CFD modelling and experimental validation of pressure drop and flow profile in a novel structured catalytic reactor packing

Calis, H.P.A.; Nijenhuis, John; Paikert, B.; Dautzenberg, Frits M.; Bleek, C.M. van den

doi:10.1016/s0009-2509(00)00400-0

Cited by 270 publications

(114 citation statements)

References 5 publications

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“…The fi rst term on the right-hand side of these equations describes the input of the molecular transport. The quantity, stands for the external force exerted on the fl uid and to simulate the fl ow inside the porous structure for a given i th fl ow direction was given by equation (14) (15) (16) In the laminar fl ow modelling inertial losses may be omitted and the factor C 2 is not required.…”

Section: The Methods Of Modellingmentioning

confidence: 99%

“…The study of particle-to-fl uid heat transfer under creeping fl ow in a 3D cubic array of spheres 13 can be considered as one of the earlier applications in this fi eld. The full-bed models with spheres were studied to obtain the heat transfer modeling parameters such as the wall Nusselt numbers 14 and detailed fl ow/temperature profi les were obtained 15 with validation by experimental data 16 . Furthermore, particle-to-fl uid mass 17 and heat transfer were covered with experimental verifi cation 18 .…”

Section: Introductionmentioning

confidence: 99%

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Modelling of heat transfer in a packed bed column

Pianko‐Oprych

2011

Polish Journal of Chemical Technology

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The CFD modelling of heat transfer in the packed bed column in the laminar and turbulent fl ow regimes has been presented. Three numerical grids with different densities were generated for the packed bed column. The modelling was performed with the use of the Porous Media Model for treating the fl ow inside a porous structure. The standard k- model along with the logarithmic wall functions for the turbulent fl ow range was used. The infl uence of the mesh size on the accuracy of the fl uid fl ow was studied. Both radial and axial direction temperature distributions have been compared with the experimental data 1 and the values calculated from a 2DADPF model. A good agreement between the experimental and the predicted values of the pressure drop, temperature distributions and heat transfer coeffi cient was obtained.

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Section: The Methods Of Modellingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Modelling of heat transfer in a packed bed column

Pianko‐Oprych

2011

Polish Journal of Chemical Technology

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“…by a direct numerical simulation (DNS). Even though the governing equations are relatively simple for laminar flows, this usually can only be applied for small and periodic regions of the reactor due to the huge number of computational cells needed to resolve all existing boundary layers [97][98][99][100][101][102][103]. Dixon et al took into account the actual structure of the catalytic fixed bed [104][105][106][107].…”

Section: Complex Flows Structures: Catalytic Fixed Bed Reactorsmentioning

confidence: 99%

Modeling of the Interactions Between Catalytic Surfaces and Gas-Phase

Deutschmann

2014

Catal Lett

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The catalytic surface interacts with the gasphase by a variety of chemical and physical processes. Hence, optimization of design and operation conditions of catalytic reactors do not only require the understanding of the catalytic reaction sequence but also its coupling with mass and heat transport and potential homogeneous reactions. The chemical, thermal, and mass-transport interactions between the catalytic surface and the gas-phase are discussed in terms of the individual and combined interactions. The state-of-the-art modelling of reactive flows and its coupling with the catalytic surface is summarized. The interactions are illustrated by a number of examples such as reforming of hydrocarbons, catalytic combustion, exhaust-gas after-treatment, each focusing on a special aspect of catalyst-gas interactions. The potentials and limitations of the numerical simulations will be discussed including experimental techniques for model validation.

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“…Time and locally resolved profiles provide a more stringent test for model evaluation. Useful data arise from the experimental resolution of local velocity profiles by laser Doppler anemometry/velocimetry (LDA, LDV) [15,66,67] and of spatial and temporal species profiles by in situ, non-invasive methods such as Raman and laser induced fluorescence (LIF) spectroscopy. For instance, an optically accessible catalytic channel reactor can be used to evaluate models for heterogeneous and homogeneous chemistry as well as transport by the simultaneous detection of stable species by Raman measurements and OH radicals by Planar laser-induced fluorescence (PLIF) [68,69] .…”

Section: Model Evaluationmentioning

confidence: 99%

“…Meanwhile it is possible to simulate complex geometries of packings without simplifications [67,[125][126][127][128][129][130] . Even though the governing equations are relatively simple for laminar flows (Section 6.6.1), this approach can only be applied for small and periodic regions of the reactor due to the huge number of computational cells.…”

Section: Fixed Bed Reactorsmentioning

confidence: 99%

Computational Fluid Dynamics Simulation of Catalytic Reactors

Deutschmann

2008

Handbook of Heterogeneous Catalysis

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Catalytic reactors are generally characterized by the complex interaction of various physical and chemical processes. Monolithic reactors can serve as example, in which partial oxidation and reforming of hydrocarbons, combustion of natural gas, and the reduction of pollutant emissions from automobiles are frequently carried out. Figure 1 illustrates the physics and chemistry in a catalytic combustion monolith that glows at a temperature of about 1300 K due to the exothermic oxidation reactions. In each channel of the monolith, the transport of momentum, energy, and chemical species occurs not only in flow (axial) direction, but also in radial direction. The reactants diffuse to the inner channel wall, which is coated with the catalytic material, where the gaseous species adsorb and react on the surface. The products and intermediates desorb and diffuse back into the bulk flow. Due to the high temperatures, the chemical species may also react homogeneously in the gas phase. In catalytic reactors, the catalyst material is often dispersed in porous structures like washcoats or pellets. Mass transport in the fluid phase and chemical reactions are then superimposed by diffusion of the species to the active catalytic centers in the pores. The temperature distribution depends on the interaction of heat convection and conduction in the fluid, heat release due to chemical reactions, heat transport in the solid material, and thermal radiation. If the feed conditions vary in time and space and/or heat transfer occurs between the reactor and the ambience, a non-uniform temperature distribution over the entire monolith will result, and the behavior will differ from channel to channel.Today, the challenge in catalysis is not only the development of new catalysts to synthesize a desired product, but also the understanding of the interaction of the catalyst with the surrounding reactive flow field. Sometimes, the exploitation of these interactions can lead to

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CFD modelling and experimental validation of pressure drop and flow profile in a novel structured catalytic reactor packing

Cited by 270 publications

References 5 publications

Modelling of heat transfer in a packed bed column

Modelling of heat transfer in a packed bed column

Modeling of the Interactions Between Catalytic Surfaces and Gas-Phase

Computational Fluid Dynamics Simulation of Catalytic Reactors

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