Simulation of CO 2 absorption by solution of ammonium ionic liquid in hollow-fiber contactors

Razavi, Seyed Mohammad Reza; Rezakazemi, Mashallah; Albadarin, Ahmad B.; Shirazian, Saeed

doi:10.1016/j.cep.2016.07.001

Cited by 78 publications

(25 citation statements)

References 64 publications

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“…These advantages help membrane processes find a wide range of applications including food and beverage industries, biotechnology, water filtration and after a while, treating wastewaters containing heavy metals [170][171][172][173][174][175][176]. Membrane processes are used in treating water and wastewater because of the simple separation method [177][178][179]. This simple procedure is shared between different membrane processes with minor differences.…”

Section: Wood Sawdustmentioning

confidence: 99%

Removal of Heavy Metals from Industrial Wastewaters: A Review

et al. 2017

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Heavy metals like arsenic, copper, cadmium, chromium, nickel, zinc, lead, and mercury are major pollutants of fresh water reservoirs because of their toxic, non‐biodegradable, and persistent nature. The industrial growth is the major source of heavy metals introducing such pollutants into different segments of the environment including air, water, soil, and biosphere. Heavy metals are easily absorbed by fishes and vegetables due to their high solubility in the aquatic environments. Hence, they may accumulate in the human body by means of the food chain. Various methods have been developed and used for water and wastewater treatment to decrease heavy metal concentrations. These technologies include membrane filtration, ion‐exchange, adsorption, chemical precipitation, nanotechnology treatments, electrochemical and advanced oxidation processes. In this review, the methods as well as their mechanisms and efficiency are discussed.

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Section: Wood Sawdustmentioning

confidence: 99%

Removal of Heavy Metals from Industrial Wastewaters: A Review

et al. 2017

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“…As seen, the contribution of diffusion is very low compared to the convection which is mainly due to the high velocity of feed solution in the membrane module. Moreover, at the zone near the membrane' surface, the contribution of diffusive mass transfer increases significantly which is because of the low velocity of feed solution near the membrane' wall (no‐slip condition) . It should be noted that in the process of interest, the diffusive mass transfer flux is of great interest because it causes the transport of water molecules toward the membrane.…”

Section: Resultsmentioning

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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“…CFD is a powerful tool to design, analyze, and develop different chemical processes including membrane separation [20][21][22][23][24][25][26], various reactors, and other equipment. Usually, the coupled momentum, heat and mass transfer equations are used for the CFD models [27][28][29][30][31][32].…”

Section: Cfd Modelingmentioning

confidence: 99%

Development of a 3D Hybrid Intelligent‐Mechanistic Model for Simulation of Multiphase Chemical Reactors

Rezakazemi

Shirazian

2018

Chem Eng & Technol

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A novel intelligent‐mechanistic model was developed to understand the behavior of multiphase chemical reactors. Computational fluid dynamics (CFD) and an intelligent algorithm were combined to predict different levels of 3D cylindrical bubble‐column reactors. An adaptive neuro‐fuzzy inference system (ANFIS) was used as the intelligence algorithm, and different ANFIS parameters were evaluated. With about one third of the training data the method can predict the overall behavior of the gas fraction in the reactor. A number of rules significantly influence the accuracy of the ANFIS method. After finding appropriate parameters, the method is applied for prediction of points which are not simulated with CFD, representing ANFIS mesh refinement. Also, bubble‐column reactors without training of exact values of measured data or numerical results can be predicted. Main advantages are time savings and reduction of computational expenses.

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Simulation of CO 2 absorption by solution of ammonium ionic liquid in hollow-fiber contactors

Cited by 78 publications

References 64 publications

Removal of Heavy Metals from Industrial Wastewaters: A Review

Removal of Heavy Metals from Industrial Wastewaters: A Review

Simulation of Nonporous Polymeric Membranes Using CFD for Bioethanol Purification

Development of a 3D Hybrid Intelligent‐Mechanistic Model for Simulation of Multiphase Chemical Reactors

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