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Record W4412541533 · doi:10.1149/ma2025-01473179mtgabs

Improving the Performance of High Temperature Steam Electrolysis Using Ceria-Modified Perovskite Electrodes

2025· article· en· W4412541533 on OpenAlexaboutno aff
Batuhan Bal, Mykhailo Pidburtnyi, Viola Birss

Bibliographic record

VenueECS Meeting Abstracts · 2025
Typearticle
Languageen
FieldMaterials Science
TopicAdvancements in Solid Oxide Fuel Cells
Canadian institutionsnot available
Fundersnot available
KeywordsElectrolysisMaterials sciencePerovskite (structure)High-temperature electrolysisElectrodeChemical engineeringChemistryEngineeringElectrolyte

Abstract

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Hydrogen production through steam electrolysis at high operating temperatures (ca. 800 °C) using solid oxide electrolysis cells (SOECs) offers significant advantages over low-temperature systems, due to their highly accelerated reaction kinetics and favorable thermodynamics. Traditionally used SOEC catalysts generally have a porous structure and consist of a mixture of electronically conducting Ni and ionically conducting yttria-stabilized zirconia (YSZ) (cermets). These systems rely on regions known as the triple phase boundary (TPB), where the electronically and ionically conducting phases and the reactant gas converge to facilitate steam electrolysis. However, prolonged exposure to high temperatures can lead to Ni particle oxidation, coarsening, and other microstructural changes, resulting in a decrease in TPB length. Therefore, our group has focused on the development and investigation of La₀.₃Ca₀.₇Fe₀.₇Cr₀.₃-δ (LCFCr) electrodes, which have a mixed ionic-electronic conducting (MIEC) perovskite structure (ABO₃). Since the entire surface of MIEC electrodes is then active towards steam electrolysis, they can operate without the need for TPBs. Our studies have shown that the LCFCr electrodes remain stable over a wide oxygen partial pressure range [1], making them a suitable candidate for symmetrical electrolyte-supported cell designs. However, while LCFCr electrodes have demonstrated very good performance under electrolysis and co-electrolysis conditions, their relatively low ionic conductivity still remains a barrier to achieving excellent efficiency during steam electrolysis. To address this limitation in other perovskite catalysts powders, such as La0.6Sr0.4Co0.2Fe0.8O3−δ (LSCF), ionically conducting samaria-doped ceria (SDC) powder was mixed in with LSCF to enhance both CO2 and water electrolysis[2,3]. In our group, SDC infiltration and co-infiltration of SDC and LCFCr phases into the LCFCr backbone [4] were both investigated, initially for use as an air electrode. However, SDC infiltration tends to block catalytically active sites by forming a dense and continuous coating that hinders gas diffusion to the underlying active MIEC surface, leading to an increase in the low frequency resistance. In contrast, co-infiltration creates a more balanced microstructure that preserves the MIEC active sites while also enhancing ionic conductivity. However, the performance of infiltrated LCFCr-parent backbones has not been investigated previously under either steam electrolysis or co-electrolysis conditions. In this study, low-surface-area 20% mol samaria-doped ceria (SDC20) powders were mechanically mixed with LCFCr-parent powders at a 50 wt% ratio to both enhance the ionic conductivity of parent LCFCr electrodes while preventing the blockage of active sites. In order to evaluate their performance, composite LCFCr–SDC20 electrodes were placed onto both sides of a trilayer SDC/YSZ/SDC electrolyte via blade coating. Electrochemical evaluation of the ‘fuel electrode’ was performed under varying H₂O:H₂ gas mixtures at 800 °C using cyclic voltammetry, impedance spectroscopy, and chronoamperometry techniques via a three-electrode configuration. In 3-electrode configuration, a reference electrode (RE) placed on the air side and the electrochemical experiments were performed to understand working electrode (WE) performance under ‘fuel’ flow. After a performance survey, the WE was exposed to a voltage of -1.3 V vs RE for 6 hours to investigate their short-term stability in the electrolysis mode. Under operating conditions of 90 vol% steam/10% H2 at 800 °C, the composite LCFCr–SDC20 cathodes exhibited polarization resistance values at 1.3 V vs RE comparable to LCFCr-parent cathodes (0.18 vs. 0.17 Ω·cm²), while at a cell voltage of -1.3 V vs RE, the LCFCr-parent cathodes initially showed a current density of ~650 mA/cm², whereas the LCFCr–SDC20 composite cathodes gave a current density of 690 mA/cm². After being held at -1.3 V for 6 hours, the current density of LCFCr-parent cathodes increased to 670 mA/cm², while that of the composite cathodes increased to ca. 740 mA/cm², demonstrating that the performance of the composite cathodes improved with time under these operating conditions. Acknowledgements The authors would like to thank the Natural Sciences and Engineering Research Council of Canada (NSERC CRNSG) and the Global Hydrogen Production Technologies (HyPT) Research Center for funding of this research. We also thank Drs. Anand Singh and Scott Paulson for helpful discussions. References [1] A. S. Bass, A. C. Singh, S. Paulson, and V. I. Birss, ECS Meeting Abstracts, MA2023-02, 2238 (2023). [2] Z. Huang, H. Qi, Z. Zhao, L. Shang, B. Tu, and M. Cheng, J. Power Sources, 434, 226730 (2019). [3] K. J. Lee, M. J. Lee, S. H. Park, and H. J. Hwang, J. Korean Ceram. Soc., 53, 489 (2016). [4] B. Molero-Sánchez, P. Addo, A. Buyukaksoy, and V. Birss, J. Electrochem. Soc., 164, F3123 (2017).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.248
Teacher spread0.239 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Published2025
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