Decarbonizing transport: Energy, economic and environmental insights from EV charging stations

Expanding electric vehicle (EV) charging stations (CSs) is a key strategy to promote EV adoption over gasoline vehicles. Due to the lack of local feasibility studies in Iran, this work presents a sensitivity analysis and a techno-economic-environmental (۳E) assessment of a wind-solar-powered charging station in Shahrekord, Iran. Simulations were conducted in HOMER, with the system connected to the national power grid. The optimal configuration includes a ۵۰ kW solar system, a ۲۵ kW wind turbine, and a ۴۰ kW converter, achieving a levelized cost of electricity (LCOE) of ۰.۰۵۸ /kWh. Solar panels and wind turbines annually generate ۸۰,۰۹۴ kWh (۴۱%) and ۵۱,۴۲۰ kWh (۲۶%) respectively, with ۴۲,۸۹۶ kWh sold to the grid. CO₂ emissions amount to ۱۳,۳۶۹ kg/year in the optimal scenario. Sensitivity analysis shows that higher wind speeds and solar irradiance lead to negative LCOE and pollutant generation rates. This study offers essential insights for optimizing renewable energy-based EV charging stations in Iran and contributes to global efforts to reduce CO₂ emissions and improve energy efficiency in transportation.

کلیدواژه ها:

EV ، Charging Station ، ۳E Analysis ، Homer ، Cost of Electricity