Synergistic analysis of oxygen transport resistance in polymer electrolyte membrane fuel cells

IF 10.9 1区 工程技术 Q1 ENERGY & FUELS Energy Conversion and Management Pub Date : 2025-02-01 DOI:10.1016/j.enconman.2024.119270
Hyunsoo Chun , Youngseop Lee , Jiwoong Kim , Jung Hyo Chang , Jaebong Sim , Jin Young Kim , Kyoungdoug Min
{"title":"Synergistic analysis of oxygen transport resistance in polymer electrolyte membrane fuel cells","authors":"Hyunsoo Chun ,&nbsp;Youngseop Lee ,&nbsp;Jiwoong Kim ,&nbsp;Jung Hyo Chang ,&nbsp;Jaebong Sim ,&nbsp;Jin Young Kim ,&nbsp;Kyoungdoug Min","doi":"10.1016/j.enconman.2024.119270","DOIUrl":null,"url":null,"abstract":"<div><div>The oxygen transport resistance of polymer electrolyte membrane fuel cells operated under various conditions (e.g., temperature and relative humidity) was separated into molecular diffusion, Knudsen diffusion, and ionomer film (IF) resistances using the catalyst agglomerate model, dissection of oxygen transport resistance, and distribution of relaxation time analysis. Simultaneously, an analysis of resistance, including charge transfer, proton transfer, and high-frequency resistances, was performed. The Knudsen diffusion resistance of the catalyst layer was calculated by assessing the effects of relative humidity on porosity and pore size. Oxygen transport resistance was analyzed to establish a correlation between temperature, relative humidity, and IF resistance. Water negligibly impacted performance at low oxygen levels at all examined current densities. The fractional contributions of molecular diffusion, Knudsen diffusion, and IF resistances obtained using oxygen transport analysis could be effectively applied to mass transport resistance in the distribution of relaxation time analysis. The IF resistance in the catalyst layer was up to eight times higher than the Knudsen diffusion resistance and 150 times higher than the proton transfer resistance across all current densities, thus most strongly contributing to the catalyst layer resistance. In the gas diffusion layer, the molecular diffusion resistance was up to four times higher than the Knudsen diffusion resistance. Thus, we examined the relationship between the mass transport resistances of individual elements and IF behavior under different operating conditions, revealing that the design of the IF in the catalyst should be considered alongside the relationship between the gas diffusion layer and membrane for optimal performance.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"325 ","pages":"Article 119270"},"PeriodicalIF":10.9000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy Conversion and Management","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0196890424012111","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0

Abstract

The oxygen transport resistance of polymer electrolyte membrane fuel cells operated under various conditions (e.g., temperature and relative humidity) was separated into molecular diffusion, Knudsen diffusion, and ionomer film (IF) resistances using the catalyst agglomerate model, dissection of oxygen transport resistance, and distribution of relaxation time analysis. Simultaneously, an analysis of resistance, including charge transfer, proton transfer, and high-frequency resistances, was performed. The Knudsen diffusion resistance of the catalyst layer was calculated by assessing the effects of relative humidity on porosity and pore size. Oxygen transport resistance was analyzed to establish a correlation between temperature, relative humidity, and IF resistance. Water negligibly impacted performance at low oxygen levels at all examined current densities. The fractional contributions of molecular diffusion, Knudsen diffusion, and IF resistances obtained using oxygen transport analysis could be effectively applied to mass transport resistance in the distribution of relaxation time analysis. The IF resistance in the catalyst layer was up to eight times higher than the Knudsen diffusion resistance and 150 times higher than the proton transfer resistance across all current densities, thus most strongly contributing to the catalyst layer resistance. In the gas diffusion layer, the molecular diffusion resistance was up to four times higher than the Knudsen diffusion resistance. Thus, we examined the relationship between the mass transport resistances of individual elements and IF behavior under different operating conditions, revealing that the design of the IF in the catalyst should be considered alongside the relationship between the gas diffusion layer and membrane for optimal performance.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
聚合物电解质膜燃料电池氧传输阻力的协同分析
采用催化剂凝聚模型、氧传递阻力解剖和弛豫时间分布分析,将聚合物电解质膜燃料电池在不同条件(如温度和相对湿度)下的氧传递阻力分为分子扩散、Knudsen扩散和离子膜(IF)阻力。同时,对电阻进行了分析,包括电荷转移、质子转移和高频电阻。通过评估相对湿度对孔隙率和孔径的影响,计算催化剂层的Knudsen扩散阻力。分析了氧传递阻力,建立了温度、相对湿度和中频阻力之间的相关性。在所有测试的电流密度下,水对低氧水平性能的影响可以忽略不计。利用氧输运分析得到的分子扩散、Knudsen扩散和中频电阻的分数贡献可以有效地应用于弛豫时间分布分析中的质量输运电阻。在所有电流密度下,催化剂层中的IF电阻比Knudsen扩散电阻高8倍,比质子转移电阻高150倍,因此对催化剂层电阻的贡献最大。在气体扩散层中,分子扩散阻力比Knudsen扩散阻力高4倍。因此,我们研究了不同操作条件下单个元素的质量传输阻力与中频行为之间的关系,揭示了催化剂中频的设计应该与气体扩散层和膜之间的关系一起考虑,以获得最佳性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Energy Conversion and Management
Energy Conversion and Management 工程技术-力学
CiteScore
19.00
自引率
11.50%
发文量
1304
审稿时长
17 days
期刊介绍: The journal Energy Conversion and Management provides a forum for publishing original contributions and comprehensive technical review articles of interdisciplinary and original research on all important energy topics. The topics considered include energy generation, utilization, conversion, storage, transmission, conservation, management and sustainability. These topics typically involve various types of energy such as mechanical, thermal, nuclear, chemical, electromagnetic, magnetic and electric. These energy types cover all known energy resources, including renewable resources (e.g., solar, bio, hydro, wind, geothermal and ocean energy), fossil fuels and nuclear resources.
期刊最新文献
Decoupling of interphase reactions and gas-gas interactions in co-gasification of sugarcane bagasse and waste plastic Water-electrolysis hydrogen production model incorporating electrode wettability Explainable deep reinforcement learning for resilient and battery-aware microgrid control Precise control of district heating secondary networks: a dynamic simulation approach with room temperature feedback Conventional and PCM-based heat recovery configurations for hybrid electric heavy-duty vehicles fuelled with fossil or alternative fuels
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1