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Record W2321709744 · doi:10.1021/ie403305d

Evaluation of an Inconel-625 Reactor and its Wall Effects on Ethanol Reforming in Supercritical Water

2014· article· en· W2321709744 on OpenAlexafffund
Tuan Amran Tuan Abdullah, Eric Croiset

Bibliographic record

VenueIndustrial & Engineering Chemistry Research · 2014
Typearticle
Languageen
FieldEngineering
TopicSubcritical and Supercritical Water Processes
Canadian institutionsUniversity of Waterloo
FundersNatural Sciences and Engineering Research Council of CanadaUniversiti Teknologi Malaysia
KeywordsSupercritical fluidEthanolInconel 625ChemistrySupercritical water oxidationInconelSteam reformingChemical engineeringMaterials scienceChromatographyMetallurgyCatalysisHydrogen productionEngineeringOrganic chemistryCorrosion

Abstract

fetched live from OpenAlex

Continuous ethanol reforming in supercritical water was investigated in an Inconel-625 reactor without catalyst addition. Experiments were carried out for different operating conditions: temperatures from 450 to 600 °C, pressures from 225 to 300 bar, ethanol concentrations from 2.5 to 10% wt, and feed flow rates from 0.88 to 2.88 g/min. Higher temperatures increased the conversion and the hydrogen production, but above 575 °C the experiments failed due to excessive tar formation, which plugged the reactor and/or the back pressure regulator. The pressure effect in the range considered here was insignificant. Ethanol dehydrogenation to acetaldehyde was the main reaction pathway, followed by acetaldehyde decomposition to CH 4 and CO. The catalytic effects of the reactor’s wall were studied by varying the reactor’s surface-to-volume ratio ( S / V ) by inserting Inconel wires. The results confirmed the significant catalytic effects of Inconel 625, especially above 525 °C, and also demonstrated that at 550 °C and for an S / V ratio of 3.1 1/mm, conversion up to 96% was achieved without carbon deposition problems. Finally, a kinetic study for the ethanol dehydrogenation was carried out. This kinetic study revealed that ethanol dehydrogenation occurs mostly through wall-catalyzed reactions and that the homogeneous reaction is negligible in the reactor system considered here. Finally, an Arrhenius expression for the rate constant of the wall-catalyzed ethanol dehydrogenation reaction is proposed.

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)0.003
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.105
Threshold uncertainty score0.683

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.004
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 integrity0.0000.001
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 head0.088
GPT teacher head0.334
Teacher spread0.246 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations17
Published2014
Admission routes2
Has abstractyes

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