M Tafaoli-Masoule - MSc. graduated, Faculty of Mechanical Engineering, Babol University of Technology
M Shakeri - Associate Professor, Faculty of Mechanical Engineering, Babol University of Technology

The performance of Direct Methanol Fuel cells depends significantly on an appropriate flow field design such as channel's height, channel's wide, channel's length and rib width. With change of channel's height the active area is fixed, but with change of other parameters the active area is changing proportionally so although all of these parameters are very important but the channel's height because of which mentioned reason has a special effect. In this work, we concentrate on the improvement in performance of the Direct Methanol Fuel cell (DMFC) through optimization of the channel height dimensions and because of temperature importance at output power, these two parameters is considered continuousely. For optimization of these parameters, the genetic algorithm is used and an analytical model of DMFC is applied to produce the fitness function. At last some of experiments is applied to validation of algorithm’s results.

DMFC – Optimization – Genetic Algorithm – Experimental setup