Flux decline in crossflow microfiltration and ultrafiltration: mechanisms and modeling of membrane fouling

Song, Lianfa

doi:10.1016/s0376-7388(97)00263-9

Cited by 311 publications

(173 citation statements)

References 11 publications

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“…The model that considers that ultrafiltration is a dynamic process that changes from a non equilibrium condition to an equilibrium condition, in which the cake layer thickness remains constant [2], can also be linearized in terms of TMP 2 /J P 2 as a function of time.…”

Section: Theorymentioning

confidence: 99%

Analysis of an ultrafiltration model: Influence of operational conditions

et al. 2012

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Abstract:Ultrafiltration is a widely used technique to remove hazardous pollutants from wastewaters. Membrane dynamic ultrafiltration (UF) models have been widely with time. For severe fouling conditions, the linearity found in the initial membrane fouling resistance with TMP was also the highest. A linear correlation between the initial membrane fouling resistance and the temperature was also found for the experimental conditions tested. However, it was found that, above a certain temperature, increasing temperature did not result in a noticeable reduction of the gel layer resistance. Linear models for steady state permeate flux and r c /c g as a function of TMP and CFV were also obtained.

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Section: Theorymentioning

confidence: 99%

Analysis of an ultrafiltration model: Influence of operational conditions

et al. 2012

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“…However, some issues, such as severe membrane fouling, low water recovery rate, intensive-energy consumption and relatively low quality of product water, occur frequently during these processes. [10,13,17,23,27] FO has been recognized as a promising membrane process because of the following characteristics: (1) no requirement of hydraulic pressure; (2) a relatively high water recovery rate; (3) low membrane fouling propensity due to the absence of hydraulic pressure; (4) environmental friendliness. Given these merits, FO technology has been applied to a wide range of fields, such as seawater/brackish water desalination, [4,24,28] wastewater treatment, [8,[29][30][31] and many other areas.…”

Section: Introductionmentioning

confidence: 99%

“…[5][6][7][8][9] Membrane technology has shown a great potential in water treatment in view of the advantages of no phase change, strong adaptability, relatively simple operation and low cost. [5,[10][11][12] A range of pressure-driven membrane processes, such as microfiltration (MF), [13][14][15][16] ultrafiltration (UF), [13,17,18] nanofiltration (NF), [19][20][21] and reverse osmosis (RO) [22][23][24][25][26] have been extensively used for clean water production through either wastewater reuse or brackish water/ seawater desalination. However, some issues, such as severe membrane fouling, low water recovery rate, intensive-energy consumption and relatively low quality of product water, occur frequently during these processes.…”

mentioning

confidence: 99%

Progress in Forward Osmosis Membrane Separation Process

Chen¹,

Xu²,

Ge³

2017

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Forward osmosis (FO) has been extensively investigated and demonstrated its advantages in a range of FO applications over the past decade. However, challenges still remain in terms of the lack of both efficient FO membranes and appropriate draw solutes for practical FO applications. To promote the advancement of FO technology, considerable efforts have been made in exploring novel FO membranes and draw solutes in recent years. This paper will provide a short review on the progress of both FO membranes and draw solutes. First of all, a brief overview on FO principle is given. Then the progress in FO technology related to FO membrane and draw solute is presented with specific examples. Finally, challenges and future directions of FO technology in exploring efficient FO membranes and promising draw solutes are also highlighted. This article may provide new insights into the future development of FO technology and promote practical FO applications.Keywords forward osmosis, draw solution, forward osmosis membrane, forward osmosis application IntroductionFreshwater shortage has been becoming a more and more severe problem globally. [1][2][3][4] To mitigate this problem, various technologies for clean water production have been explored worldwide recently. [5][6][7][8][9] Membrane technology has shown a great potential in water treatment in view of the advantages of no phase change, strong adaptability, relatively simple operation and low cost. [5,[10][11][12] A range of pressure-driven membrane processes, such as microfiltration (MF), [13][14][15][16] ultrafiltration (UF), [13,17,18] nanofiltration (NF), [19][20][21] and reverse osmosis (RO) [22][23][24][25][26] have been extensively used for clean water production through either wastewater reuse or brackish water/ seawater desalination. However, some issues, such as severe membrane fouling, low water recovery rate, intensive-energy consumption and relatively low quality of product water, occur frequently during these processes. [10,13,17,23,27] FO has been recognized as a promising membrane process because of the following characteristics: (1) no requirement of hydraulic pressure; (2) a relatively high water recovery rate; (3) low membrane fouling propensity due to the absence of hydraulic pressure; (4) environmental friendliness. Given these merits, FO technology has been applied to a wide range of fields, such as seawater/brackish water desalination, [4,24,28] wastewater treatment, [8,[29][30][31] and many other areas. [32][33][34][35][36] Although FO exhibits a great potential in alleviating the issues caused by freshwater shortage, challenges, such as relatively low water permeability, high reverse solute diffusion, severe concentration polarization (CP), and membrane fouling, are still present in FO applications. [37][38][39] To eliminate these problems, exploration of appropriate semi-permeable FO membrane and draw solute is urgently needed. Great efforts have been made in the development of FO technology in recent years, and a wide range of powerful FO membra...

