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Techno-economic assessment and smart management of an integrated fuel cell-based energy system with absorption chiller for power, hydrogen, heating, and cooling in an electrified railway network

Author

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  • Loy-Benitez, Jorge
  • Safder, Usman
  • Nguyen, Hai-Tra
  • Li, Qian
  • Woo, TaeYong
  • Yoo, ChangKyoo

Abstract

Nowadays, the transportation sector occupies a vital role in current society. However, this sector is the second-highest greenhouse gas emitter worldwide due to fossil fuel combustion. Transitioning from conventional to renewable energy propulsion is a promising alternative to climate change mitigation. This study proposes a smart decision-making approach of an integrated system assisted with renewable energy sources to satisfy the dynamic railway electrification demand. The proposed energy system consists of a proton-exchange membrane electrolyzer, solid-oxide fuel cell, and lithium-bromide absorption chiller assisted with solar radiation and wind turbine to simultaneously generate power, hydrogen, cooling, and heating loads. A novel approach consists of power-pinch analysis and multi-criteria decision-making (MCDM) to determine the optimal sizing of renewable resources considering the system's thermodynamic, economic, and exergy performance. A total of five optimal scenarios with different renewable sources share were obtained. Accordingly, the scenario with a share of 70/30 of solar and wind energy showed the highest competitiveness based on the MCDM. This scenario showed an energetic and exergetic efficiency of 49% and 34%, respectively. Furthermore, it yielded acceptable subproducts generation, including the production of 312.25 kg H2/day, in an economical budget with a levelized cost of energy (LCOE) value of 0.079 $/kWh.

Suggested Citation

  • Loy-Benitez, Jorge & Safder, Usman & Nguyen, Hai-Tra & Li, Qian & Woo, TaeYong & Yoo, ChangKyoo, 2021. "Techno-economic assessment and smart management of an integrated fuel cell-based energy system with absorption chiller for power, hydrogen, heating, and cooling in an electrified railway network," Energy, Elsevier, vol. 233(C).
    • Handle: RePEc:eee:energy:v:233:y:2021:i:c:s0360544221013475
    DOI: 10.1016/j.energy.2021.121099
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    Cited by:

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    3. Wang, Yuwei & Shi, Lin & Song, Minghao & Jia, Mengyao & Li, Bingkang, 2024. "Evaluating the energy-exergy-economy-environment performance of the biomass-photovoltaic-hydrogen integrated energy system based on hybrid multi-criterion decision-making model," Renewable Energy, Elsevier, vol. 224(C).
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    6. Safder, Usman & Hai, Tra Nguyen & Loy-Benitez, Jorge & Yoo, ChangKyoo, 2022. "Nationwide policymaking strategies to prevent future electricity crises in developing countries using data-driven forecasting and fuzzy-SWOT analyses," Energy, Elsevier, vol. 259(C).
    7. Tariq, Shahzeb & Safder, Usman & Yoo, ChangKyoo, 2022. "Exergy-based weighted optimization and smart decision-making for renewable energy systems considering economics, reliability, risk, and environmental assessments," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).

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