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Record W4399090204 · doi:10.1021/acs.iecr.4c00268

Proof-of-Concept of the Integrated Methanol Reforming-Desalination Fuel Cell System: Effect of CO<sub>2</sub> and CO on Cell’s Performance

2024· article· en· W4399090204 on OpenAlexaff
Salman Abdalla, Arunchander Asokan, Matthew E. Suss, Michael Patrascu, David S. A. Simakov

Bibliographic record

VenueIndustrial & Engineering Chemistry Research · 2024
Typearticle
Languageen
FieldEngineering
TopicFuel Cells and Related Materials
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsDesalinationMethanolChemical engineeringProcess engineeringFuel cellsChemistryMaterials scienceEnvironmental scienceOrganic chemistryEngineeringMembrane

Abstract

fetched live from OpenAlex

Desalination fuel cell (DFC) is an electrochemical cell driven by hydrogen–oxygen redox reactions to simultaneously generate electricity and desalted water. Methanol reforming (MR), although being a relatively well-established method for H 2 generation, produces CO 2 and small amounts of CO. While the detrimental effect of CO on proton exchange membrane fuel cells has been extensively studied, the effect of CO on DFC performance has not yet been investigated. In this study, we introduce a novel integrated MR–DFC system and investigate its performance characteristics experimentally. Specifically, we examined the system’s response to the presence of CO 2 and CO in the MR outlet stream that is directly fed to the DFC inlet. Our findings reveal a decrease in the open-circuit voltage (OCV) and limiting current when utilizing the MR outlet as a feed, although the ohmic region remains intact and the desalination process is not affected significantly. Rotating disk electrode (RDE) tests were conducted to validate the observed reduction in the OCV. A stability test was conducted for 25 h, revealing that feeding the MR outlet to DFC initially provides a similar discharge current to that with pure H 2 feed, followed by certain degradation that was attributed to CO poisoning. Our study provides valuable insights into the performance of the integrated MR-DFC unit, advancing the development of this sustainable water-power system.

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)0.000
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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.021
GPT teacher head0.262
Teacher spread0.240 · 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".

Quick stats

Citations3
Published2024
Admission routes1
Has abstractyes

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