DocumentCode :
1125086
Title :
An electrochemical-based fuel-cell model suitable for electrical engineering automation approach
Author :
Corrêa, Jeferson M. ; Farret, Felix A. ; Canha, Luciane N. ; Simões, Marcelo G.
Author_Institution :
Colorado Sch. of Mines, Golden, CO, USA
Volume :
51
Issue :
5
fYear :
2004
Firstpage :
1103
Lastpage :
1112
Abstract :
This paper presents a dynamic electrochemical model for representation, simulation, and evaluation of performance of small size generation systems emphasizing particularly proton exchange membrane fuel-cell (PEMFC) stacks. The results of the model are used to predict the output voltage, efficiency, and power of FCs as a function of the actual load current and of the constructive and operational parameters of the cells. Partial and total load insertion and rejection tests were accomplished to evaluate the dynamic response of the studied models. The results guarantee a better analytical performance of these models with respect to former ones with a consequent reduction in time and costs of projects using FCs as the primary source of energy. Additionally, this electrochemical model was tested for the SR-12 Modular PEM Generator, a stack rated at 500 W, manufactured by Avista Laboratories, for the Ballard Mark V FC and for the BCS 500-W stack.
Keywords :
dynamic response; power generation control; power system simulation; proton exchange membrane fuel cells; PEMFC; SR-12 modular PEM generator; dynamic response; electrical engineering automation; electrochemical-based fuel-cell model; generation systems; load current; load insertion test; load rejection test; proton exchange membrane fuel-cell stacks; Automation; Biomembranes; Costs; Electrical engineering; Performance analysis; Power system modeling; Predictive models; Protons; Testing; Voltage; Automation; FCs; control; fuel cells; modeling and simulation;
fLanguage :
English
Journal_Title :
Industrial Electronics, IEEE Transactions on
Publisher :
ieee
ISSN :
0278-0046
Type :
jour
DOI :
10.1109/TIE.2004.834972
Filename :
1339484
Link To Document :
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