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Enregistrement W2899536201

Development of a reactor-heat exchanger of monolith type for three-phase hydrogenation reactions: proof of concept and modelling strategy

2017· preprint· en· W2899536201 sur OpenAlexaff
Freddy-Libardo Durán Martínez, Carine Julcour‐Lebigue, Faı̈çal Larachi, Pierre Alphonse, Anne‐Marie Billet

Notice bibliographique

RevueOpen Archive Toulouse Archive Ouverte (University of Toulouse) · 2017
Typepreprint
Langueen
DomaineEngineering
ThématiqueCatalysis and Hydrodesulfurization Studies
Établissements canadiensUniversité Laval
Organismes subventionnairesnon disponible
Mots-clésMonolithCatalysisMaterials scienceChemical engineeringMicroreactorAutoclaveReaction rateHeat exchangerCoatingIsothermal processChemical kineticsChemistryKineticsComposite materialThermodynamicsOrganic chemistryMetallurgy
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

This study aimed at developing an innovative catalytic reactor inspired from monolith technology and equipped with in situ heat removal system. To illustrate the approach, the total hydrogenation of a bio-sourced olefin, alpha-pinene, was chosen as a model reaction. Preliminary thermal calculations proved the proposed reactor-heat exchanger configuration to be uniform in temperature, so that its behavior could be described through that of a single isothermal channel. The developed methodology then included the elaboration of the catalytic coating, the investigation of the reaction kinetics, the activity assessment of the catalytic capillary tube at pilot scale and the scale-up of the monolith reactor through multiscale and multiphysics modelling. 
\nFirst part of the work was dedicated to the catalytic tests, operated in a batch stirred autoclave reactor using both small coated platelets and powdered catalyst. Catalyst formulation and synthesis method were varied, leading to an efficient Pd/Al2O3 coating: it yielded a well adherent deposit of 5-10 µm thickness on aluminum alloy processed by selective laser melting and its initial activity exceeded that of a commercial egg-shell catalyst by more than one order of magnitude due to high metal dispersion (Pd nanoparticles of ca. 1 nm). The intrinsic kinetics of the reaction was investigated using the catalyst in powdered form: an overall activation energy of about 40 kJ/mol was obtained, and a Langmuir-Hinshelwood rate law with surface reaction as rate-determining step adequally described complex reaction orders with respect to alpha-pinene and hydrogen.
\n \t This selected catalyst was then coated on a series of jacketed aluminium tubes of 2 mm internal diameter and 40 cm total height. Their activity was assessed on a continuous hydrogenation set-up operating in the Taylor flow regime at 10-20 bar and 100-160°C. The capillary reactor was modelled through a “Unit Cell” approach(gas bubble surrounded by a liquid film and separated by two liquid half-slugs) accounting for hydrodynamics, gas-liquid and liquid-solid mass transfer and complex reaction kinetics. Numerical simulation of Unit Cell hydrodynamics was first thoroughly questioned, by examining the merits of simplifying hypotheses regarding the bubble shape to be considered, as well as the equations and boundary conditions to be solved. It served as a support for the transient calculation of the reactant concentrations, that mimicked the progression of the Unit Cell along the reactor. In addition to the effects of operating parameters on pinene conversion, those of gas consumption along the reactor (hydrogen being here the limiting reactant), "initial" saturation conditions of the liquid and catalyst activity were analyzed thanks to the numerical model. It was also used to evaluate a more direct reactor sizing tool, based on plug flow behavior and overall exchange coefficients. The latter were calculated either from existing correlations or from the numerical simulations, by evaluating the separate contributions of different parts of the bubble surface (film and caps) to gas-liquid mass transfer and the concentration gradients near the reactor wall.
\nFinally, the behavior of the entire monolith could be reproduced from this model by combining, in a mixing module at the reactor outlet, the liquid outflows of channels whose individual flow rates matched the fluid distribution measured on a cold mock-up of the reactor-heat exchanger.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Simulation ou modélisation · Signal consensuel: Simulation ou modélisation
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,456
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0010,001
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,068
Tête enseignante GPT0,273
Écart entre enseignants0,205 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSimulation ou modélisation
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2017
Routes d'admission1
Résumé présentoui

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