Analysing the thermal and electrical properties of Cocos nucifera shell-based nanofluids as coolant feasibility proton exchange membrane fuel cell

冷却液 纳米流体 材料科学 壳体(结构) 质子交换膜燃料电池 热的 燃料电池 椰子 核工程 机械 机械工程 热力学 复合材料 工程类 化学工程 化学 物理 生物化学 植物 生物
作者
Abdul Raguman,Praveena Vedagiri
标识
DOI:10.1177/09544089241278205
摘要

For an enhancement of the thermal and electrical conductivity of the proton exchange membrane fuel cell (PEMFC), extensive research is actively conducted on various waste bio sources. PEMFC offers the cleanest form of energy, an electrochemical energy conversion device that possesses zero emissions with by-products such as heat and water. In PEMFC, conventional coolants such as water and water:ethylene glycol mixture does not attain the substantial results in terms of heat dissipation, which impacts performance gradually reduces the operating life of the cell. Usually, bio-sources are environmentally friendly and have merits over chemically prepared methods. Bio-based nanofluids have remarkable performance in terms of heat transfer, lower electrical conductivity, and low corrosiveness in the system compared to other metal-based fluids and base fluids, which have also gained a great deal of scrutiny over the past few decades. In this research, bio-sourced Cocos nucifera shell (CNS) is utilised at various concentrations, such as 0.1 vol.-%, 0.3 vol.-% and 0.5 vol.-%, dispersed with a base fluid such as water (W), and ethylene glycol (EG) (80:20) is analysed prior to actual full stack PEMFC. Consequently, heat transfer has been improved by 13% for CNS in 80:20 (W:EG) at 0.5% volume concentration compared with W:EG (80:20). On the basis of findings on thermal, hydraulic and electrical conductivity, various properties have also been determined. Despite the drawbacks of the experimental design, it was concluded that up to 0.5 vol.-% CNS in an 80:20 (W:EG) nanofluid could be used as a cooling medium for PEMFCs with no adverse effects on the electrical performance. It was also observed that the nanofluid improved the efficiency of the fuel cells by reducing the ohmic losses.

科研通智能强力驱动
Strongly Powered by AbleSci AI
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
彭于晏应助刘喜宇采纳,获得10
刚刚
bkagyin应助刘喜宇采纳,获得10
刚刚
xiaoshishu完成签到,获得积分10
刚刚
研友_VZG7GZ应助tguczf采纳,获得10
刚刚
刚刚
研究牛牛完成签到,获得积分10
1秒前
Lucas应助Nora采纳,获得10
1秒前
曹琳完成签到,获得积分10
1秒前
moo发布了新的文献求助10
1秒前
科研通AI6.1应助Mryuan采纳,获得10
1秒前
2026年我要发paper完成签到,获得积分10
1秒前
善学以致用应助czp采纳,获得10
1秒前
马越发布了新的文献求助10
2秒前
3秒前
千空发布了新的文献求助10
3秒前
3秒前
3秒前
feiyuzhang发布了新的文献求助10
3秒前
何必在乎发布了新的文献求助10
4秒前
4秒前
4秒前
英吉利25发布了新的文献求助10
4秒前
派大星发布了新的文献求助10
5秒前
彭于晏应助星河万里采纳,获得10
5秒前
量子星尘发布了新的文献求助10
5秒前
安安完成签到,获得积分10
6秒前
6秒前
6秒前
6秒前
Lily完成签到,获得积分10
6秒前
Hey完成签到 ,获得积分10
6秒前
6秒前
开朗青枫关注了科研通微信公众号
7秒前
7秒前
00发布了新的文献求助10
7秒前
7秒前
8秒前
8秒前
NexusExplorer应助One采纳,获得10
8秒前
笑声像鸭子叫完成签到 ,获得积分10
8秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Aerospace Standards Index - 2026 ASIN2026 3000
Relation between chemical structure and local anesthetic action: tertiary alkylamine derivatives of diphenylhydantoin 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
Principles of town planning : translating concepts to applications 500
Work Engagement and Employee Well-being 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6067851
求助须知:如何正确求助?哪些是违规求助? 7899857
关于积分的说明 16328412
捐赠科研通 5209572
什么是DOI,文献DOI怎么找? 2786550
邀请新用户注册赠送积分活动 1769457
关于科研通互助平台的介绍 1647899