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Record W2263009607 · doi:10.1021/ie050567u

Modelling the Performance of a CO<sub>2</sub> Absorber Containing Structured Packing

2006· article· en· W2263009607 on OpenAlexafffund
David deMontigny, Ahmed Aboudheir, Paitoon Tontiwachwuthikul, A. Chakma

Bibliographic record

VenueIndustrial & Engineering Chemistry Research · 2006
Typearticle
Languageen
FieldEngineering
TopicCarbon Dioxide Capture Technologies
Canadian institutionsUniversity of WaterlooUniversity of Regina
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsStructured packingPacked bedWork (physics)Absorption (acoustics)Materials scienceAbsolute deviationCarbon dioxideRelative standard deviationAqueous solutionAbsorption capacityBiological systemThermodynamicsMathematicsChemistryChemical engineeringChromatographyStatisticsComposite materialEngineeringPhysicsMass transferOrganic chemistry

Abstract

fetched live from OpenAlex

A comprehensive mathematical model was developed to simulate the absorption of carbon dioxide (CO 2 ) into aqueous solutions of monoethanolamine (MEA) in a packed column containing Sulzer DX structured packing. Experimental work was conducted to generate absorption data that were used to verify the model. Simulation results showed that the model predicted the performance of the packed column with reasonable accuracy. The average absolute deviation (AAD) of the model was 28%. Nonlinear regression techniques were used during the formulation of the model to develop a new correlation for predicting the effective surface area ( A e ) of Sulzer DX structured packing. This work has demonstrated the value of such correlations for simulating the absorption performance of different types of packing. Future work will develop similar A e correlations for various types of random and structured packing.

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.

How this classification was reachedexpand

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
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 score0.173
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.043
GPT teacher head0.260
Teacher spread0.216 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations33
Published2006
Admission routes2
Has abstractyes

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