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Record W6903383347 · doi:10.11575/prism/25678

Development of Fuel Electrodes for Reversible Solid Oxide Fuel Cell Applications

2017· other· en· W6903383347 on OpenAlexfundno aff

Bibliographic record

VenuePRISM (University of Calgary) · 2017
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaCarbon Management CanadaAlberta Innovates - Technology Futures
KeywordsOxideSolid oxide fuel cellElectrochemistryElectrodeElectrolysisSulfurFuel cellsCatalysisHydrogen

Abstract

fetched live from OpenAlex

The stability, sulfur tolerance, and electrochemical performance of Ni-YSZ (yttria-stabilized zirconia) composites and single phase La0.3M0.7Fe0.7Cr0.3O3-δ (M = Sr, Ca, (LMFCr)) perovskites, for use as fuel electrodes for reversible solid oxide fuel cell (RSOFC) applications, were investigated in detail. RSOFCs are electrochemical devices that can be operated in both the solid oxide fuel cell (SOFC) and solid oxide electrolysis cell (SOEC) modes. Although Ni-YSZ is the most common fuel electrode for RSOFC applications, it is prone to sulfur poisoning in ppm H2S levels at operating temperatures > 650 oC, thereby decreasing the rate of the hydrogen oxidation/reduction reaction (HOR/HER). It is shown that, at ≤ 650 oC, exposure of Ni-YSZ to ≤ 10 ppm H2S unexpectedly enhanced the HOR activity, while at higher temperatures, conventional Ni poisoning was seen. It was concluded that the activation behaviour at ≤ 650 oC was due to the formation of a catalytic Ni-S species (e.g., Ni3S2) at the triple phase boundary where the HOR/HER occurs. The sulfur tolerance of LCFCr electrodes was also investigated in H2 + low ppm H2S, with LCFCr showing the inverse behavior of Ni/YSZ. At > 700 oC, exposure of LCFCr to ≤ 10 ppm H2S activated the HOR/HER, while deactivation was seen at ≤ 700 oC. It was concluded that exposure of LCFCr to H2S at higher temperatures led to an increase in the density of surface FeO2 terminated species, the proposed active site for the HOR/HER. The LSFCr materials were also shown, for the first time, to be very active (comparable or better than other oxide materials (e.g., La1-xSrxCr1-yMnyO3-δ)) and stable electrocatalysts in CO/CO2 gas environments in both the SOFC and SOEC reaction directions at 600-800 oC. LSFCr was shown to be structurally stable in pure CO2 and 70% CO2:30% CO mixtures at 800 oC, with no major impurities detected. Also, extensive electrochemical characterization, based on both 2-electrode and 3-electrode full and half cell configurations, showed that LSFCr was more active as an electrocatalyst for the reduction of CO2 than for the oxidation of CO. Furthermore, it was found that the surface interaction of CO2 with LSFCr (adsorption, dissociation, electron transfer) was the slowest step in the reaction, relative to oxide ion transport processes.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.135
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.014
GPT teacher head0.227
Teacher spread0.212 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations1
Published2017
Admission routes1
Has abstractyes

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