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    Numerical Analysis on Influence of Double-Sided 3D-Patterned Cathode Catalyst Layers on Polymer Electrolyte Fuel Cell Performance

    Source: Journal of Electrochemical Energy Conversion and Storage:;2024:;volume( 022 ):;issue: 003::page 31011-1
    Author:
    Noh, Tae Hyoung
    ,
    Nguyen, Van Lap
    ,
    Permatasari, Agnesia
    ,
    So, Magnus
    ,
    Inoue, Gen
    DOI: 10.1115/1.4066635
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: An optimized cathode catalyst layer (CCL) design can improve fuel cell performance. In this study, we tried to optimize the structure by investigating the electrochemical properties of ion and mass transport through various CCL structures with ionomer layer (IL) added using simulation numerical analysis. In the simulation, an electrochemical calculation was performed on the structure with polymer electrolyte membrane (PEM) and IL of CCL using the multiblock model. The simulation was conducted by changing the aspect ratio (AR) structure of the width and height of IL to five conditions so that IL is evenly distributed in the catalyst layer (CL). The result confirmed that the CL 3D IL AR 4.9 structure with the highest aspect ratio showed good performance. In addition, cell performance improved as the uniform reaction area with protons conducting through IL increased and the resistance of protons decreased. Finally, cell performance was predicted based on changes in oxygen concentration (OC), relative humidity (RH), and ionomer/carbon (I/C) ratio. This numerical analysis can show the reaction according to environmental and structural changes and design an optimized structure to improve cell performance.
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      Numerical Analysis on Influence of Double-Sided 3D-Patterned Cathode Catalyst Layers on Polymer Electrolyte Fuel Cell Performance

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4305929
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    contributor authorNoh, Tae Hyoung
    contributor authorNguyen, Van Lap
    contributor authorPermatasari, Agnesia
    contributor authorSo, Magnus
    contributor authorInoue, Gen
    date accessioned2025-04-21T10:19:06Z
    date available2025-04-21T10:19:06Z
    date copyright10/16/2024 12:00:00 AM
    date issued2024
    identifier issn2381-6872
    identifier otherjeecs_22_3_031011.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4305929
    description abstractAn optimized cathode catalyst layer (CCL) design can improve fuel cell performance. In this study, we tried to optimize the structure by investigating the electrochemical properties of ion and mass transport through various CCL structures with ionomer layer (IL) added using simulation numerical analysis. In the simulation, an electrochemical calculation was performed on the structure with polymer electrolyte membrane (PEM) and IL of CCL using the multiblock model. The simulation was conducted by changing the aspect ratio (AR) structure of the width and height of IL to five conditions so that IL is evenly distributed in the catalyst layer (CL). The result confirmed that the CL 3D IL AR 4.9 structure with the highest aspect ratio showed good performance. In addition, cell performance improved as the uniform reaction area with protons conducting through IL increased and the resistance of protons decreased. Finally, cell performance was predicted based on changes in oxygen concentration (OC), relative humidity (RH), and ionomer/carbon (I/C) ratio. This numerical analysis can show the reaction according to environmental and structural changes and design an optimized structure to improve cell performance.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleNumerical Analysis on Influence of Double-Sided 3D-Patterned Cathode Catalyst Layers on Polymer Electrolyte Fuel Cell Performance
    typeJournal Paper
    journal volume22
    journal issue3
    journal titleJournal of Electrochemical Energy Conversion and Storage
    identifier doi10.1115/1.4066635
    journal fristpage31011-1
    journal lastpage31011-9
    page9
    treeJournal of Electrochemical Energy Conversion and Storage:;2024:;volume( 022 ):;issue: 003
    contenttypeFulltext
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