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Record W7018103374

CO Tolerance of Nano-architectured Pt-Mo Anode Electrocatalysts for PEM Fuel Cell Systems

2009· dissertation· en· W7018103374 on OpenAlexfundno aff

Bibliographic record

VenueDigital Repository at the University of Maryland (University of Maryland College Park) · 2009
Typedissertation
Languageen
FieldEnergy
TopicElectrocatalysts for Energy Conversion
Canadian institutionsnot available
FundersArmy Research OfficeBallard Power Systems
KeywordsAnodeProton exchange membrane fuel cellElectrocatalystPolarization (electrochemistry)CathodeElectrochemistryElectrode
DOInot available

Abstract

fetched live from OpenAlex

Enhanced CO tolerance of PEM fuel cell anode electrocatalysts is essential for improving the performance of PEM fuel cell systems operating with hydrocarbon reformers. This work explores the CO tolerance of PEM fuel cell membrane electrode assemblies (MEAs) fabricated with two promising nano-architectured Pt-Mo anode electrocatalysts -- Pt<sub>0.8</sub>Mo<sub>0.2</sub> alloy and MoO<sub>x</sub>@Pt core-shell -- which demonstrated extremely high CO tolerance in previous thin-film electrode studies. By holding all other MEA components constant, polarization tests in pure H<sub>2</sub> and H<sub>2</sub> streams contaminated with up to 1000 ppm CO provided a basis for assessing the relative CO tolerance of the catalysts. Anode electrocatalyst stability was also investigated by operating the MEAs in 100 ppm CO over several days. Commercial and in-house fabricated MEAs with a conventional anode catalyst were used for comparison. Pt<sub>0.8</sub>Mo<sub>0.2</sub> demonstrated the highest performance in CO, with a voltage drop of only 95 mV in 100 ppm CO at 0.5 A/cm<super>2</super>, compared to drops of 230 mV for PtRu and 260 mV for the core-shell electrocatalyst. However, the MoO<sub>x</sub>@Pt electrochemical performance, with its reduced Pt content, was comparable to the highly active Pt<sub>0.8</sub>Mo<sub>0.2</sub> electrocatalyst for CO concentrations below 50 ppm on a per gram of precious metal basis, and preliminary stability studies indicate that the core-shell structure may also provide protection against detrimental Mo leaching in the acidic electrolyte. Both Mo-containing catalysts were poorly utilized, perhaps owing to residual surface contamination from the synthesis procedures, suggesting that their performance could be significantly improved with further optimization of fabrication procedures. A system-level model was also used to explore the impact of current-day and potential advances in CO tolerant electrocatalysts on the system performance of a PEM fuel cell system operating in conjunction with a hydrocarbon autothermal reformer and a preferential CO oxidation (PROx) reactor for CO clean-up. Empirical models of CO tolerance fuel cell performance were based on experimental data obtained with the Pt<sub>0.8</sub>Mo<sub>0.2</sub> alloy tested in the experimental portion of this study. As CO tolerance was increased, system efficiencies improved due primarily at conditions where the fuel cell stack operated at high current densities, and the improvement is largely to higher fuel cell voltages and to a lesser extent to reductions in parasitic loads. Furthermore, increased fuel cell CO tolerance permitted significantly lower PROx CO selectivities and CO conversions without the significant penalties in overall system efficiency observed with the present-day CO tolerance of Pt alloy electrocatalysts.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.387
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.003
GPT teacher head0.166
Teacher spread0.163 · 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 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".

Quick stats

Citations0
Published2009
Admission routes1
Has abstractyes

Explore more

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