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Record W7014512050

Plasma-assisted dry reforming of methane in a dielectric barrier discharge (DBD)

2017· dissertation· en· W7014512050 on OpenAlexaff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2017
Typedissertation
Languageen
FieldMedicine
TopicPlasma Applications and Diagnostics
Canadian institutionsMcGill University
Fundersnot available
KeywordsMethaneCarbon dioxide reformingDielectric barrier dischargeGreenhouse gasCarbon dioxideSyngasMethane reformerVolumetric flow rateCatalysis
DOInot available

Abstract

fetched live from OpenAlex

Methane in a Dielectric Barrier Discharge (DBD)by Flora Uwadiegwu Topics on conversion and utilization of methane and carbon dioxide are imperative as they tackle global warming effects from the two greenhouse gases (GHGs).Non-thermal plasma processes have been proposed as an efficient means to reform both gases as they have the advantage of realizing thermodynamically unfavorable reactions due to their unique non-equilibrium properties.Non-thermal processes also overcome the drawback of the high temperature required by conventional catalytic processes.In this work, an AC dielectric-barrier discharge (DBD) was used for the activation of methane and carbon dioxide to produce syngas.The effect of operating parameters such as CH4/CO2 mole ratio and feed gas flow rate on the performance of the plasma process were investigated in terms of the conversion of feed gas, product selectivity and energy conversion efficiency.The results show that the energy efficiency using a DBD is comparable with other dielectric-barrier discharges and even slightly higher but still relatively lower than that of the gliding arc primarily due to its smaller discharge volume.

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)0.004
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.446
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
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 head0.021
GPT teacher head0.282
Teacher spread0.261 · 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
Published2017
Admission routes1
Has abstractyes

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