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- W4328007713 abstract "This paper introduces an energy management algorithm for a hybrid solar and biogas-based electric vehicle charging station (EVCS) that considers techno-economic and environmental factors. The proposed algorithm is designed for a 20-kW EVCS and uses a fuzzy inference system in MATLAB SIMULINK to manage power generation, EV power demand, charging periods, and existing charging rates to optimize real-time charging costs and renewable energy utilization. The results show that the proposed algorithm reduces energy costs by 74.67% compared to existing flat rate tariffs and offers lower charging costs for weekdays and weekends. The integration of hybrid renewables also results in a significant reduction in greenhouse gas emissions, with payback periods for charging station owners being relatively short, making the project profitable." @default.
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- W4328007713 date "2023-01-01" @default.
- W4328007713 modified "2023-10-06" @default.
- W4328007713 title "Energy Management System for Hybrid Renewable Energy-Based Electric Vehicle Charging Station" @default.
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- W4328007713 doi "https://doi.org/10.1109/access.2023.3259232" @default.
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