Mathematical modeling of fuel cells fed with an electrically rechargeable liquid fuel

Xingyi Shi, Xiaoyu Huo, Oladapo Christopher Esan, Zhefei Pan, Liu Yun, Liang An, T. S. Zhao

Research output: Journal article publicationJournal articleAcademic researchpeer-review

2 Citations (Scopus)

Abstract

Lately, utilizing a novel electrically rechargeable liquid fuel (e-fuel), a fuel cell has been designed and fabricated, which is demonstrated to achieve a much better performance than alcoholic liquid fuel cells do. However, its current performance, which thus hampers its wide application, demands further improvement to meet up with industrial requirement. Therefore, to attain a better performance for this system, an in-depth understanding of the complex physical and chemical processes within this fuel cell is essential. To this end, in this work, a two-dimensional transient model has been developed to gain an extensive knowledge of a passive e-fuel cell and analyze the major factors limiting its performance. The effects of various structural parameters and operating conditions are studied to identify the underlying performance-limiting factors, where deficient mass transport is found to be one of the major causes. The increment of anode porosity and thickness are found to be effective methods of improving the cell performance. This study therefore provides insights on achieving further performance advancement of the fuel cell in the future.

Original languageEnglish
Article number100275
JournalEnergy and AI
Volume14
DOIs
Publication statusPublished - Oct 2023

Keywords

  • E-fuel
  • Liquid fuel cells
  • Mathematical modeling
  • Operation conditions
  • Structural parameters

ASJC Scopus subject areas

  • Engineering (miscellaneous)
  • General Energy
  • Artificial Intelligence

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