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.
Original language | English |
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Pages (from-to) | e114223 |
Journal | PLoS ONE |
Volume | 9 |
Issue number | 12 |
DOIs | |
Publication status | Published - 9 Dec 2014 |
Keywords
- cathode
- renewable energy
- sustainable energy
- electrolyte fuel cell