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 |
|---|---|
| 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
Documents and Links
- Chen, Y et al (2014) PLoSONE article
Copyright: © 2014 Chen et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.