure. PATs are selected by maximizing power minimizing in system well recoverable energy. Benefits analyzed include carbon dioxide emissions fuel use, saving electricity consumption socio-economic impact monitoring, station. It was considered that each PAT proposed will supply light pole, station station; under these established conditions, return on investment is up 1.07 at 12 years, generation 60 kWh per day.