Off-gas emission in CO2 capture process using aqueous monoethanolamine solution
Bibliographic record
Abstract
A comprehensive study was conducted to evaluate roles of O2, SO2 (i.e. H2SO3), NO2 (i.e. HNO3), CO2 and temperature to off-gas emissions using conditions normally encountered in the CO2 capture process. Two possible pathways of radical induced oxidation of MEA in the presence/absence of H2SO3, HNO3, and CO2 were proposed to explain the release of NH3 as a major VOCs emission. In the presence of H2SO3, HNO3, and CO2, an increase of their concentrations decreased NH3 concentration, while the rest of VOCs (i.e. acetaldehyde, acetone, diethylamine, 2-butanol, methyl dl-lactate, methanol and ethanol) were found to be insignificantly affected. An increase of temperature was found to increase the concentration of all VOCs detected in this study. Based on mechanism analysis, the roles of H2SO3, HNO3, and CO2 were found to be that of cutting down the route to NH3 formation and instead induced the formation of formate and acetate heat stable salts in MEA solution. Additional liquid MEA analysis revealed that most NH3 was actually trapped and turned into NH4+ salts in MEA solution before it could be emitted as NH3 in the off-gas.
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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 | 0.000 | 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 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".