Noncatalytic Gasification of Lignin in Supercritical Water Using a Batch Reactor for Hydrogen Production: An Experimental and Modeling Study
Why this work is in the frame
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Bibliographic record
Abstract
In this work, Central Composite Design (CCD) methodology was first introduced to noncatalytic SCWG of lignin for experimental design, model building, and data analysis. Noncatalytic SCWG of lignin was performed in a batch reactor with the specific focus on hydrogen yield optimization. By both experimental and statistical modeling, the main effects as well as interaction effects of three parameters including temperature, pressure, and water to biomass ratio were investigated in a wide range of 399–651 °C, 23–29 MPa, 3–8, respectively. As the result, up to 651 °C higher temperature is desirable for hydrogen production; however, change of pressure from 23–29 MPa did not show significant effect on hydrogen yield. Strong interaction between temperature and water to biomass ratio was observed at temperatures higher than 525 °C, and a dramatic decrease in hydrogen yield with increase in water to biomass ratio was observed at 600 °C. According to the model, the maximum hydrogen yield can reach 1.60 mmol/g biomass when the reaction conditions are temperature = 651 °C, pressure = 25 MPa, and water to biomass ratio = 3.9.
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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