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    Quantifying Individual Losses in a Direct Methanol Fuel Cell

    Source: Journal of Fuel Cell Science and Technology:;2012:;volume( 009 ):;issue: 001::page 11012
    Author:
    Brenda L. García-Díaz
    ,
    Jennifer R. Patterson
    ,
    John W. Weidner
    DOI: 10.1115/1.4005394
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Studying the performance of a direct methanol fuel cell (DMFC) is complicated by the complex interactions of kinetic and transport processes. As a result, changes in one aspect of the cell have consequences in other aspects, which are difficult to elucidate from full-cell polarization (i.e., voltage versus current) behavior. This study outlines a strategy to use current and voltage relationships from anode half-cells, cathode half-cells, and hydrogen pump coupled with methanol crossover data and a mathematical model. In this way, all the kinetic and transport processes have been quantified, and the cell voltage was deconstructed (i.e., individual voltage losses were quantified). This data analysis accounts for all of the voltage losses observed during the operation of the full cell. As expected, the anode and cathode overpotentials accounted for most of the losses (i.e., 92% on average). Also, the cathode flow rate has been shown to affect the methanol crossover by diffusion. Cells operated at constant stoichiometry or where the cathode flow rate is small can show a parabolic shape in the methanol crossover because the electroosmotic drag dominates over diffusion as the primary transport mechanism for methanol through the membrane. Decrease in the methanol crossover was observed for cells with high compression and thicker cathode electrodes. The one-dimensional model, developed previously (García et al. , 2004, “Mathematical Model of a Direct Methanol Fuel Cell,” J. Fuel Cell Sci. Technol., 1 (1), pp. 43–48), was improved by: (1) including methanol transport from the anode flow channel to the backing layer using a mass transfer resistance and (2) accounting for the unreacted methanol transport through the cathode. The model was able to reasonably predict the anode, cathode, full-cell polarization, and methanol crossover data for methanol concentrations between 0.05 M and 2 M at all operating currents.
    keyword(s): Flow (Dynamics) , Anodes , Direct methanol fuel cells , Methanol , Electric potential , Hydrogen , Testing , Polarization (Electricity) , Pumps , Membranes AND Diffusion (Physics) ,
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      Quantifying Individual Losses in a Direct Methanol Fuel Cell

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    https://yetl.yabesh.ir/yetl1/handle/yetl/149277
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    contributor authorBrenda L. García-Díaz
    contributor authorJennifer R. Patterson
    contributor authorJohn W. Weidner
    date accessioned2017-05-09T00:51:47Z
    date available2017-05-09T00:51:47Z
    date copyrightFebruary, 2012
    date issued2012
    identifier issn2381-6872
    identifier otherJFCSAU-28952#011012_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/149277
    description abstractStudying the performance of a direct methanol fuel cell (DMFC) is complicated by the complex interactions of kinetic and transport processes. As a result, changes in one aspect of the cell have consequences in other aspects, which are difficult to elucidate from full-cell polarization (i.e., voltage versus current) behavior. This study outlines a strategy to use current and voltage relationships from anode half-cells, cathode half-cells, and hydrogen pump coupled with methanol crossover data and a mathematical model. In this way, all the kinetic and transport processes have been quantified, and the cell voltage was deconstructed (i.e., individual voltage losses were quantified). This data analysis accounts for all of the voltage losses observed during the operation of the full cell. As expected, the anode and cathode overpotentials accounted for most of the losses (i.e., 92% on average). Also, the cathode flow rate has been shown to affect the methanol crossover by diffusion. Cells operated at constant stoichiometry or where the cathode flow rate is small can show a parabolic shape in the methanol crossover because the electroosmotic drag dominates over diffusion as the primary transport mechanism for methanol through the membrane. Decrease in the methanol crossover was observed for cells with high compression and thicker cathode electrodes. The one-dimensional model, developed previously (García et al. , 2004, “Mathematical Model of a Direct Methanol Fuel Cell,” J. Fuel Cell Sci. Technol., 1 (1), pp. 43–48), was improved by: (1) including methanol transport from the anode flow channel to the backing layer using a mass transfer resistance and (2) accounting for the unreacted methanol transport through the cathode. The model was able to reasonably predict the anode, cathode, full-cell polarization, and methanol crossover data for methanol concentrations between 0.05 M and 2 M at all operating currents.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleQuantifying Individual Losses in a Direct Methanol Fuel Cell
    typeJournal Paper
    journal volume9
    journal issue1
    journal titleJournal of Fuel Cell Science and Technology
    identifier doi10.1115/1.4005394
    journal fristpage11012
    identifier eissn2381-6910
    keywordsFlow (Dynamics)
    keywordsAnodes
    keywordsDirect methanol fuel cells
    keywordsMethanol
    keywordsElectric potential
    keywordsHydrogen
    keywordsTesting
    keywordsPolarization (Electricity)
    keywordsPumps
    keywordsMembranes AND Diffusion (Physics)
    treeJournal of Fuel Cell Science and Technology:;2012:;volume( 009 ):;issue: 001
    contenttypeFulltext
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