Evaluating of Thermal Treatment of Canola Dockage
Bibliographic record
Abstract
Between 10% and 14% of the world’s energy supply could be met by one of the most common sources of renewable energy, biomass. In Canada, canola is one of the main crops grown in Western Canada and approximately 21.3 million tonnes of canola are produced in Canada annually, representing approximately CDN $26.7 billion of economic value. This research project aims to evaluate the potential of canola dockage as an energy source by analyzing its chemical and physical composition as well as the effect of mild thermal treatment (torrefaction) on this material to change its fuel quality.\nIn this project, primary results showed that dockage feedstock was comprised primarily of 65% (w/w) of seed pods with the bulk density of 73±5 g/l. Ash content and volatile matter of raw feedstock accounted for about 6.19±0.16% and 70.1±0.2% (w/w). The carbon, hydrogen, nitrogen, and sulfur content of raw canola dockage was obtained using Carbon, Hydrogen, Nitrogen, and Sulfur analysis and found to be 40.9%, 6.04%, 1.16%, and 0.953% (w/w), respectively. \nIn this study, ten discrete temperatures ranging from 220 to 270 °C and a residence time of 8.5 minutes were selected to assess the effect of torrefaction on canola dockage. The results suggested that canola dockage could feed without plugging. After torrefaction, the mass yield (dry basis) of torrefied solid ranged from 68.7 to 92.4% (w/w). The mean ash content and volatile matter of the dockage used in the torrefaction experiments were found to be 8.67±0.80% (w/w) and 69.9±3.1% (w/w), respectively. After torrefaction, the carbon content increased by 26.6%, while oxygen content decreased by 32.7%. The mean Higher Heating Value (HHV) for the torrefied dockage was determined to be 19.4±0.8 MJ/kg, an 18% increase compared to raw feedstock.\nGas chromatography showed that CH4, C2H6, CO2, N2, and O2 are the main gases produced during torrefaction. The amounts of chemical compositions were determined to be 7.55±0.01%, 13.2±0.2%, and 37.1±0.9% (w/w) for lignin, hemicellulose, and cellulose before torrefaction and 29.0±0.2%, 0.10±0.04%, 34.9±0.2% (w/w), respectively after torrefaction. The intensity of FT-IR peaks changed during torrefaction due to reactions such as decarboxylation and depolymerization. SEM images represented the lost in the compacted structure of biomass implied the presence of some pores-like structure on the surface.
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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 | 0.001 |
| 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) | 0.002 | 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".