Plasma-assisted dry reforming of methane in a dielectric barrier discharge (DBD)
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".