Heterogeneous Numerical Modelling for the Autothermal Reforming of Synthetic Crude Glycerol in a Fixed Bed Reactor
Bibliographic record
Abstract
This paper presents a numerical reactor model for the catalytic autothermal reforming (ATR) reaction of crude glycerol in fixed bed tubular reactor over an in-house developed metal oxide catalyst. The heterogeneous model accounts for a two-phase system of solid catalyst and bulk feed gas developed using finite element method. The reaction scheme and intrinsic kinetic rate model over an active, selective, and stable catalyst were integrated in the developed model. The model was validated using experimental data. The modelling results adequately described the detailed gas product composition and distribution, temperature profiles, and conversion propagation in axial direction of the fixed bed reactor over a wide range of reaction temperature and hourly space velocity. The crude glycerol conversion predicted with the model showing close resemblance to those obtained experimentally with an average absolute deviation of 8%. The maximum conversion and yield were 92% and 3 mol. H2/mol. crude glycerol, respectively.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.007 |
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".