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    Numerical Analysis of a Molten Carbonate Fuel Cell Stack in Emergency Scenarios

    Source: Journal of Energy Resources Technology:;2020:;volume( 142 ):;issue: 009::page 090904-1
    Author:
    Szczęśniak, Arkadiusz
    ,
    Milewski, Jarosław
    ,
    Szabłowski, Łukasz
    ,
    Dybiński, Olaf
    ,
    Futyma, Kamil
    DOI: 10.1115/1.4048058
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Molten carbonate fuel cells (MCFCs) offer several advantages that are attracting an increasingly intense research and development effort. Recent advances include improved materials and fabrication techniques as well as new designs, flow configurations, and applications. Several factors are holding back large-scale implementation of fuel cells, though, especially in distributed energy generation, a major one being their long response time to changing parameters. Alternative mathematical models of the molten carbonate fuel cell stack have been developed over the last decade. This study investigates a generic molten carbonate fuel cell stack with a nominal power output of 1 kWel. As daily, weekly, and monthly variations in the electrical power load are expected, there is a need to develop numerical tools to predict the unit’s performance with high accuracy. Hence, a fully physical dynamic model of an MCFC stack was developed and implemented in aspen hysys 10 modeling software to enable a predictive analysis of the dynamic response. The presented model exhibits high accuracy and accounts for thermal and electrochemical processes and parameters. The authors present a numerical analysis of an MCFC stack in emergency scenarios. Further functionality of the model, which was validated using real operational data, is discussed.
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      Numerical Analysis of a Molten Carbonate Fuel Cell Stack in Emergency Scenarios

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    contributor authorSzczęśniak, Arkadiusz
    contributor authorMilewski, Jarosław
    contributor authorSzabłowski, Łukasz
    contributor authorDybiński, Olaf
    contributor authorFutyma, Kamil
    date accessioned2022-02-04T22:00:33Z
    date available2022-02-04T22:00:33Z
    date copyright8/22/2020 12:00:00 AM
    date issued2020
    identifier issn0195-0738
    identifier othergtp_142_09_091004.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4274698
    description abstractMolten carbonate fuel cells (MCFCs) offer several advantages that are attracting an increasingly intense research and development effort. Recent advances include improved materials and fabrication techniques as well as new designs, flow configurations, and applications. Several factors are holding back large-scale implementation of fuel cells, though, especially in distributed energy generation, a major one being their long response time to changing parameters. Alternative mathematical models of the molten carbonate fuel cell stack have been developed over the last decade. This study investigates a generic molten carbonate fuel cell stack with a nominal power output of 1 kWel. As daily, weekly, and monthly variations in the electrical power load are expected, there is a need to develop numerical tools to predict the unit’s performance with high accuracy. Hence, a fully physical dynamic model of an MCFC stack was developed and implemented in aspen hysys 10 modeling software to enable a predictive analysis of the dynamic response. The presented model exhibits high accuracy and accounts for thermal and electrochemical processes and parameters. The authors present a numerical analysis of an MCFC stack in emergency scenarios. Further functionality of the model, which was validated using real operational data, is discussed.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleNumerical Analysis of a Molten Carbonate Fuel Cell Stack in Emergency Scenarios
    typeJournal Paper
    journal volume142
    journal issue9
    journal titleJournal of Energy Resources Technology
    identifier doi10.1115/1.4048058
    journal fristpage090904-1
    journal lastpage090904-6
    page6
    treeJournal of Energy Resources Technology:;2020:;volume( 142 ):;issue: 009
    contenttypeFulltext
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