Kinetic analysis on thermo‐gravimetric profiles of pulverised coal pyrolysis and gasification under different oxy‐fuel environments
Bibliographic record
Abstract
Abstract Reactivity analysis of pulverised coal in O 2 /N 2 /CO 2 environments was carried out using thermo‐gravimetric method. At all temperature ranges, coal combustion in O 2 /CO 2 and O 2 /N 2 environments using equivalent oxygen concentrations was almost similar. However, when oxygen concentration increased the coal burning rate also increased thus reducing the burnout time and net combustion gas volume. With increasing heating rate, coal particles burnt at shorter times and at higher temperatures. Mathematical models of Doyle, Coats–Redfern and Freeman–Carroll were applied to determine activation energy and pre‐exponential factor of oxy‐coal combustion at various heating rates. However, kinetic parameters decreased when heating rates increased from 10 to 50 K/min.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".