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Determination of optimal parameters for dual-layer cathode of polymer electrolyte fuel cell using computational intelligence-aided design.

Chen Y, Huang W, Peng B - PLoS ONE (2014)

Bottom Line: Because of the demands for sustainable and renewable energy, fuel cells have become increasingly popular, particularly the polymer electrolyte fuel cell (PEFC).Among the various components, the cathode plays a key role in the operation of a PEFC.The simulation results were in agreement with previously reported results, suggesting that the proposed technique has potential applications for automating and optimizing the design of PEFCs.

View Article: PubMed Central - PubMed

Affiliation: School of Mechatronics Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, China; Robotic Research Center, University of Electronic Science and Technology of China, Chengdu, 611731, China; School of Engineering and Built Environment, Glasgow Caledonian University, Glasgow, G4 0BA, United Kingdom.

ABSTRACT
Because of the demands for sustainable and renewable energy, fuel cells have become increasingly popular, particularly the polymer electrolyte fuel cell (PEFC). Among the various components, the cathode plays a key role in the operation of a PEFC. In this study, a quantitative dual-layer cathode model was proposed for determining the optimal parameters that minimize the over-potential difference η and improve the efficiency using a newly developed bat swarm algorithm with a variable population embedded in the computational intelligence-aided design. The simulation results were in agreement with previously reported results, suggesting that the proposed technique has potential applications for automating and optimizing the design of PEFCs.

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Determination of optimal parameters for dual-layer cathode of polymer electrolyte fuel cell using computational intelligence-aided design.

Chen Y, Huang W, Peng B - PLoS ONE (2014)

vs.  and .
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4260849&req=5

pone-0114223-g011: vs. and .
Mentions: vs. and .

Bottom Line: Because of the demands for sustainable and renewable energy, fuel cells have become increasingly popular, particularly the polymer electrolyte fuel cell (PEFC).Among the various components, the cathode plays a key role in the operation of a PEFC.The simulation results were in agreement with previously reported results, suggesting that the proposed technique has potential applications for automating and optimizing the design of PEFCs.

View Article: PubMed Central - PubMed

Affiliation: School of Mechatronics Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, China; Robotic Research Center, University of Electronic Science and Technology of China, Chengdu, 611731, China; School of Engineering and Built Environment, Glasgow Caledonian University, Glasgow, G4 0BA, United Kingdom.

ABSTRACT
Because of the demands for sustainable and renewable energy, fuel cells have become increasingly popular, particularly the polymer electrolyte fuel cell (PEFC). Among the various components, the cathode plays a key role in the operation of a PEFC. In this study, a quantitative dual-layer cathode model was proposed for determining the optimal parameters that minimize the over-potential difference η and improve the efficiency using a newly developed bat swarm algorithm with a variable population embedded in the computational intelligence-aided design. The simulation results were in agreement with previously reported results, suggesting that the proposed technique has potential applications for automating and optimizing the design of PEFCs.

Show MeSH