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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
  • , Mujtaba Hussain Jaffery
  • COMSATS University Islamabad

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

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.

Original languageEnglish
Article number129718
JournalEnergy
Volume288
DOIs
StatePublished - 1 Feb 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  2. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • Diesel gen-set
  • Fuzzy logic
  • Hybrid power generation system
  • Optimal power management
  • Solar photovoltaic panels
  • Train coach

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