Application of Experimental and Modeling Approach for Parameters Optimization of a DMFC using Genetic Algorithm
Publish place: 3rd Fuel Cell Seminar of Iran
Publish Year: 1388
Type: Conference paper
Language: English
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PEEL03_004
Index date: 7 August 2009
Application of Experimental and Modeling Approach for Parameters Optimization of a DMFC using Genetic Algorithm abstract
It is well known that anode and cathode pressures and cell temperature were the effective parameters in Performance of DMFC. In present study, the genetic algorithm as one of the most powerful optimization tools was applied to determine working conditions that obtaining maximum power density of a DMFC. A quasi two dimensional, isothermal model is presented to determine maximum power of DMFC. For validation of this model and experimental investigation, the experimental setup is applied. Results of Modeling are compared to experimental results and have a good agreement with them.
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Application of Experimental and Modeling Approach for Parameters Optimization of a DMFC using Genetic Algorithm authors
M. Tafaoli-Masoule
Fuel Cell Research Technology Group, Department of Mechanical Engineering, Babol University of Technology, P. O. Box ۴۸۴, Babol, Iran
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