Optimum Conditions for Maximum Power of a Direct Methanol Fuel Cell. (4th August 2013)

• Record Type: Journal Article
• Authors: Tafaoli-Masoule, Mojtaba; Bahrami, Arian; Mohammadrezaei, Danial
• Other Names: Chen J. K. Academic Editor.; Clayton J. Academic Editor.
• Is Part Of: ISRN mechanical engineering. Volume 2013(2013)
• Publication Date: 2013-08-04
• Subjects: Mechanical engineering -- Periodicals; Mechanical engineering; Periodicals; Electronic journals; 621
• DOI: 10.1155/2013/872873
• Languages: English
• ISSNs: 2090-5122

Abstract

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.