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 for monitoring the water network, and charging stations for small electric vehicles such as bikes and scooters. This methodology helps t...

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Bibliographic Details
Published in:Water (Basel) 2023-02, Vol.15 (4), p.616
Main Authors: Pineda Sandoval, Joseph Daniel, Arciniega-Nevárez, José Antonio, Delgado-Galván, Xitlali, Ramos, Helena M., Pérez-Sánchez, Modesto, López-Jiménez, P. Amparo, Mora Rodríguez, Jesús
Format: Article
Language:English
Subjects:
Air quality management
Artificial intelligence
Battery chargers
Bicycles
Carbon dioxide
Clean technology
Climate change
Drinking water
Economic impact
Electric power production
Electric rates
Electric vehicles
Electricity
Electricity consumption
Emissions
Energy consumption
Energy industry
Energy recovery
Impact analysis
Lighting
Maximization
Methodology
Monitoring
Multiple objective analysis
Optimization
Optimization techniques
Pressure
Pressure reduction
Pumps
Quality of life
Return on investment
Smart cities
Society
Sustainable development
Turbines
Utility poles
Utility rates
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Summary:This research proposes a methodology with multi-objective optimization for the placement of Pumps operating As Turbines (PATs), energizing street lighting, devices for monitoring the water network, and charging stations for small electric vehicles such as bikes and scooters. This methodology helps to find the most profitable project for benefiting life quality and energy recovery through pumps operating as turbines, replacing virtual pressure reduction valves to locate the best point for decreasing pressure. PATs are selected by maximizing power recovery and minimizing pressure in the system as well as maximizing recoverable energy. Benefits analyzed include the reduction of carbon dioxide emissions and fuel use, as well as the saving of electricity consumption and benefiting socio-economic impact with street lighting, monitoring, and charging station. It was considered that each PAT proposed by the methodology will supply a street light pole, a station for monitoring the water network, and a charging station; under these established conditions, the return on investment is up to 1.07 at 12 years, with a power generation of 60 kWh per day.
ISSN:2073-4441
2073-4441
DOI:10.3390/w15040616