APPLICATION OF EXPERIMENTAL AND MODELING APPROACH FOR PARAMETERS OPTIMIZATION OF A DMFC USING GENETIC ALGORITHM

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Tafaoli Masoule M.; SHAKERI M.; SAFARI M.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Seminar Paper

Paper Information

Seminar: IRANIAN FUEL CELL SEMINAR
Year:2009 | Issue:3

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Title

APPLICATION OF EXPERIMENTAL AND MODELING APPROACH FOR PARAMETERS OPTIMIZATION OF A DMFC USING GENETIC ALGORITHM

Author(s)

Tafaoli Masoule M. | SHAKERI M. | SAFARI M.

Keywords

DIRECT METHANOL FUEL CELL

GENETIC ALGORITHM

MODELING

OPERATING CONDITION

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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APA: Copy

Tafaoli Masoule, M., SHAKERI, M., & SAFARI, M.. (2009). APPLICATION OF EXPERIMENTAL AND MODELING APPROACH FOR PARAMETERS OPTIMIZATION OF A DMFC USING GENETIC ALGORITHM. IRANIAN FUEL CELL SEMINAR. SID. https://sid.ir/paper/908041/en

Vancouver: Copy

Tafaoli Masoule M., SHAKERI M., SAFARI M.. APPLICATION OF EXPERIMENTAL AND MODELING APPROACH FOR PARAMETERS OPTIMIZATION OF A DMFC USING GENETIC ALGORITHM. 2009. Available from: https://sid.ir/paper/908041/en

IEEE: Copy

M. Tafaoli Masoule, M. SHAKERI, and M. SAFARI, “APPLICATION OF EXPERIMENTAL AND MODELING APPROACH FOR PARAMETERS OPTIMIZATION OF A DMFC USING GENETIC ALGORITHM,” presented at the IRANIAN FUEL CELL SEMINAR. 2009, [Online]. Available: https://sid.ir/paper/908041/en

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