Synthesis and characterization of hydrochars produced by hydrothermal carbonization of oil palm shell
Bibliographic record
Abstract
Abstract In this paper, hydrothermal carbonization (HTC) is applied to oil palm shells to produce a solid fuel known as hydrochar. The effect of reaction temperatures 220–290 °C at reaction time 30 min, and a biomass to water ratio of 0.15 g/g (15 wt %) was investigated for synthesis of hydrochar. The hydrochar yield percentage decreased from 62.4 to 43 % with increasing temperature from 220 to 290 °C . In addition, carbon percentage increased with an increase in temperature from 26.93 (oil palm shell) to 63.77 % (hydrochar produced at 290 °C). The higher heating value (HHV) tended to increase from 12.24 MJ/kg (oil palm shell) to 26.80 MJ/kg for hydrochar products. The raw palm shell and hydrochars were characterized using Fourier Transform Infrared (FTIR), Branuer‐Emmett‐Teller (BET), Field Emission Electron Microscopy (FESEM), and thermogravimetric analysis (TGA). Surface porosity of hydrochar product increased, which resulted in a compacted surface and large surface area. BET surface area, total pore volume, and average pore diameter were improved from 0.316 m 2 /g, 0.001 29 cm 3 /g, and 45.1153 nm to 12.5996 m 2 /g, 0.0557 cm 3 /g, and 113.4120 nm, respectively, at 260 °C .
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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".