CFD Studies of Pressure Drop and Increasing Capacity in MellapakPlus 752.Y Structured Packing

Saleh, Akbarzadeh; Hosseini, Seyyed Hossein; Shojaee, Saeed; Ahmadi, Goodarz

doi:10.1002/ceat.201000557

Cited by 31 publications

(4 citation statements)

References 28 publications

(48 reference statements)

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“…One important part of a CFD simulation is the use of an appropriate turbulence model . In the present work, on the basis of previous work and the CFD model of Khosravi Nikou and Ehsani for simulation of a structured packing, the BSL model (the baseline k –ω model), which is a blend of the k –ω model near the surface and the k –ε model in the outer region, is used for the present simulations. Typically, the relative error between two successive iterations is specified using a convergence criterion of 10 –4 for each scaled residual component.…”

Section: Numerical Simulationmentioning

confidence: 99%

Prediction of the Effective Area in Structured Packings by Computational Fluid Dynamics

Shojaee

Hosseini

Rafati

et al. 2011

Ind. Eng. Chem. Res.

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Careful examination of the correlations for the effective interfacial area of the structured packed columns in the literature reveals considerable discrepancies in the estimated areas and the associated gas velocities. In this study, a volume of fluid multiphase-flow model for two adjacent sheets of a Gempak 2A structured packing was used to investigate the effect of gas and liquid velocities on the effective area of the packing sheets. The three-dimensional computational fluid dynamic (CFD) results showed that the gas and liquid flow rates play significant roles in the effective interfacial area of the packed bed. In particular, the effective area increases as the flow rates of both phases increase. The simulation results were compared with the existing correlations for the effective area, and it was found that the Brunazzi model exhibits good agreement with the CFD results in comparison with the existing correlations. Using the CFD model, the minimum flow rate 109.8 m3/m2·h for which the entire surface covered by the liquid phase was determined. The simulation results showed that the CFD can be used as an effective tool to provide information on the details of the gas and liquid flows in complex packing geometries.

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Section: Numerical Simulationmentioning

confidence: 99%

Prediction of the Effective Area in Structured Packings by Computational Fluid Dynamics

Shojaee

Hosseini

Rafati

et al. 2011

Ind. Eng. Chem. Res.

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“…Fernandes et al [47] presented a method to predict the wet pressure drop in the packing. Rafati Saleh et al [48] calculated the wet and dry pressure drops of a kind of commercial packing by means of a computational method. With the aim of improving the accuracy of the findings, these authors scrutinized and compared different turbulence models.…”

Section: Introductionmentioning

confidence: 99%

Computational Fluid Dynamics Characterization of High‐Capacity Structured Packing

et al. 2020

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The novel wire gauze structured packing, PACK‐860, was characterized by means of numerical methods. The main features of PACK‐860 such as height equivalent to a theoretical plate (HETP) and dry/wet pressure drop were evaluated. The flow structure in this packing was described by numerical simulation. To estimate the amount of HETP and dry/wet pressure drop, three‐dimensional computational fluid dynamics (3D CFD) modeling with the Eulerian‐Eulerian multiphase approach was applied. The average relative errors between the results obtained from CFD simulation and experimental findings for mass transfer efficiency and wet and dry pressure drop were assessed. Numerical observations were found to agree well with the empirical results, proving the reliability of CFD simulations for modeling separation processes.

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“…Therefore, they directly depend on the pore‐scale physics and they can be evaluated from pore‐scale simulations over a representative elementary volume of the packing. If this multiscale analysis is now well‐established for the evaluation of the gas permeability tensor, the prediction of

{boldK}_{β_{1}}

and

{boldK}_{β_{2}}

from local simulations is more complicated as it requires the knowledge of the exact location of the gas–liquid interface. However, according to some assumptions, this local two‐phase flow problem can be highly simplified and has some helpful analytical solutions.…”

Section: Flow Characterization At Large Scalementioning

confidence: 99%

“…In dry operating conditions, the flow at the larger scale is commonly modeled using a Darcy–Forchheimer law . The effective parameters that appear in this law, also called Ergun's coefficients, are evaluated from either lab‐scale and industrial‐scale measurements which relate pressure drops to mass flow rates in the columns or using turbulent pore‐scale simulations . Although this modeling at the macroscale of the turbulent single gas flow in columns equipped with structured packings provides good predictions, there is still no consensus regarding the macroscale model that should be used for simulating gas–liquid flows in such devices.…”

Section: Introductionmentioning

confidence: 99%

Gas–liquid flow modeling in columns equipped with structured packing

et al. 2014

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International audienceThis paper deals with the modeling of gas-liquid flow in distillation columns equipped with structured packing. The devices are seen as bi-structured porous media and a macro-scale model is proposed taking into account this specific geometry. In this model, the two liquid films, one-per-sheet, are treated separately and are allowed to exchange matter at the vicinity of the contact points between corrugated sheets. The model emphasizes mechanisms that lead to the liquid radial dispersion effects: a main part comes from the geometry itself, another part is due to the capillary effects. A particular attention is paid to model these phenomena from a macro-scale point of view. Finally, the simulation results are confronted to tomography imaging within a lab-scale column and show a qualitative good agreement of the liquid distribution

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CFD Studies of Pressure Drop and Increasing Capacity in MellapakPlus 752.Y Structured Packing

Cited by 31 publications

References 28 publications

Prediction of the Effective Area in Structured Packings by Computational Fluid Dynamics

Prediction of the Effective Area in Structured Packings by Computational Fluid Dynamics

Computational Fluid Dynamics Characterization of High‐Capacity Structured Packing

Gas–liquid flow modeling in columns equipped with structured packing

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