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Record W2335256765 · doi:10.1021/ie402114k

Biosyngas Production in an Integrated Aqueous-Phase Glycerol Reforming/Chemical Looping Combustion Process

2013· article· en· W2335256765 on OpenAlexaff
Ion Iliuta, Maria C. Iliuta

Bibliographic record

VenueIndustrial & Engineering Chemistry Research · 2013
Typearticle
Languageen
FieldEngineering
TopicChemical Looping and Thermochemical Processes
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsChemical looping combustionEndothermic processExothermic reactionChemical engineeringChemistryCombustionChemical reactionAqueous solutionChemical equilibriumSteam reformingHydrogen productionOrganic chemistryCatalysisAdsorption

Abstract

fetched live from OpenAlex

Glycerol valorization with CO 2 capture by chemical looping combustion (CLC) in an integrated enhanced thermal efficiency process involving aqueous-phase glycerol reforming and chemical looping combustion processes was proposed and analyzed numerically. The process interconnects a two-bed reactor system involving a chemical looping fuel moving-bed reactor and a glycerol reforming gas–liquid–solid fixed-bed reactor with a chemical looping air moving-bed reactor. The heat for endothermic glycerol reforming and chemical looping reduction reactions is provided by exothermic reactions in the chemical looping air reactor and transferred to the chemical looping fuel reactor through oxygen carrier particles circulation. The behavior of the integrated system was analyzed through simulation via a two-scale, non-isothermal, unsteady-state model accounting for detailed gas/gas–liquid dynamics whereupon were tied CLC/aqueous-phase glycerol reforming kinetics, thermodynamics, thermal effects, and variable gas flow rate due to chemical/physical contractions. The integrated process intends to minimize the abundant glycerol byproduct streams via an energy efficient technology that undertakes inherent CO 2 capture by chemical looping combustion.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
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 score0.034
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0000.000
Research integrity0.0010.002
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 head0.063
GPT teacher head0.334
Teacher spread0.271 · 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

Citations11
Published2013
Admission routes1
Has abstractyes

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