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Record W2086649275 · doi:10.1016/j.egypro.2011.02.014

Dynamic Simulation of MEA Absorption Processes for CO2 Capture from Fossil Fuel Power Plant

2011· article· en· W2086649275 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

VenueEnergy Procedia · 2011
Typearticle
Languageen
FieldEngineering
TopicCarbon Dioxide Capture Technologies
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsAbsorption (acoustics)Process (computing)Nonlinear systemPower stationSteady state (chemistry)Power (physics)Dynamic simulationPartial differential equationAbsorption rateAmine gas treatingControl theory (sociology)Computer scienceBiological systemProcess engineeringEngineeringSimulationMaterials scienceChemistryMathematicsThermodynamicsPhysicsEnvironmental engineeringMathematical analysisChromatographyOrganic chemistry

Abstract

fetched live from OpenAlex

A dynamic rate-based amine absorption process model has been developed to predict the dynamic behaviour of CO2 capture process. The proposed mathematical model, comprised of coupled sets of partial differential algebraic equations, includes the nonlinear behaviour, and was solved using gPROMS. The model was validated using steady-state simulations from Aspen and data available in the literature for this process.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.162
Threshold uncertainty score0.690

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.013
GPT teacher head0.197
Teacher spread0.184 · 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