DICP OpenIR
Mass minimization of a discrete regenerative fuel cell (RFC) system for on-board energy storage
Li Xiaojin; Xiao Yu; Shao Zhigang; Yi Baolian; Li XJ(李晓锦)
KeywordRegenerative Fuel Cell System On-board Energy Storage Mass Minimization Current Density
Source PublicationJOURNAL OF POWER SOURCES
2010-08-01
DOI10.1016/j.jpowsour.2010.02.045
Volume195Issue:15Pages:4811-4815
Indexed BySCI
SubtypeArticle
Department3
Funding Project301
Contribution Rank1;1
WOS HeadingsScience & Technology ; Physical Sciences ; Technology
WOS SubjectElectrochemistry ; Energy & Fuels
WOS Research AreaElectrochemistry ; Energy & Fuels
WOS KeywordPOLYMER-ELECTROLYTE ; WATER ELECTROLYSIS ; MODEL
AbstractRFC combined with solar photovoltaic (PV) array is the advanced technologic solution for on-board energy storage, e.g. land, sky, stratosphere and aerospace applications, due to its potential of achieving high specific energy. This paper focuses on mass modeling and calculation for a RFC system consisting of discrete electrochemical cell stacks (fuel cell and electrolyzer), together with fuel storage, a PV array, and a radiator. A nonlinear constrained optimization procedure is used to minimize the entire system mass, as well as to study the effect of operating conditions (e.g. current densities of fuel cell and electrolyzer) on the system mass. According to the state-of-the-art specific power of both electrochemical stacks, an energy storage system has been designed for the conditions of stratosphere applications and a rated power output of 12 kW. The calculation results show that the optimization of the current density of both stacks is of importance in designing the light weight on-board energy system. (C) 2010 Elsevier B.V. All rights reserved.
Language英语
URL查看原文
WOS IDWOS:000277820500038
Citation statistics
Cited Times:8[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://cas-ir.dicp.ac.cn/handle/321008/103633
Collection中国科学院大连化学物理研究所
Corresponding AuthorLi XJ(李晓锦)
AffiliationChinese Acad Sci, Dalian Inst Chem Phys, Fuel Cell R&D Ctr, Dalian 116023, Peoples R China
Recommended Citation
GB/T 7714
Li Xiaojin,Xiao Yu,Shao Zhigang,et al. Mass minimization of a discrete regenerative fuel cell (RFC) system for on-board energy storage[J]. JOURNAL OF POWER SOURCES,2010,195(15):4811-4815.
APA Li Xiaojin,Xiao Yu,Shao Zhigang,Yi Baolian,&李晓锦.(2010).Mass minimization of a discrete regenerative fuel cell (RFC) system for on-board energy storage.JOURNAL OF POWER SOURCES,195(15),4811-4815.
MLA Li Xiaojin,et al."Mass minimization of a discrete regenerative fuel cell (RFC) system for on-board energy storage".JOURNAL OF POWER SOURCES 195.15(2010):4811-4815.
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