Computational Simulation for Transport of Priority Organic Pollutants through Nanoporous Membranes

Ghadiri, Mahdi; Darehnaei, Mahdiyar Ghasemi; Sabbaghian, S.; Shirazian, Saeed

doi:10.1002/ceat.201200513

Cited by 45 publications

(12 citation statements)

References 18 publications

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“…The diffusion of water molecules through the nonporous membrane is modeled using diffusion equation. Fick's law of diffusion is used to estimate mass transfer flux which has been extensively used in literature for membrane processes . The diffusion equation to determine the mass transfer of water through the membrane is written as

D_{w - m e m b r a n e} ([], \frac{\partial^{2} C_{w - m e m b r a n e}}{\partial x^{2}} + \frac{\partial^{2} C_{w - m e m b r a n e}}{\partial y^{2}}) = 0

…”

Section: Model Of Processmentioning

confidence: 99%

Simulation of Nonporous Polymeric Membranes Using CFD for Bioethanol Purification

Asadollahzadeh

Raoufi

Rezakazemi

et al. 2018

Macro Theory & Simulations

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A mechanistic model is developed to simulate ethanol purification using membrane technology. In the considered process, a feed solution containing 10 wt% water + 90 wt% ethanol is contacted with a polymeric dense membrane in a pervaporation system. The membrane selectively separates water from solution in order to purify the ethanol. In the development of the model, it is assumed that the water is the main penetrant through the membrane due to the hydrophilicity of membrane material. The mass fraction of water molecules in the feed solution, as well as membrane, is estimated using Maxwell–Stefan approach. The governing equations are then solved using finite element method in order to predict mass fraction, mass transfer flux, and velocity of the solution in the membrane module. The results indicate that the model can predict the formation of concentration and velocity boundary layer in the feed solution near the membrane/feed interface. Moreover, the developed model is robust and reliable in the understanding of membrane separation processes applicable for dehydration of alcohols.

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D_{w - m e m b r a n e} ([], \frac{\partial^{2} C_{w - m e m b r a n e}}{\partial x^{2}} + \frac{\partial^{2} C_{w - m e m b r a n e}}{\partial y^{2}}) = 0

…”

Section: Model Of Processmentioning

confidence: 99%

Simulation of Nonporous Polymeric Membranes Using CFD for Bioethanol Purification

Asadollahzadeh

Raoufi

Rezakazemi

et al. 2018

Macro Theory & Simulations

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“…The finite element method is combined with adaptive meshing and error control using numerical solver of UMFPACK. This solver is well suited for solving stiff and nonstiff nonlinear boundary value problems . A system with the specifications of RAM 4.00 GB (2.98 GB usable) and Intel® Core™ i5CPU M 480 @ 2.67GHz, and 32‐bit operating system was used to solve the model equations.…”

Section: Development Of Modelmentioning

confidence: 99%

Numerical simulation studies on heat and mass transfer using vacuum membrane distillation

et al. 2013

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A general 2D mathematical model was developed to simulate the purification of water from volatile organic compounds (VOCs) via vacuum membrane distillation (VMD) process in hollow fiber membrane contactors. The model was developed for hydrophobic membrane material conditions, taking into consideration axial and radial diffusion in the tube, membrane and compartments of the contactor and was simplified to the two‐dimensional structure with a single porous membrane wall. The simulation has studied the mass and heat transfer of VMD system in the porous media, in which aqueous volatile organic solution was considered as an incompressible and steady fluid. Effect of the downstream pressure on the removal of 1, 1, 1‐trichloroethane (TCA) was studied to validation of simulation results with experimental data that it was obtained from literature. The temperature, Reynolds number, and total mass flux (convective and diffusive) distribution of TCA are determined in the membrane module. POLYM. ENG. SCI., 54:2553–2559, 2014. © 2013 Society of Plastics Engineers

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“…CO 2 can be removed from gas streams by different methods that two most important of them are absorption and membrane separation Fasihi et al, 2012;Shirazian et al, 2012a,b;Rezakazemi et al, 2013a;Ghadiri et al, 2013a;Ashrafizadeh, 2013, 2011;Fadaei et al, 2011). From the mentioned methods, absorption has been established as a well-accepted method at industrial applications (Adewole et al, 2013).…”

Section: Introductionmentioning

confidence: 97%

“…In recent years, many researchers have focused on investigation of different factors affecting HFMCs performance such as different absorbents, various polymers as a membrane, and flow rate of gas and liquid (Fasihi et al, 2012;Ghadiri et al, 2013aGhadiri et al, ,b,c, 2014aGhadiri et al, ,b, 2015Fadaei et al, 2011aFadaei et al, ,b, 2012Miramini et al, 2013;Ghadiri and Ashrafizadeh, 2014;Marjani et al, ,b, 2011aMarjani and Shirazian, 2010,b,c,d,e, 2012a.…”

Section: Introductionmentioning

confidence: 98%

Numerical simulation of CO2 separation from gas mixtures in membrane modules: Effect of chemical absorbent

Razavi

Shirazian

Nazemian

2016

Arabian Journal of Chemistry

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In this study, a mathematical model is proposed for prediction of CO 2 absorption from N 2 /CO 2 mixture by potassium threonate in a hollow-fiber membrane contactor (HFMC). CFD technique using numerical method of finite element was applied to solve the governing equations of model. Effect of different factors on CO 2 absorption was analyzed and for investigation of absorbent type effect, functioning of potassium threonate was compared with diethanolamine (DEA). Axial and radial diffusion can be described with the two dimensional model established in this work. The obtained simulation results were compared with the reported experimental data to ensure accuracy of the model predictions. Comparison of model results with experimental data revealed that the developed model can well predict CO 2 capture by potassium threonate in HFMCs. Increment of absorbent flow rate and concentration eventuate in enhancement of CO 2 absorption. On the other hand, capture of CO 2 will be reduced with increment of gas flow rate. According to the model results, potassium threonate can be considered as a more efficient absorbent as compared with DEA. ª 2015 The Authors. Production and hosting by Elsevier B.V. on behalf of King Saud University. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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Computational Simulation for Transport of Priority Organic Pollutants through Nanoporous Membranes

Cited by 45 publications

References 18 publications

Simulation of Nonporous Polymeric Membranes Using CFD for Bioethanol Purification

Simulation of Nonporous Polymeric Membranes Using CFD for Bioethanol Purification

Numerical simulation studies on heat and mass transfer using vacuum membrane distillation

Numerical simulation of CO2 separation from gas mixtures in membrane modules: Effect of chemical absorbent

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