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A Computational Analysis of Functionally Graded Anode in Solid Oxide Fuel Cell by Involving the Correlations of Microstructural Parameters

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  • Chao Wang

    (Pacific Northwest National Laboratory, 902 Battelle Blvd, Richland, WA 99354, USA)

Abstract

Functionally-graded electrodes (FGEs) have shown great potential in improving solid oxide fuel cells’ (SOFCs) performance. In order to produce predictions of real FGE operations, a comprehensive numerical model that takes into account all the microstructure parameters, together with two sub model correlations, i.e. , porosity-tortuosity, and porosity-particle size ratio, is utilized, aiming to provide a novel approach to demonstrate the advantages of FGEs for SOFCs. Porosity grading and particle size grading are explored by using this implemented model as a baseline. Multiple types of grading cases are tested in order to study the FGEs at a micro-scale level. Comparison between the FGEs and conventional non-graded electrodes (uniform random composites) is conducted to investigate the potential of FGEs for SOFCs. This study essentially focuses on presenting a new perspective to examine the real-world FGEs performance by involving the correlations of physically connected micro-structural parameters.

Suggested Citation

  • Chao Wang, 2016. "A Computational Analysis of Functionally Graded Anode in Solid Oxide Fuel Cell by Involving the Correlations of Microstructural Parameters," Energies, MDPI, vol. 9(6), pages 1-8, May.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:6:p:408-:d:70755
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    Cited by:

    1. Wang, Chao & Xu, Zhijie & Koeppel, Brian, 2020. "A discrete element model simulation of structure and bonding at interfaces between cathode and cathode contact paste in solid oxide fuel cells," Renewable Energy, Elsevier, vol. 157(C), pages 998-1007.

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