Modeling and simulation of bubble column reactors

Schlüter, Stefan; Steiff, Artur; Weinspach, Paul‐Michael

doi:10.1016/0255-2701(92)85004-l

Cited by 38 publications

(21 citation statements)

References 36 publications

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“…Eine Berücksichtigung komplexer Stofftransportphänomene und/oder Reaktionsmechanismen ist dadurch in der Regel einfach realisierbar [3]. In der Industrie werden deswegen oft sogenannte Shortcut-Modelle verwendet.…”

Section: Introductionunclassified

“…Wie in Abb. 1 [3]. Zu dieser Modellgruppe gehören: Dispersionsmodell [4], recirculation flow model [5], energy balance method [6], circulation cell model [7], cylindrical vortex model [8], bubble class model [9], tank in series model [4], cell model with backflow [10], slug cell model [11], enhanced cell model [12] und fluid-mechanical model [13].…”

Section: Introductionmentioning

confidence: 99%

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Simulation of Bubble Columns with a Compartment Model Approach

Abel

Schlusemann

Grünewald

2013

Chemie Ingenieur Technik

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Blasensäulenreaktoren sind zwar mechanisch einfache Apparate, die in ihnen vorherrschenden Gas-Flüssig-Interaktionen sind aber bedeutend komplexer. Die Auslegung anhand des axialen Dispersionsmodells hat entscheidende Nachteile in der Beschreibung der komplexen Wechselwirkungen zwischen Gas-und Flüssigphase. Obwohl die numerische Strömungsmechanik in den letzten Jahren, auch aufgrund steigender Rechnerkapazitäten und -leistungen, sehr vielversprechende Fortschritte gemacht hat, ist die Berechnung des Betriebsverhaltens industrieller Blasensäulenreaktoren nicht verifizierbar. Als Alternative bieten sich eine Unterteilung des Reaktors in Teilbilanzräume an. Diese als Kompartment-Modellierung bekannte Beschreibungsmethode wird im Rahmen des Beitrags erläutert und diskutiert.Bubble column reactors are mechanical simple apparatuses, but the interactions between the liquid and gas phases have proven to be more complex. The description with an axial dispersion model has significantly disadvantages describing those physical phenomena. Although numerical fluid dynamics promising progress, not only backed by the increase in computational power and capacities, these calculations are not yet verifiable for industry sized reactors. An alternative approach is to divide the reactor in smaller material balance envelopes. This approach, known as compartment modeling, is explained and discussed in this article. Abbildung 4. Vergleich zwischen CBC-(links) und LBL-Agglomeration (rechts) [27]. Abbildung 5. Exemplarische Ergebnisse einer CBC-Agglomeration auf Grundlage einer Strömungssimulation (links: axiale Flüssigkeitsgeschwindigkeit (von schwarz nach weiß), rechts: schwarze Linien stellen die Kompartmentgrenzen dar).

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Section: Introductionunclassified

Section: Introductionmentioning

confidence: 99%

Simulation of Bubble Columns with a Compartment Model Approach

Abel

Schlusemann

Grünewald

2013

Chemie Ingenieur Technik

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“…Numerous investigators in the past have developed conceptual models of SBCR for FTS 3–14. Given the fairly small particle sizes, the suspension of solids in liquid was often modeled as a single pseudo‐homogeneous slurry phase.…”

Section: Introductionmentioning

confidence: 99%

Multicomponent multicompartment model for Fischer–Tropsch SCBR

et al. 2007

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in Wiley InterScience (www.interscience.wiley.com).The Fischer-Tropsch synthesis (FTS) in which a syngas is converted into a wide range of paraffins, olefins, and oxygenates, has found renewed interest in the context of indirect conversion of natural gas. Slurry bubble column reactors (SBCR) rank high among the candidate reactors for FTS. Despite their simple construction, their design are still uncertain because of the fragmented understanding about FTS chemistry, the reactor fluid mechanics, heat and mass transfer, the thermodynamics, and how these phenomena are intermingled in the reactor. A multicomponent/compartment model was developed to account for a detailed hydrodynamics where upon were tied the Fischer-Tropsch and water-gas-shift reactions, the thermodynamics and thermal effects, the variable gas flow-rate because of chemical/physical contraction, and gas and slurry (re)circulation and percompartment back-mixing. A Cobased mechanistic kinetics accounting for olefin re-adsorption was used to describe paraffin and olefin formation and vapor-liquid equilibria were evaluated using a Peng-Robinson/Marano-Holder model. The model was used to analyze the effects of catalyst loading, temperature, gas velocity, water-gas shift, and gas contraction on the performance of SBCRs. The simulated behavior for commercial-scale SBCR was discussed in the light of a sensitivity analysis of the model outputs with regard to the hydrodynamic, the heat and mass transfer parameters.Assessment of the effect of the choice of turbulence model, and dispersive versus advective transport of catalyst.

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“…The efficiency of these reactors is mostly described by the yield and selectivity of the products and side products, which can be measured globally and already predicted by various empirical correlations [1][2][3] in ratio to the energy costs of the production process.…”

Section: Introductionmentioning

confidence: 99%

Test System for the Investigation of Reactive Taylor Bubbles

et al. 2017

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Detailed analysis of reactive multiphase flows is still challenging due to the complex linked transport processes. Until now, there is no reliable and reproducible experimental method for gas‐liquid flows, which enables the local measurement of dissolved species concentrations of educts, products, and side products at well‐defined and reproducible hydrodynamic conditions. A vertically arranged glass channel is used to capture gas bubbles with well‐defined wake structures. The hydrodynamic conditions in the wake can be predicted by dimensionless numbers and adapted for most industrially relevant systems. An experimental apparatus is presented for the investigation of the interdependency between hydrodynamics, mass transfer, and chemical reaction. The applicability of the setup is demonstrated with a chemical test system that shows a strong color shift from colorless to blue when the gas‐liquid reaction takes place.

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Modeling and simulation of bubble column reactors

Cited by 38 publications

References 36 publications

Simulation of Bubble Columns with a Compartment Model Approach

Simulation of Bubble Columns with a Compartment Model Approach

Multicomponent multicompartment model for Fischer–Tropsch SCBR

Test System for the Investigation of Reactive Taylor Bubbles

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