Rigorous Model for Predicting the Behavior of CO<sub>2</sub> Absorption into AMP in Packed-Bed Absorption Columns
Bibliographic record
Abstract
A rigorous computer model was developed for the simulation of the absorption of CO 2 in aqueous 2-amino-2-methyl-1-propanol (AMP) solutions in a packed absorption column that takes into account the heat effects. This model predicts the concentration and the temperature profiles along the packed column for the CO 2 −AMP system. These profiles were compared with the experimental data that were obtained from two pilot-plant studies. The first study was with a column packed with 12.7-mm Berl Saddles, and the second study was with a high-efficiency structured packed absorber. The predicted results were found to be in close agreement with the measured values. For the experimental data from University of British Columbia, the average absolute deviations between the predicted and measured data in terms of concentration and temperature profiles are 9.7% and 2.3%, respectively. For the experimental data from University of Regina, the average absolute deviation between the predicted and measured concentration profiles is 13.8%. The model predictions could be improved by using more accurate physicochemical properties, when available.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".