Optimum design parameters and operating condition for maximum power of a direct methanol fuel cell using analytical model and genetic algorithm

Energy ◽  
2014 ◽  
Vol 70 ◽  
pp. 643-652 ◽  
Author(s):  
M. Tafaoli-Masoule ◽  
A. Bahrami ◽  
E.M. Elsayed
Keyword(s):  
Genetic Algorithm ◽  
Fuel Cell ◽  
Analytical Model ◽  
Optimum Design ◽  
Direct Methanol Fuel Cell ◽  
Maximum Power ◽  
Design Parameters ◽  
Operating Condition ◽  
Direct Methanol ◽  
Methanol Fuel Cell

scholarly journals Optimum Conditions for Maximum Power of a Direct Methanol Fuel Cell

2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Mojtaba Tafaoli-Masoule ◽  
Arian Bahrami ◽  
Danial Mohammadrezaei
Keyword(s):  
Fuel Cell ◽  
Direct Methanol Fuel Cell ◽  
Operating Conditions ◽  
Maximum Power ◽  
Effective Parameters ◽  
Cell Temperature ◽  
Isothermal Model ◽  
Direct Methanol ◽  
Methanol Fuel Cell ◽  
Good Agreement

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.

Systematic Experimental Analysis of a Direct Methanol Fuel Cell

2006 ◽  
Vol 4 (4) ◽  
pp. 418-424 ◽  
Author(s):  
A. Casalegno ◽  
R. Marchesi ◽  
F. Rinaldi
Keyword(s):  
Fuel Cell ◽  
Direct Methanol Fuel Cell ◽  
Operating Conditions ◽  
Experimental Results ◽  
Cell Temperature ◽  
Systematic Analysis ◽  
Operating Condition ◽  
Direct Methanol ◽  
Methanol Fuel Cell

Different studies are carried out to compare the performances of different fuel cell constructive materials and operating conditions. In this work, a methodology for the characterization of DMFC experimental results in term of uncertainty and repeatability and for a systematic analysis of operating condition influence on performance is presented. The measurement system (composed of calibrated instruments) and experimental and data elaboration procedures are described. Experimental results, characterized by uncertainty and repeatability, are discussed for different operating conditions: fuel cell temperature, anode flow rate, and methanol concentration. The influence of operating condition history on performance is observed. It arises also from accumulation, both of methanol and carbon dioxide at the anode side; consequently, the operating condition history has to be considered in evaluating direct methanol fuel cell (DMFC) performances and repeatability of measurements. This work confirms that to compare experimental performances of fuel cells, the measurements shall be characterized by traceability, repeatability, reproducibility, and uncertainty.

Effect of Molding Temperature Conditions upon Titanium Mesh MEA Performance for Direct Methanol Fuel Cell

2013 ◽  
Vol 684 ◽  
pp. 347-351
Author(s):  
Xing Xing Wang ◽  
Zhi Yang Li ◽  
Yu Zhu ◽  
Ming Yu Huang ◽  
Hong Jun Ni
Keyword(s):  
Fuel Cell ◽  
Power Density ◽  
Direct Methanol Fuel Cell ◽  
Maximum Power ◽  
Maximum Power Density ◽  
Titanium Mesh ◽  
Molding Temperature ◽  
Temperature Conditions ◽  
Direct Methanol ◽  
Methanol Fuel Cell

. In order to obtain suitable titanium mesh MEA (membrane electrode assembly) for direct methanol fuel cell (DMFC) molding temperature conditions, titanium mesh was used as electrode substrate material, Nafion 117 membrane was used as proton exchange membrane, PtRu/XC-72R and Pt/XC-72R were used as anode catalyst and cathode catalyst respectively, anode and cathode of titanium mesh MEA were prepared by drop-coating method. When the MEAs were molded by hot-pressing under 5 MPa for 180 s with different temperatures of 115°C, 135°C and 155°C, respectively, the maximum power density of Ti mesh-based MEAs increases firstly, after the first peak, it gradually decreases along with the increase of molding pressure conditions, and the maximum power density appears at the molding temperature of 135°C, so conclude that molding temperature of 135°C is more appropriate for making the titanium mesh MEA.

A Simple Analytical Model of a Direct Methanol Fuel Cell

2015 ◽  
Vol 12 (5) ◽  
Author(s):  
Sh. Fakourian ◽  
M. Kalbasi ◽  
M. M. Hasani-Sadrabadi
Keyword(s):  
Fuel Cell ◽  
Analytical Model ◽  
Direct Methanol Fuel Cell ◽  
Gas Diffusion ◽  
Gas Diffusion Layers ◽  
Diffusion Layers ◽  
Flow Channels ◽  
Direct Methanol ◽  
Methanol Transport ◽  
Methanol Fuel Cell

A one-dimensional analytical model of a direct methanol fuel cell (DMFC) was presented. This model was developed to describe the electrochemical reactions on the anode and cathode electrodes, and the transport phenomena in fuel cell consisting of methanol transport from anode to cathode through the membrane (methanol crossover), diffusion of reactants in gas diffusion layers (GDLs), and fluid flow in flow channels. One of the main strike features of this work was that the complicated relations were simplified logically and the model was solved analytically by the first-order differential equation. The results of the model indicated that increasing the current density led to lower methanol concentration in anode in spite of higher oxygen concentration in cathode. The presented model supports the experimental data well.

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