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Record W1996513652 · doi:10.1021/ie0614024

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

2007· article· en· W1996513652 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIndustrial & Engineering Chemistry Research · 2007
Typearticle
Languageen
FieldEngineering
TopicIndustrial Gas Emission Control
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsFlue gasAqueous solutionChemistryDegradation (telecommunications)Sulfur dioxideSulfurAutoclaveOxygenReaction rate constantEnvironmental chemistryAnalytical Chemistry (journal)Inorganic chemistryKineticsOrganic chemistry

Abstract

fetched live from OpenAlex

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:

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.048
GPT teacher head0.288
Teacher spread0.241 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it