Optimization of catalyst layer thickness for achieving high performance and low cost of high temperature proton exchange membrane fuel cell-Reference-Cited by-同舟云学术

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Optimization of catalyst layer thickness for achieving high performance and low cost of high temperature proton exchange membrane fuel cell

Published:2021-07 Issue: Volume:294 Page:117012
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Xia Lingchao,Ni Meng,Xu Qidong,Xu Haoran,Zheng Keqing

Funder

National Natural Science Foundation of China

University Grants Committee Research Grants Council

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference49 articles.

1. A review of water flooding issues in the proton exchange membrane fuel cell;Li;J Power Sources,2008

2. Analyzing microcogeneration systems based on LT-PEMFC and HT-PEMFC by energy balances;Jannelli;Appl Energy,2013

3. A review of high-temperature proton exchange membrane fuel cell (HT-PEMFC) system;Rosli;Int J Hydrogen Energy,2017

4. The CO poisoning effect in PEMFCs operational at temperatures up to 200 C;Li;J Electrochem Soc,2003

5. A comprehensive review of PBI-based high temperature PEM fuel cells;Araya;Int J Hydrogen Energy,2016

Cited by 37 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Modelling and operation characteristics of air-cooled PEMFC with metallic bipolar plate used in unmanned aerial vehicle;Energy;2024-08

2. Nuclear hydrogen production using PEM electrolysis integrated with APR1400 power plant;International Journal of Hydrogen Energy;2024-03

3. Impact of Nonuniform Platinum Loading Distribution Design in the Catalyst Layer on the High-Temperature Proton Exchange Membrane Fuel Cell Performance;ACS Applied Energy Materials;2024-01-02

4. Lattice Boltzmann study of the effect of catalyst layer structure on oxygen reduction reaction within a PEMFC;International Journal of Hydrogen Energy;2024-01

5. Optimization of porous layer structure of high-temperature proton exchange membrane fuel cell based on deep learning and Monte Carlo method;International Journal of Hydrogen Energy;2024-01

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