Table of Contents
ISRN Mechanical Engineering
Volume 2013, Article ID 872873, 6 pages
http://dx.doi.org/10.1155/2013/872873
Research Article

Optimum Conditions for Maximum Power of a Direct Methanol Fuel Cell

1Fuel Cell Research Technology Group, Department of Mechanical Engineering, Babol University of Technology, Babol 47148-71167, Iran
2Department of Mechanical Engineering, University of Tehran, Tehran 14395-515, Iran

Received 7 June 2013; Accepted 11 July 2013

Academic Editors: J. K. Chen and J. Clayton

Copyright © 2013 Mojtaba Tafaoli-Masoule et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

It is well known that anode and cathode pressures and cell temperature are the effective parameters in performance of Direct Methanol Fuel Cell (DMFC). In the present study, the genetic algorithm as one of the most powerful optimization tools is applied to determine operating conditions which result in the maximum power density of a DMFC. A quasi-two-dimensional, isothermal model is presented to determine maximum power of a DMFC. For validation of this model, the results of the model are compared to experimental results and shown to be in good agreement with them.