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    Development and validation of a computationally efficient pseudo 3D model for planar SOFC integrated with a heating furnace

    Access Status
    Fulltext not available
    Authors
    Tang, S.
    Amiri, A.
    Periasamy, Vijay
    Tade, Moses
    Date
    2016
    Type
    Journal Article
    
    Metadata
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    Citation
    Tang, S. and Amiri, A. and Periasamy, V. and Tade 2016. Development and validation of a computationally efficient pseudo 3D model for planar SOFC integrated with a heating furnace. Chemical Engineering Journal. 290: pp. 252-262.
    Source Title
    Chemical Engineering Journal
    DOI
    10.1016/j.cej.2016.01.040
    ISSN
    1873-3212
    School
    School of Chemical and Petroleum Engineering
    URI
    http://hdl.handle.net/20.500.11937/28407
    Collection
    • Curtin Research Publications
    Abstract

    Efficient numerical models facilitate the study and design of solid oxide fuel cells (SOFCs), stacks, and systems. Whilst the accuracy and reliability of the computed results are usually sought by researchers, the corresponding modelling complexities could result in practical difficulties regarding the implementation flexibility and computational costs. The main objective of this article is to adapt a simple but viable numerical tool for evaluation of our experimental rig. Accordingly, a model for a multi-layer SOFC surrounded by a constant temperature furnace is presented, trained and validated against experimental data. The model consists of a four-layer structure including stand, two interconnects, and PEN (Positive electrode–Electrolyte–Negative electrode); each being approximated by a lumped parameter model. The heating process through the surrounding chamber is also considered. We used a set of V–I characteristics data for parameter adjustment followed by model verification against two independent sets of data. The model results show a good agreement with practical data, offering a significant improvement compared to reduced models in which the impact of external heat loss is neglected. Furthermore, thermal analysis for adiabatic and non-adiabatic process is carried out to capture the thermal behaviour of a single cell followed by a polarisation loss assessment. Finally, model-based design of experiment is demonstrated for a case study.

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