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Record W2609771467 · doi:10.1149/ma2017-01/2/143

A Flow through Porous Electrode Cell Design for the All Vanadium Redox Flow Battery

2017· article· en· W2609771467 on OpenAlexaff
Jialang Li, Daouda Fofana, Fatemeh Shakeri Hosseinabad, Edward P.L. Roberts

Bibliographic record

VenueECS Meeting Abstracts · 2017
Typearticle
Languageen
FieldEngineering
TopicAdvanced battery technologies research
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsFlow batteryVanadiumElectrolyteElectrodeMaterials scienceVolumetric flow rateRedoxPressure dropSulfuric acidChemical engineeringChemistryAnalytical Chemistry (journal)Inorganic chemistryMechanicsChromatographyEngineering

Abstract

fetched live from OpenAlex

A new flow field using a flow-through design has been evaluated for the all vanadium redox flow batteries (VRB). By dividing the flow between flow-by and a portion of the flow going through the electrode, a significant improvement in the performance was obtained. A 5 cm2 carbon paper (39AA SIGRACET) electrode was used, and the gap between the membrane and each electrode was 2 mm. A vanadium electrolyte system using mixed sulfuric and hydrochloric acid was used. Charging / discharging cycles were performed and compared with the flow-by design. The polarization curve was also compared for a range of states of charge and flow rate. Moreover, the influence of the concentration of vanadium electrolyte and flow rate on the coulombic, voltage, energy efficiency and the pressure drop were evaluated for the new cell design.

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)0.001
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: Methods · Consensus signal: Methods
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.036
GPT teacher head0.279
Teacher spread0.243 · 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
GenreMethods

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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Citations1
Published2017
Admission routes1
Has abstractyes

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