DICP OpenIR
A novel method for analysis and prediction of methanol mass transfer in direct methanol fuel cell
Ji, Feng1,2; Yang, Linlin1; Sun, Hai1; Wang, Suli1; Li, Huanqiao1; Jiang, Luhua1; Sun, Gongquan1
KeywordGas/liquid Flow Coupled With Electrochemical Reaction Direct Methanol Fuel Cell Mass Transfer Coefficient Fuel Utilization Efficiency Dimensional Analysis
Source PublicationENERGY CONVERSION AND MANAGEMENT
2017-12-15
ISSN0196-8904
DOI10.1016/j.enconman.2017.10.083
Volume154Pages:482-490
Indexed BySCI
SubtypeArticle
WOS HeadingsScience & Technology ; Physical Sciences ; Technology
WOS SubjectThermodynamics ; Energy & Fuels ; Mechanics
WOS Research AreaThermodynamics ; Energy & Fuels ; Mechanics
WOS KeywordGAS-EVOLVING ELECTRODES ; PHASE FREE-CONVECTION ; DIFFUSION LAYER ; PERFORMANCE ; ANODE ; TRANSPORT ; CATHODE ; MODEL ; FLOW ; PERMEATION
AbstractTwo-phase gas/liquid flows coupled with electrochemical reactions in the anode of direct methanol fuel cell (DMFC) are quite complicated transport phenomena. The methanol transport is a key factor influencing the performance as well as fuel utilization efficiency. In this paper, a dimensionless correlation of methanol mass transfer in DMFC anode is proposed. Firstly, a method for detecting methanol concentration in catalyst layer was developed, which is the key parameter to obtain the mass transfer coeffidient. Then, the influences of the various factors on the mass transfer coefficient, including physical properties of fluid, structures of the electrode, cell configuration and cell operation conditions, were investigated. And a correlation between four dimensionless groups, i.e., Sh, Re, Sc and II (ratio of consumption and feeding rate of methanol), was deduced using the dimensional analysis. Finally, MEA optimization and fuel utilization efficiency evaluation based on the above analysis is performed. A maximum power density of 178 mW cm(-2) at 80 degrees C and atomistic air is achieved, 40% higher than that of commercial one made by Johnson Matthery.
Language英语
WOS IDWOS:000419410900039
PublisherPERGAMON-ELSEVIER SCIENCE LTD
Citation statistics
Cited Times:5[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://cas-ir.dicp.ac.cn/handle/321008/168459
Collection中国科学院大连化学物理研究所
Corresponding AuthorYang, Linlin; Sun, Gongquan
Affiliation1.Chinese Acad Sci, Dalian Inst Chem Phys, Dalian Natl Lab Clean Energy, Div Fuel Cell & Battery, Dalian 116023, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100039, Peoples R China
Recommended Citation
GB/T 7714
Ji, Feng,Yang, Linlin,Sun, Hai,et al. A novel method for analysis and prediction of methanol mass transfer in direct methanol fuel cell[J]. ENERGY CONVERSION AND MANAGEMENT,2017,154:482-490.
APA Ji, Feng.,Yang, Linlin.,Sun, Hai.,Wang, Suli.,Li, Huanqiao.,...&Sun, Gongquan.(2017).A novel method for analysis and prediction of methanol mass transfer in direct methanol fuel cell.ENERGY CONVERSION AND MANAGEMENT,154,482-490.
MLA Ji, Feng,et al."A novel method for analysis and prediction of methanol mass transfer in direct methanol fuel cell".ENERGY CONVERSION AND MANAGEMENT 154(2017):482-490.
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