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“…Many full-scale facilities are running with immersed microfiltration or ultrafiltration membranes mainly because membranes can offer higher efficiency for liquid-solid separation (Visvanathan et al, 2000). However, the effectiveness of membrane separation is greatly affected by foulingthe decline in permeate flux due to accumulation of colloidal matter, organic molecules, sparingly soluble inorganic compounds and microorganisms on membrane surfaces or in membrane pores (Defrance et al, 2000;Song, 1998;Zhang and Song, 2000). Fouling is an unavoidable deleterious phenomenon in membrane filtration and makes membrane technology less competitive in many applications.…”

Section: Introductionmentioning

confidence: 99%

“…Among these methods, theoretical models have been established using numerous factors, which include feedwater characteristics (such as types of foulants, pH and ionic compositions), membrane properties (such as surface roughness, charge properties and hydrophobicity) and operational conditions (such as transmembrane pressure, cross-flow velocity and temperature) (Li and Elimelech, 2004;Song, 1998). Theoretical models can produce highly detailed and complex descriptions of membrane fouling; however, they are computationally intensive and demand a high-level modeling expertise (Bowen et al, 1998).…”

Section: Introductionmentioning

confidence: 99%

Modeling of a permeate flux of cross-flow membrane filtration of colloidal suspensions: A wavelet network approach

Wei

Zeng

Huang

et al. 2009

Int. J. Environ. Sci. Technol.

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ABSTRACT:Although traditional artificial neural networks have been an attractive topic in modeling membrane filtration, lower efficiency by trial-and-error constructing and random initializing methods often accompanies neural networks. To improve traditional neural networks, the present research used the wavelet network, a special feedforward neural network with a single hidden layer supported by the wavelet theory. Prediction performance and efficiency of the proposed network were examined with a published experimental dataset of cross-flow membrane filtration. The dataset was divided into two parts: 62 samples for training data and 329 samples for testing data. Various combinations of transmembrane pressure, filtration time, ionic strength and zeta potential were used as inputs of the wavelet network so as to predict the permeate flux. Through the orthogonal least square alogorithm, an initial network with 12 hidden neurons was obtained which offered a normalized square root of mean square of 0.103 for the training data. The initial network led to a wavelet network model after training procedures with fast convergence within 30 epochs. Futher the wavelet network model accurately depicted the positive effects of either transmembrane pressure or zeta potential on permeate flux. The wavelet network also offered accurate predictions for the testing data, 96.4 % of which deviated the measured data within the ± 10 % relative error range. Moreover, comparisons indicated the wavelet network model produced better predictability than the back-forward backpropagation neural network and the multiple regression models. Thus the wavelet network approach could be employed successfully in modeling dynamic permeate flux in cross-flow membrane filtration.

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Flux decline in crossflow microfiltration and ultrafiltration: mechanisms and modeling of membrane fouling

Cited by 311 publications

References 11 publications

Analysis of an ultrafiltration model: Influence of operational conditions

Analysis of an ultrafiltration model: Influence of operational conditions

Progress in Forward Osmosis Membrane Separation Process

Modeling of a permeate flux of cross-flow membrane filtration of colloidal suspensions: A wavelet network approach

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