Studies of SO<sub>2</sub>- and O<sub>2</sub>-Induced Degradation of Aqueous MEA during CO<sub>2</sub> Capture from Power Plant Flue Gas Streams
Bibliographic record
Abstract
A comprehensive study was conducted to evaluate the contributions of sulfur dioxide (SO 2 ) and oxygen (O 2 ) to the degradation of monoethanolamine (MEA) during CO 2 capture from power-plant flue gas streams. The study was performed in a 600-mL semibatch autoclave reactor, using aqueous MEA concentrations in the range of 3−7 mol/L at temperatures in the range of 328−413 K and a constant gas pressure of 250 kPa. The aqueous MEA was contacted with SO 2 /O 2 /N 2 gas mixtures that had SO 2 concentrations in the range of 6−196 ppm and O 2 concentrations in the range of 6−100 mol %. The effects of CO 2 and a corrosion inhibitor (NaVO 3 ) were also evaluated. The results showed that both SO 2 and O 2 were detrimental, because they accelerated the rate of MEA degradation. NaVO 3 also accelerated the MEA degradation rate, whereas CO 2 had the opposite effect. A new kinetic model was formulated to account for the presence of O 2 and the option of the presence or absence of SO 2 in the flue gas stream. This was of the form:
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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) | 0.000 | 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".