Physicochemical characteristics and pyrolysis kinetics of raw and torrefied hybrid poplar wood (NM6 – <i>Populus nigra</i>)
Bibliographic record
Abstract
The present research work is an attempt to focus on thermal kinetics of raw and torrefied hybrid poplar wood (Populus nigra – NM6). The results of the experiment under the optimal condition based on mass and energy yield, which was found to be 270 °C, were evaluated for physiochemical and kinetic characteristics. Comparative pyrolysis of raw and torrified hybrid poplar wood was carried out to understand the enhancement of biofuel characteristics and kinetics after torrefaction. Torrefaction of hybrid poplar led to decreased O/C and H/C ratios due to removal of low-quality volatile materials from thermal degradation of hemicelluolose, resulting in increased higher heating value. The kinetic parameters were determined by different modelling approaches. The model free pyrolysis kinetics approach was found to be the best applicable model. Results of the Kissinger-Akahira-Sunose (KAS) and Ozawa-Flynn-Wall (OFW) methods indicate that torrefied hybrid poplar has a decreased activation energy of 168 kJ/mol and 170 kJ/mol compared to raw poplar's 202 kJ/mol and 201 kJ/mol, respectively. Fourier transform infrared (FTIR) analysis indicates that torrefied hybrid poplar became more hydrophobic, compared with raw poplar, due to increased aromaticity.
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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".