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Journal of Power Sources
Article . 2023 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Advanced insights into gas conversion and diffusion impedance of solid oxide cells by 2D multi-physics modelling

Authors: Julian Taubmann; Xiufu Sun; Omid Babaie Rizvandi; Henrik Lund Frandsen;

Advanced insights into gas conversion and diffusion impedance of solid oxide cells by 2D multi-physics modelling

Abstract

Two-dimensional (2D) multi-physics models of solid oxide cells (SOC) reproduce distributions inside the cell during operation, and allow to implement interdependencies of heat transfer, mass transport, charge transfer, and electrochemistry. So far, this approach has mostly been utilised for transient and steady-state problems, preventing widespread application to electrochemical impedance spectroscopy, one of the main methods in experimentally analysing SOCs. In the present work, a computationally efficient alternative is outlined, surpassing these shortcomings by transforming the set of equations from the transient into the frequency form. The coupled multi-physics implemented by partial differential equations are solved numerically over a 2D domain by the finite element method, reproducing the cross section of the SOC. The model is validated with experimentally obtained polarisation curves and impedance spectra. The 2D model reproduces the experimental results and further visualises frequency-dependent oscillations of gas phase and potentials. These insights separate between impedance features from electrochemistry, gas diffusion, and gas conversion. In addition, overlapping gas conversion and diffusion impedance features at low frequencies are deconvoluted and transition frequency regions are discussed.

Country
Denmark
Related Organizations
Keywords

Multi-physics modelling, Solid oxide fuel cells, Solid oxide electrolysis cells, Electrochemical impedance spectroscopy, 2D-modelling

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Average
Top 10%
Green
hybrid