Industrial Experiments of Biomass Briquettes as Fuels for Bulk Curing Barns
Bibliographic record
Abstract
Biomass briquettes compressed from waste tobacco stalk have been tested for their potential fuel substitution of coal for the bulk curing operation. Parallel experiments were conducted in industrial scale bulk curing barns at six locations in Yunnan province of China using coal and biomass briquettes as fuels. The results showed that biomass briquettes performed equally as coal but superior at the high temperature curing stages because of their higher burning rate than coal. The energy efficiency for burning biomass briquettes ranged from 39 to 42%, higher than 36% from burning coal in parallel tests. The substitution of coal by the waste tobacco stalk briquettes, in conjunction with improvement in barn energy efficiency, offers the greatest potential for the Chinese tobacco industry to meet the Chinese national greenhouse gas emission intensity target of being 40–45% below its 2005 emissions level by 2020.
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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".