Numerical study of n-pentane separation using adsorption column

Silva, Adriano da; Mariani, Viviana Cocco; Souza, Sabrina da Silva de; Souza, Selene Maria de Arruda Guelli

doi:10.1590/s1516-89132005000400033

Cited by 9 publications

(3 citation statements)

References 7 publications

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“…This model was chosen since it ensures the conservation of the variables involved, at both the elemental and global levels. Many authors have used this method for the discretization of phenomenological equations. ,,, In this study an explicit formulation and a one-dimensional structured mesh to store the discrete points are used. In the computational mesh the colocalized arrangement of variables will be used, where all of the variables are stored in the center of the control volumes.…”

Section: Methodsmentioning

confidence: 99%

Multicomponent Adsorption and Desorption of BTX Compounds Using Coconut Shell Activated Carbon: Experiments, Mathematical Modeling, and Numerical Simulation

Luz

Souza

Luz

et al. 2013

Ind. Eng. Chem. Res.

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A numerical and experimental study of the monocomponent and multicomponent adsorption and desorption of BTX compounds (benzene, toluene, and o-xylene) in a batch reactor and fixed-bed column was carried out in aqueous solution at 23 °C, using coconut shell activated carbon as the adsorbent. The monocomponent Langmuir isotherm model best represented the experimental results (average R 2 = 0.9952) and the multicomponent Langmuir model, using the multicomponent parameters, represented the multicomponent data obtained in a fixed-bed column better than the monocomponent model. The equations which describe the phenomenology were discretized using the Finite Volumes Method with the WUDS and CDS formulations. The results for the monocomponent breakthrough curves obtained through simulation showed good agreement when compared with the experimental data (maximum error of 11.52%). For the monocomponent breakthrough curves the greatest deviation was observed for the compound which had the least affinity for the solid phase (benzene). The best results for the desorption of the BTX compounds from the adsorbent were obtained using ethanol as the desorbent solvent, and the average removal percentages in three cycles of regeneration in the column were 90% for benzene, 82% for toluene, and 78% for o-xylene.

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Section: Methodsmentioning

confidence: 99%

Multicomponent Adsorption and Desorption of BTX Compounds Using Coconut Shell Activated Carbon: Experiments, Mathematical Modeling, and Numerical Simulation

Luz

Souza

Luz

et al. 2013

Ind. Eng. Chem. Res.

View full text Add to dashboard Cite

show abstract

“…These were selected to ensure the conservation of the magnitudes involved both at the elementary and global levels. Numerous authors have used this method for the discretization of this phenomenon. ,− In this study we used the explicit formulation, and the one-dimensional structured mesh for storing discrete points. In the computational mesh, the arrangement used was colocated variables, where all variables are stored in the central control volumes.…”

Section: Methodsmentioning

confidence: 99%

Analysis of Competition between Multicomponent BTX Compounds for the Active Site of Adsorption in a Fixed-Bed Column

Luz

Souza

Luz

et al. 2013

Ind. Eng. Chem. Res.

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An experimental and numerical study of the individual and competitive adsorption of BTX compounds (benzene, toluene, and o-xylene) in aqueous solution was carried out in a fixed-bed column filled with activated carbon. The equations of transport were discretized using the finite volumes method and an algorithm was implemented in the Fortran programming language. The results obtained in all cases showed that o-xylene is the contaminant which is most competitive for the active site of the adsorbent, and over time it is able to desorb the compounds which have a lower affinity and adsorb to the free active sites. The result is that the local concentration of the weakly adsorbed component in the fluid phase is higher and surpasses the dimensionless concentration. This finding appeared to be related to the Biot number. As the Biot number increased the rate of competitive adsorption decreased, and the form of the breakthrough curves is flat with a lower breakpoint. This is due to the low intraparticle resistance and also the reduced contact time required to reach saturation.

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“…Computational fluid dynamics methodology can be used to accomplish this goal. This methodology is currently one of the best-established numerical tools in the field of biomechanical engineering (Silva et al 2005) and has been used with success in the computational analysis of the fluid flow around human structures (Marinho et al 2010a). Hence, the purpose of this study was to analyse the effect of wearing different swimsuits on swimmer's passive drag using the computational fluid dynamics methodology.…”

Section: Introductionmentioning

confidence: 99%