Performance improvement ofproton‐exchangemembrane fuel cells through different gas injection channel geometries

质子交换膜燃料电池 功率密度 离散化 燃料电池 材料科学 工作(物理) 电流密度 功率(物理) 化学 核工程 化学工程 机械 工程类 热力学 机械工程 物理 数学 量子力学 数学分析
作者
Hojjat Ashrafi,Nader Pourmahmoud,Iraj Mirzaee,Nima Ahmadi
出处
期刊:International Journal of Energy Research [Wiley]
卷期号:46 (7): 8781-8792 被引量:18
标识
DOI:10.1002/er.7755
摘要

The performance of proton-exchange membrane (PEM) fuel cells is strongly dependent on the geometry, flow channel configuration, and size. The present work numerically studies the performance of PEM fuel cells through the design of gas injection channels of different geometries. Computational fluid dynamics was adopted to solve the governing equations. The finite volume method was used to discretize and solve the equations. The channel geometries included spiral quasi (Model A), parallel (Model B), and pin (Model C), which have the same dimensions as the base serpentine model. The performance of the system was validated using the base model, and the simulation was carried out at a voltage of 0.6 V. The present study primarily aimed to utilize novel PEM fuel cell designs and improve their performance. The highest current density and output power were found to occur in Model C, whereas Model B had the lowest current density and output power. The temperature distribution was uniform in Model C and the base model. Moreover, Model C had the lowest water production; therefore, water immersion would not interrupt the fuel cell. On the other hand, Model B was observed to experience the largest liquid water generation, leading to an interrupted fuel cell. Model C had the lowest pressure loss and, therefore, lower power was required to pump gasses through the channel. It was found that Models C and B had the highest and lowest performances, respectively.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
研友_LMg3PZ完成签到,获得积分10
刚刚
1秒前
董博宇完成签到,获得积分10
2秒前
2秒前
虾仁发布了新的文献求助10
2秒前
王致远发布了新的文献求助10
3秒前
3秒前
3秒前
黄饱饱完成签到,获得积分10
3秒前
Wang完成签到,获得积分10
4秒前
am发布了新的文献求助10
5秒前
涵山发布了新的文献求助10
5秒前
CAOHOU举报你猜求助涉嫌违规
5秒前
6秒前
6秒前
TaoJ发布了新的文献求助10
6秒前
fang发布了新的文献求助10
7秒前
大模型应助樱悼柳雪采纳,获得10
8秒前
8秒前
9秒前
乐乐应助傲娇的曼香采纳,获得10
10秒前
量子星尘发布了新的文献求助10
10秒前
活力惜寒完成签到,获得积分10
11秒前
qq完成签到,获得积分10
11秒前
小二郎应助gyr采纳,获得20
12秒前
搞怪莫茗发布了新的文献求助10
12秒前
复杂沧海发布了新的文献求助10
12秒前
13秒前
Nancy发布了新的文献求助30
13秒前
14秒前
Gaoge完成签到,获得积分10
14秒前
14秒前
lmd完成签到,获得积分10
15秒前
15秒前
XY完成签到,获得积分10
16秒前
李健春发布了新的文献求助10
16秒前
只然完成签到,获得积分10
17秒前
高晨旭完成签到 ,获得积分10
18秒前
FashionBoy应助暴躁的阁采纳,获得10
18秒前
小汉子完成签到,获得积分10
18秒前
高分求助中
The Mother of All Tableaux Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 2400
Ophthalmic Equipment Market by Devices(surgical: vitreorentinal,IOLs,OVDs,contact lens,RGP lens,backflush,diagnostic&monitoring:OCT,actorefractor,keratometer,tonometer,ophthalmoscpe,OVD), End User,Buying Criteria-Global Forecast to2029 2000
Cognitive Neuroscience: The Biology of the Mind 1000
Cognitive Neuroscience: The Biology of the Mind (Sixth Edition) 1000
Optimal Transport: A Comprehensive Introduction to Modeling, Analysis, Simulation, Applications 800
Official Methods of Analysis of AOAC INTERNATIONAL 600
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 588
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3958345
求助须知:如何正确求助?哪些是违规求助? 3504604
关于积分的说明 11118997
捐赠科研通 3235815
什么是DOI,文献DOI怎么找? 1788530
邀请新用户注册赠送积分活动 871225
科研通“疑难数据库(出版商)”最低求助积分说明 802600