Modelling the Performance of a CO<sub>2</sub> Absorber Containing Structured Packing
Bibliographic record
Abstract
A comprehensive mathematical model was developed to simulate the absorption of carbon dioxide (CO 2 ) into aqueous solutions of monoethanolamine (MEA) in a packed column containing Sulzer DX structured packing. Experimental work was conducted to generate absorption data that were used to verify the model. Simulation results showed that the model predicted the performance of the packed column with reasonable accuracy. The average absolute deviation (AAD) of the model was 28%. Nonlinear regression techniques were used during the formulation of the model to develop a new correlation for predicting the effective surface area ( A e ) of Sulzer DX structured packing. This work has demonstrated the value of such correlations for simulating the absorption performance of different types of packing. Future work will develop similar A e correlations for various types of random and structured packing.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".