Design and assessment of energy management strategy on rail coaches using solar PV and battery storage to reduce diesel fuel consumption

Abdullah Tariq Sipra, Fawad Azeem, Zulfiqar Ali Memon, Sobia Baig and Mujtaba Hussain Jaffery

Energy, 2024, vol. 288, issue C

Abstract: This study is focused to develop energy management strategy using battery backup source for electrical load of the rail coaches. To assess the effectiveness of battery storage inclusion, the higher and lower battery state of charge cases were simulated using parametric approach where solar Photovoltaic (PV) power, battery state of charge (SoC) and load consumption parameters were used develop the controller. Fuzzy logic and Adaptive neuro-fuzzy interference system (ANFIS) approaches were used for the controller design. It was found that the Solar PV-battery hybrid system helps in a significant reduction in diesel consumption i.e., about 10 % in diesel savings with higher SoC values and 7 % of diesel savings during worst cases. Annually, while comparing two controllers, it was found that the annual diesel savings increase from PKR 604.17 million to PKR 684.00 million, while the amount of CO2 emissions reduction increase from 6932.70 to 7848.75 tons, while using ANFIS control.

Keywords: Hybrid power generation system; Solar photovoltaic panels; Train coach; Diesel gen-set; Optimal power management; Fuzzy logic (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:288:y:2024:i:c:s0360544223031122

DOI: 10.1016/j.energy.2023.129718

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