A three dimensional multiphysics model of a solid oxide electrochemical cell: A tool for understanding degradation

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Bibtex

@article{abf2559c9c614bbea490025ee6af9cf2,
title = "A three dimensional multiphysics model of a solid oxide electrochemical cell: A tool for understanding degradation",
abstract = "Mitigating degradation is essential for extending the lifetime of solid oxide electrochemical cells (SOCs). The conditions leading to degradation, e.g. overpotentials, gas partial pressures, thermal gradients are hard, if not impossible, to retrieve experimentally. Thus, to deconvolute the response from cell testing, modeling can be applied to understand the degradation phenomena in greater detail. Modeling of SOCs is well developed. For computational efficiency, the electrodes are often represented with a mathematical abstraction of zero thickness layer. In this work, further attention is given to the local conditions in the through-thickness of the electrodes, by rigidly integrating classical electrochemistry into a three dimensional multiphysics model of an SOC. Hereby, local conditions (e.g. overpotential) vary through the electrode, and with the coupling to the different transport phenomena occurring (mass, current, momentum and species), this becomes available in three dimensions, throughout a cell. To investigate the validity of the model, a high number of experiments are conducted at different operating conditions, i.e. in both fuel cell and electrolysis mode of operation with H2/H2O as feedstock varying parameters such as temperature, gas flows and gas compositions.",
keywords = "Degradation, Modeling, Potential profiles, Solid oxide electrochemical cells, Transport phenomena",
author = "Maria Navasa and Christopher Graves and Christodoulos Chatzichristodoulou and {L{\o}ye Skafte}, Theis and Bengt Sund{\'e}n and {Lund Frandsen}, Henrik",
year = "2018",
month = "7",
doi = "10.1016/j.ijhydene.2018.04.164",
language = "English",
volume = "43",
pages = "11913--11931",
journal = "International Journal of Hydrogen Energy",
issn = "1879-3487",
publisher = "Elsevier",
number = "27",

}