Efficient Parallel Simulation of Direct Methanol Fuel Cell Models

[+] Author and Article Information
S. Rajasekaran, R. Ammar, K. Reifsnider, L. Achenie, A. Mohamed, G. Zhang, M. Ahmed

 School of Engineering, University of Connecticut, Storrs, Connecticut, 06269 USA

J. Fuel Cell Sci. Technol 2(2), 141-144 (Aug 13, 2004) (4 pages) doi:10.1115/1.1840866 History: Received March 23, 2004; Revised August 13, 2004

Fuel cells, as highly efficient and environment-friendly power sources, have attracted ever-increasing research and development in the past few decades. Mathematical modeling and simulation are applied to examine the influence of the different physical and electrochemical phenomena occurring in the structure of the fuel cell during operation. Such simulation programs take a very long time (of the order of days or even weeks) to run, especially when accurate results are called for. To achieve accurate results and more insight, we need even more complex models (two- and three-dimensional models). In this paper, we present techniques for the parallel simulation of a mathematical model of direct methanol fuel cells (DMFC). In particular, we employ a paradigm called LessTalk. LessTalk is a general technique that can be employed to reduce communications in parallel computations. Using LessTalk, we have achieved almost linear speedup in simulating the DMFC model. The results were validated against measurements available from the Connecticut Global Fuel Cell Center (CGFCC).

Copyright © 2005 by American Society of Mechanical Engineers
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Grahic Jump Location
Figure 3

Current density (mA∕cm2)

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Figure 4

Speedup comparison

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Figure 1

The communication tree

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Figure 2

Distance through catalyst layer, 5microns



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