Comprehensive Study of the Kinetics of the Oxidative Degradation of CO<sub>2</sub> Loaded and Concentrated Aqueous Monoethanolamine (MEA) with and without Sodium Metavanadate during CO<sub>2</sub> Absorption from Flue Gases
Bibliographic record
Abstract
A comprehensive mechanistic-based kinetic study of the oxidative degradation of CO 2 loaded MEA, with and without a corrosion inhibitor (NaVO 3 ), was performed in a stainless steel rotary-type autoclave with MEA concentrations of 11.4 and 17.9 mol %, NaVO 3 concentration of 0.1 mol %, O 2 pressures of 250 and 350 kPa, and CO 2 loading ranging from 0 to 0.44 (mol of CO 2 )/(mol of MEA) at temperatures of 328−393 K (typical absorber and stripper temperatures). The results showed that the presence of NaVO 3 and increases in MEA concentration, temperature, or O 2 pressure resulted in an increase in the MEA degradation rate. In contrast, an increase in CO 2 loading led to a decrease in the degradation rate. The general mechanistic rate model obtained to represent all the systems investigated was of the following form: − r MEA = { k 1 1 [MEA] a [O 2 ] b }/{ k 2 + k 3 [O 2 ] c + k 5 [CO 2 ] e }. This rate model shows that, in a CO 2 loaded system, the loaded CO 2 acts as a degradation inhibitor. In addition, the order of reaction with respect to MEA ( a ) for all the systems investigated was ∼1.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 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".