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

Authors :
Xingyi Shi
Xiaoyu Huo
Oladapo Christopher Esan
Zhefei Pan
Liu Yun
Liang An
T.S. Zhao
Source :
Energy and AI, Vol 14, Iss , Pp 100275- (2023)
Publication Year :
2023
Publisher :
Elsevier, 2023.

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.

Details

Language :
English
ISSN :
26665468
Volume :
14
Issue :
100275-
Database :
Directory of Open Access Journals
Journal :
Energy and AI
Publication Type :
Academic Journal
Accession number :
edsdoj.f9ec753145024fa0bc801f6b58c34603
Document Type :
article
Full Text :
https://doi.org/10.1016/j.egyai.2023.100275