A RESEARCH ON N_2O EMISSION OF PETROLEUM COKE COMBUSTION BLENDING WITH COAL IN CFB
Bibliographic record
Abstract
Systematic combustion experiments of mixed fuels with different ratios of petroleum coke over coal are conducted on a 0.5MW_t pilot-scale CFB facility. The effects of various parameters, in terms of the ratio of petroleum coke over coal, the excess air coefficient, the bed temperature, the primary air fraction, the Ca/S ratio on the N_2O emission in the flue gas are revealed in this paper. It indicates from the experiments that with increasing in the ratio of petroleum coke over coal, N_2O emission concentration rises. For puree petroleum coke as fuel, N_2O emission concentration is the lowest than other mixed fuels. It is shown from experimental results that for all fuel mixtures with the primary air fraction, the excess air coefficient and the Ca/S ratio increasing, N_2O concentration rises. When the bed temperature increases, the N_2O concentration drops.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".