Particle swarm optimization for a hybrid freight train powered by hydrogen or ammonia solid oxide fuel cells

Yuqi Zhang, Jiacheng Yu, Ning Zhao, Zhan Xu, Yan Yan, Dawei Wu*, Kevin Blacktop, Athanasios Tsolakis

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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Abstract

All diesel-only trains in the UK will be phased out by 2040. Hydrogen and ammonia emerge as alternative zero-carbon fuel for greener railway. Solid Oxide Fuel Cells (SOFCs) provide an alternative prime mover option, which efficiently convert zero-carbon fuels into electricity without emitting nitrogen oxides (NOx), unlike traditional engines. Superior to Proton Exchange Membrane Fuel Cells (PEMFCs) in efficiency, SOFCs fulfil MW-scale power needs and can use ammonia directly. This study investigates innovative strategies for integrating SOFCs into hybrid rail powertrains using hydrogen or ammonia. Utilizing an optimization framework incorporating Particle Swarm Optimization (PSO), the study aims to minimize operational costs while considering capital and replacement expenditures, powertrain performance, and component sizing. The findings suggest that hybrid powertrains based on ammonia-fueled SOFCs may potentially reduce costs by 30% compared to their hydrogen counterparts, albeit requiring additional space for engine compartments. Ammonia-fueled SOFCs trains also exhibit a 5% higher efficiency at End-of-Life (EoL), showing less performance degradation than those powered by hydrogen. The State of Charge (SoC) of the batteries in range of 30–70% for both cases is identified as most cost-effective.
Original languageEnglish
Pages (from-to)626-641
JournalInternational Journal of Hydrogen Energy
Volume72
Early online date31 May 2024
DOIs
Publication statusPublished - 27 Jun 2024

Keywords

  • Rail freight
  • Particle swarm optimization
  • Solid oxide fuel cell
  • Hydrogen
  • Ammonia

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