Thermodynamic Analysis of the Absorption Enhanced Steam Reforming of Biofuel Model Compounds
Bibliographic record
Abstract
Thermodynamic analysis of the steam reforming of biofuel model compounds using CaO, and Na2ZrO3, as CO2 absorbents was performed to determine favorable operating conditions to produce a high hydrogen ratio (HR, molsH2 produced/molsHC fed) and concentration (%H2) gas product. Biofuel compounds (HC’s) used were: 2,4-dimethylphenol (DMP), furfural (FUR) and vanillin (VAI). Equilibrium product compositions were studied at 300-850°C, steam to hydrocarbon molar ratio (S/HC) and CO2 absorbent at 1 atm. S/HC varied from stoichiometric; 15:1 (DMP), 13:1 (VAI) and 8:1 (FUR) to twice and trice their stoichiometric values, respectively. At stoichiometric S/HC ratios results indicate significant carbon formation with conventional reforming at T < 600°C, with no carbon formation using absorbents with any of the HC’s. The use of a CO2 absorbent resulted in an increase in HR and H2 purity of about 3 and 30% higher, respectively. The order from high to low HR was: VA>DMP>FUR.
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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) | 0.002 | 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".