Thermodynamic equilibrium analysis of oxy‐dry reforming of biogas with CO<sub>2</sub> sequestration using Aspen HYSYS
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Bibliographic record
Abstract
Abstract Hydrocarbon reforming route has gained immense attention for producing energy‐effective renewable fuels and/or chemicals in the recent era. In this simulation study, O 2 addition and CH 4 recycling's effect on the dry oxidative reforming reactor's performance was investigated. Aspen HYSYS simulation software was used to assess a biogas‐to‐syngas conversion process's feasibility by integrating with the CH 4 recycling loop and CO 2 sequestration in a dry oxidative reforming process. Simulation runs were performed by varying the O 2 /CH 4 ratio content from 0 to 0.20 and temperature (450 to 700°C). Results illustrated that CH 4 conversion improved by re‐injecting of unreacted CH 4 , followed by CO 2 sequestration to a great extent. In dry oxidative reforming, at stoichiometry O 2 /CH 4 ratio of 0.17, CH 4 conversion (21.7%), and CO 2 conversion (3.3%) were obtained at 500°C, with 1.2 H 2 /CO ratio. Further, 0.308 kg mole/h of H 2 could be produced with biogas (1.0 kg mole/h) at optimal parameters 500°C (temperature) and 0.17 (O 2 /CH 4 ratio) by using recycling loop in one cycle. Thus, dry oxidative reforming coupled with the CH 4 recycling unit provides a better option for syngas/H 2 production and remarkably addresses high energy demand in the dry reforming process.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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