Carbon Dioxide Absorption Characteristics of Blended Monoethanolamine and 2-Amino-2-methyl-1-propanol
Bibliographic record
Abstract
The removal of carbon dioxide (CO2) can be achieved by a number of techniques, among which absorption into aqueous alkanolamines is recognized as a commercially viable option for absorbing from high volume gas streams. In this present work, mass-transfer characteristics of blended Monoethanolamine and 2-Amino-2-methyl-1-propanol (MEA-AMP) solution are studied in a bench-scale absorber packed with high-efficiency structured packing. The experiments were conducted under atmospheric pressure, using a simulated gas mixture containing 15% CO2.The packed absorber was operated at different temperatures, i.e. 25degC, 30degC, 40degC, and 50degC while the gas- and liquid-velocities were kept constant at 100 kmol/m3-hr and 5 m3/m2-hr, respectively. The total alkanolamine concentration was 5.0 kmol/m3. The MEA/AMP mixing ratio and CO2loading of the blended solution were varied from 1:2 to 2:1 and from 0.0 to 0.54 mol/mol, respectively. From the trends, it was observed that the absorption rate increased with the increased proportion of MEA in the blend. Higher temperatures resulted in higher absorption rates while higher CO2loadings exhibited lower absorption rates.
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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) | 0.001 | 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".