Char quality response surfaces from torrefaction of coppiced willow in a horizontal moving bed pilot plant
Bibliographic record
Abstract
Abstract Characterizing the operation of a novel torrefaction plant based on horizontal moving bed reactors was the focus of this research work. Coppiced willow biomass was used as the feedstock for the torrefaction experiments carried out with this plant. The operating temperature and torrefaction residence time were each varied over a wide range in order to understand how these two parameters each influence torrefaction severity. The torrefaction severity was characterized by developing response surface plots for torrefaction metrics, including mass yield, energy yield, milling energy, and elemental composition. The operating conditions were varied from 220–280 °C with an 8–24 min residence time. The coppiced willow biomass was processed into a granular form, resulting in an average length and diameter of 19.3 and 7.5 mm, respectively. The operating conditions were found to produce a wide range of torrefaction severities with a mass yield range from 64.7–91.6 %. Temperature was found to have a greater influence over severity than exposure time. In order to understand the uncertainty of the measurements, experiments were repeated at a central point (250 °C and 16 min) six times. The repeatability was found to be ±0.72 % at the 95 % confidence limit. The response surfaces for mass and energy yield indicate that, for this feedstock, torrefaction severity below 80 % mass yield can be achieved in under 10 min at temperatures of 255 °C and above. This performance compares very favourably with other continuously fed pilot scale torrefaction plants.
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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".