MétaCan
Menu
Back to cohort
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 cm 2 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 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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.581
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.036
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 teacher head, not a consensus.

Study designSimulation or modeling
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

Citations1
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueECS Meeting AbstractsSame topicAdvanced battery technologies researchFrench-language works237,207