Bio-oil from Sawdust: Effect of Operating Parameters on the Yield and Quality of Pyrolysis Products
Why this work is in the frame
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Bibliographic record
Abstract
This study investigated the effects of the pyrolysis temperature, feedstock particle size, and vapor residence time on the distribution and quality of liquid and char products from pyrolysis of sawdust in a fluidized-bed reactor. Sawdust and char samples were characterized with elemental and thermogravimetric analyses. Liquid bio-oil sample characterization was performed by Karl Fischer titration, elemental analysis, and gas chromatography–mass spectrometry (GC–MS). The bio-oil yield appeared to be maximized (≈62 wt %) at 500 °C, and the highest concentration of phenols was also produced at this temperature. Both the pyrolysis temperature and sawdust particle size had significant effects on the water content of the bio-oil with the water content being minimized at 500 °C. The yield of bio-oil showed a decreasing trend as the sawdust particle size was increased mainly because of the lower heating rate of larger sawdust particles. The effect of the residence time on the pyrolysis product distributions and their elemental compositions was negligible.
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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 it