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Optimum Conditions for Maximum Power of a Direct Methanol Fuel Cell
Author(s) -
Mojtaba Tafaoli-Masoule,
Arian Bahrami,
Danial Mohammadrezaei
Publication year - 2013
Publication title -
isrn mechanical engineering
Language(s) - English
Resource type - Journals
eISSN - 2090-5130
pISSN - 2090-5122
DOI - 10.1155/2013/872873
Subject(s) - direct methanol fuel cell , anode , cathode , isothermal process , maximum power principle , power (physics) , power density , nuclear engineering , materials science , methanol , genetic algorithm , mechanics , thermodynamics , electrical engineering , mathematical optimization , engineering , chemistry , mathematics , physics , electrode , organic chemistry
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.

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