Investigation on hydrodynamics and mass transfer in a feed channel of a spiral-wound membrane element using response surface methodology

Mansouri, Nematollah; Moghimi, Mahdi; Taherinejad, Morteza

doi:10.1016/j.cherd.2019.07.006

Cited by 18 publications

(6 citation statements)

References 31 publications

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“…At the time of writing, CFD studies of RO processes have mainly focused on either 2D unsteady state [ 74 , 75 , 76 , 77 , 78 , 79 ] or 3D steady state [ 51 , 54 , 57 , 66 , 80 , 81 , 82 ]. It is worth noting that the ability of 2D and 3D CFD modelling for predicting mass transport and concentration polarisation has been well established in the literature [ 46 , 68 , 74 , 83 ].…”

Section: Existing Cfd Models and Their Challengesmentioning

confidence: 99%

A Review of CFD Modelling and Performance Metrics for Osmotic Membrane Processes

et al. 2020

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Simulation via Computational Fluid Dynamics (CFD) offers a convenient way for visualising hydrodynamics and mass transport in spacer-filled membrane channels, facilitating further developments in spiral wound membrane (SWM) modules for desalination processes. This paper provides a review on the use of CFD modelling for the development of novel spacers used in the SWM modules for three types of osmotic membrane processes: reverse osmosis (RO), forward osmosis (FO) and pressure retarded osmosis (PRO). Currently, the modelling of mass transfer and fouling for complex spacer geometries is still limited. Compared with RO, CFD modelling for PRO is very rare owing to the relative infancy of this osmotically driven membrane process. Despite the rising popularity of multi-scale modelling of osmotic membrane processes, CFD can only be used for predicting process performance in the absence of fouling. This paper also reviews the most common metrics used for evaluating membrane module performance at the small and large scales.

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Section: Existing Cfd Models and Their Challengesmentioning

confidence: 99%

A Review of CFD Modelling and Performance Metrics for Osmotic Membrane Processes

et al. 2020

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“…The result of the consideration of the mentioned publication confirms this statement. In contrast with the previous period, in 2011-2020, it was proposed a large number of novel spacer designs, in particular in many studies the design with the different thicknesses of the filament between the spacer nodes, in particular in works [99,101,102,112,113,118]. Also, it was proposed the sinusoidal spacer design [123] and the design with the screw thread on the filament [107].…”

Section: F15mentioning

confidence: 99%

Simulation of Reverse Osmosis Process: Novel Approaches and Development Trends

Huliienko

Korniyenko

Muzyka

et al. 2022

JES

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Reverse osmosis is an essential technological separation process that has a large number of practical applications. The mathematical simulation is significant for designing and determining the most effective modes of membrane equipment operation and for a deep understanding of the processes in membrane units. This paper is an attempt at systematization and generalizing the results of the investigations dedicated to reverse osmosis simulation, which was published from 2011 to 2020. The main approaches to simulation were analyzed, and the scope of use of each of them was delineated. It was defined that computational fluid dynamics was the most used technique for reverse osmosis simulation; the intensive increase in using of molecular dynamics methods was pointed out. Since these two approaches provide the deepest insight into processes, it is likely that they will further be widely used for reverse osmosis simulations. At the same time, for the simulation of the membrane plant, it is reasonable to use the models that required the simplest solutions methods. The solution-diffusion model appears to be the most effective and flexible for these purposes. Therefore, this model was widely used in considering the period. The practical problems solved using each of the considered approaches were reviewed. Moreover, the software used for the solution of the mathematical models was regarded.

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“…Garg and Joshi used RSM to maximize the recovery rate and salt rejection and minimize energy consumption for the RO process while also studying the relative significance using centre composite design (CCD) [ 24 ]. Mansouri et al coupled the RSM and computation fluid dynamics (CFD) model to investigate the mass transfer and hydrodynamics in a feed channel of spiral wound membrane [ 22 ]. The design points were generated using the Latin hypercube sampling method.…”

Section: Introductionmentioning

confidence: 99%

“…Table 1 summarizes some of the characteristics of ANN models and their performance developed for the membrane-based separation processes. Optimization methods often take a considerable amount of computational time and cost for numerical simulation, whereas RSM reduces the computational cost and performs more efficiently [22]. Rahmanian et al presented a study to maximize the lead removal from aqueous solution for micellar-enhanced ultrafiltration using response surface methodology [23].…”

Section: Introductionmentioning

confidence: 99%

Modeling and Sensitivity Analysis of the Forward Osmosis Process to Predict Membrane Flux Using a Novel Combination of Neural Network and Response Surface Methodology Techniques

2021

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The forward osmosis (FO) process is an emerging technology that has been considered as an alternative to desalination due to its low energy consumption and less severe reversible fouling. Artificial neural networks (ANNs) and response surface methodology (RSM) have become popular for the modeling and optimization of membrane processes. RSM requires the data on a specific experimental design whereas ANN does not. In this work, a combined ANN-RSM approach is presented to predict and optimize the membrane flux for the FO process. The ANN model, developed based on an experimental study, is used to predict the membrane flux for the experimental design in order to create the RSM model for optimization. A Box–Behnken design (BBD) is used to develop a response surface design where the ANN model evaluates the responses. The input variables were osmotic pressure difference, feed solution (FS) velocity, draw solution (DS) velocity, FS temperature, and DS temperature. The R2 obtained for the developed ANN and RSM model are 0.98036 and 0.9408, respectively. The weights of the ANN model and the response surface plots were used to optimize and study the influence of the operating conditions on the membrane flux.

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Investigation on hydrodynamics and mass transfer in a feed channel of a spiral-wound membrane element using response surface methodology

Cited by 18 publications

References 31 publications

A Review of CFD Modelling and Performance Metrics for Osmotic Membrane Processes

A Review of CFD Modelling and Performance Metrics for Osmotic Membrane Processes

Simulation of Reverse Osmosis Process: Novel Approaches and Development Trends

Modeling and Sensitivity Analysis of the Forward Osmosis Process to Predict Membrane Flux Using a Novel Combination of Neural Network and Response Surface Methodology Techniques

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