Prediction of anode performances of direct methanol fuel cells with different flow-field design using computational simulation

Three-dimensional computational simulation was employed to illustrate the performance characteristics according to the flow-field design by solving the physics in the flow field and the diffusion layer and by calculating the electrochemical reaction at the catalyst layer. The pressure loss and the concentration distribution in the anode were analyzed for four types of flow field, parallel, serpentine, parallel serpentine and zigzag type. Also the anode current density distribution was predicted at the various overpotentials. The cell performance was proportional to the pressure drop for all the flow-field types. Zigzag type showed the best performance which has a good resistance against the fuel concentration polarization and the next was serpentine.

[1]  Chao-Yang Wang,et al.  Mathematical Modeling of Liquid-Feed Direct Methanol Fuel Cells , 2003 .

[2]  W. M. Taama,et al.  The impact of mass transport and methanol crossover on the direct methanol fuel cell , 1999 .

[3]  K. Scott,et al.  A one dimensional model of a methanol fuel cell anode , 2004 .

[4]  Keith Scott,et al.  Carbon dioxide evolution patterns in direct methanol fuel cells , 1999 .

[5]  A. A. Kulikovsky,et al.  Two-dimensional numerical modelling of a direct methanol fuel cell , 2000 .

[6]  D. Peck,et al.  A performance evaluation of direct methanol fuel cell using impregnated tetraethyl-orthosilicate in cross-linked polymer membrane , 2001 .

[7]  Brant A. Peppley,et al.  A Review of Mathematical Models for Hydrogen and Direct Methanol Polymer Electrolyte Membrane Fuel Cells , 2004 .

[8]  M. Bartolozzi,et al.  A Comparative Investigation of Proton and Methanol Transport in Fluorinated Ionomeric Membranes , 2000 .

[9]  D. Stolten,et al.  Novel method for investigation of two-phase flow in liquid feed direct methanol fuel cells using an aqueous H2O2 solution , 2004 .

[10]  Shimshon Gottesfeld,et al.  Methanol transport through Nafion membranes : Electro-osmotic drag effects on potential step measurements , 2000 .

[11]  A. A. Kulikovsky Model of the flow with bubbles in the anode channel and performance of a direct methanol fuel cell , 2005 .

[12]  Bongdo Lee,et al.  Analysis of DMFC/battery hybrid power system for portable applications , 2004 .

[13]  Eugene S. Smotkin,et al.  Methanol crossover in direct methanol fuel cells: a link between power and energy density , 2002 .

[14]  Christopher Hebling,et al.  Investigation of fractal flow-fields in portable proton exchange membrane and direct methanol fuel cells , 2004 .

[15]  Zhigang Qi,et al.  Open circuit voltage and methanol crossover in DMFCs , 2002 .

[16]  Qiang Ye,et al.  In situ visualization study of CO2 gas bubble behavior in DMFC anode flow fields , 2005 .

[17]  Klaus Wippermann,et al.  Experimental evaluation and semi-empirical modeling of U/I characteristics and methanol permeation of a direct methanol fuel cell , 2004 .

[18]  Antonino S. Aricò,et al.  Influence of flow field design on the performance of a direct methanol fuel cell , 2000 .