A Distributed Electrochemistry Modeling Tool for Simulating SOFC Performance and Degradation

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This report presents a distributed electrochemistry (DEC) model capable of investigating the electrochemistry and local conditions with the SOFC MEA based on the local microstructure and multi-physics. The DEC model can calculate the global current-voltage (I-V) performance of the cell as determined by the spatially varying local conditions through the thickness of the electrodes and electrolyte. The simulation tool is able to investigate the electrochemical performance based on characteristics of the electrode microstructure, such as particle size, pore size, electrolyte and electrode phase volume fractions, and triple-phase-boundary length. It can also investigate performance as affected by fuel and oxidant gas ... continued below

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Recknagle, Kurtis P.; Ryan, Emily M. & Khaleel, Mohammad A. October 13, 2011.

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Description

This report presents a distributed electrochemistry (DEC) model capable of investigating the electrochemistry and local conditions with the SOFC MEA based on the local microstructure and multi-physics. The DEC model can calculate the global current-voltage (I-V) performance of the cell as determined by the spatially varying local conditions through the thickness of the electrodes and electrolyte. The simulation tool is able to investigate the electrochemical performance based on characteristics of the electrode microstructure, such as particle size, pore size, electrolyte and electrode phase volume fractions, and triple-phase-boundary length. It can also investigate performance as affected by fuel and oxidant gas flow distributions and other environmental/experimental conditions such as temperature and fuel gas composition. The long-term objective for the DEC modeling tool is to investigate factors that cause electrode degradation and the decay of SOFC performance which decrease longevity.

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  • Report No.: PNNL-20555
  • Grant Number: AC05-76RL01830
  • DOI: 10.2172/1029092 | External Link
  • Office of Scientific & Technical Information Report Number: 1029092
  • Archival Resource Key: ark:/67531/metadc841652

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Office of Scientific & Technical Information Technical Reports

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Creation Date

  • October 13, 2011

Added to The UNT Digital Library

  • May 19, 2016, 3:16 p.m.

Description Last Updated

  • Dec. 5, 2016, 2:22 p.m.

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Recknagle, Kurtis P.; Ryan, Emily M. & Khaleel, Mohammad A. A Distributed Electrochemistry Modeling Tool for Simulating SOFC Performance and Degradation, report, October 13, 2011; Richland, Washington. (digital.library.unt.edu/ark:/67531/metadc841652/: accessed September 21, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.