Modeling degradation in SOEC impedance spectra

Jensen, Soren Hojgaard, Hauch, Anne, Knibbe, Ruth, Jacobsen, Torben and Mogensen, Mogens (2013) Modeling degradation in SOEC impedance spectra. Journal of the Electrochemical Society, 160 3: F244-F250. doi:10.1149/2.023303jes

Author Jensen, Soren Hojgaard
Hauch, Anne
Knibbe, Ruth
Jacobsen, Torben
Mogensen, Mogens
Title Modeling degradation in SOEC impedance spectra
Journal name Journal of the Electrochemical Society   Check publisher's open access policy
ISSN 0013-4651
Publication date 2013
Sub-type Article (original research)
DOI 10.1149/2.023303jes
Open Access Status Not yet assessed
Volume 160
Issue 3
Start page F244
End page F250
Total pages 7
Place of publication Pennington, NJ United States
Publisher Electrochemical Society
Language eng
Abstract Solid oxide cell (SOC) performance is limited by various processes. One way to investigate these processes is by electrochemical impedance spectroscopy. In order to quantify and characterize the processes, an equivalent circuit can be used to model the SOC impedance spectra (IS). Unfortunately, the optimal equivalent circuit is often unknown and to complicate matters further, several processes contribute to the SOC impedance - making detailed process characterization difficult. In this work we analyze and model a series of IS measured during steam electrolysis operation of an SOC. During testing, degradation is only observed in the Ni/YSZ electrode and not in the electrolyte or the LSM/YSZ electrode. A batch fit of the differences between the IS shows that a modified Gerischer element provides a better fit to the Ni/YSZ electrode impedance than the frequently used RQ element - albeit neither equivalent circuit provides a perfect fit. However, modeling with the Gerischer element indicates that the Ni/YSZ electrode performance decrease, relates to an electrochemical reaction resistance increase at the electrode triple phase boundaries.
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Mechanical & Mining Engineering Publications
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Citation counts: TR Web of Science Citation Count  Cited 6 times in Thomson Reuters Web of Science Article | Citations
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