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Frontiers of Environmental Science & Engineering

ISSN 2095-2201

ISSN 2095-221X(Online)

CN 10-1013/X

Postal Subscription Code 80-973

2018 Impact Factor: 3.883

Front. Environ. Sci. Eng.    2022, Vol. 16 Issue (8) : 110    https://doi.org/10.1007/s11783-022-1531-x
RESEARCH ARTICLE
Enhanced cross-flow filtration with flat-sheet ceramic membranes by titanium-based coagulation for membrane fouling control
Xiaoman Liu1, Chang Tian2, Yanxia Zhao1(), Weiying Xu1, Dehua Dong3, Kaimin Shih4, Tao Yan1, Wen Song1
1. School of Water Conservancy and Environment, University of Jinan, Jinan 250022, China
2. School of Environmental Science and Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China
3. School of Material Science and Engineering, University of Jinan, Jinan 250022, China
4. Department of Civil Engineering, The University of Hong Kong, Hong Kong 999077, China
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Abstract

• Ceramic membrane filtration showed high performance for surface water treatment.

• PTC pre-coagulation could enhance ceramic membrane filtration performance.

• Ceramic membrane fouling was investigated by four varied mathematical models.

• PTC pre-coagulation was high-effective for ceramic membrane fouling control.

Application of ceramic membrane (CM) with outstanding characteristics, such as high flux and chemical-resistance, is inevitably restricted by membrane fouling. Coagulation was an economical and effective technology for membrane fouling control. This study investigated the filtration performance of ceramic membrane enhanced by the emerging titanium-based coagulant (polytitanium chloride, PTC). Particular attention was paid to the simulation of ceramic membrane fouling using four widely used mathematical models. Results show that filtration of the PTC-coagulated effluent using flat-sheet ceramic membrane achieved the removal of organic matter up to 78.0%. Permeate flux of ceramic membrane filtration reached 600 L/(m2·h), which was 10-fold higher than that observed with conventional polyaluminum chloride (PAC) case. For PTC, fouling of the ceramic membrane was attributed to the formation of cake layer, whereas for PAC, standard filtration/intermediate filtration (blocking of membrane pores) was also a key fouling mechanism. To sum up, cross-flow filtration with flat-sheet ceramic membranes could be significantly enhanced by titanium-based coagulation to produce both high-quality filtrate and high-permeation flux.

Keywords Ceramic membrane      Coagulation      Polytitanium chloride      Membrane fouling     
Corresponding Author(s): Yanxia Zhao   
About author:

Tongcan Cui and Yizhe Hou contributed equally to this work.

Issue Date: 31 December 2021
 Cite this article:   
Xiaoman Liu,Chang Tian,Yanxia Zhao, et al. Enhanced cross-flow filtration with flat-sheet ceramic membranes by titanium-based coagulation for membrane fouling control[J]. Front. Environ. Sci. Eng., 2022, 16(8): 110.
 URL:  
https://academic.hep.com.cn/fese/EN/10.1007/s11783-022-1531-x
https://academic.hep.com.cn/fese/EN/Y2022/V16/I8/110
Models Calculation formulas Evaluation parameter Parameter characterization for membrane fouling mechanism Nomenclature References
Model 1 J/J0t J/J0 The value of J/J0 represents the degree of membrane fouling.
The decreasing trend of J/J0 indicates developing rate of membrane fouling.
J: permeate flux (L/(m2·h));
J0: initial permeate flux (L/(m2·h));
t: filtration time (h)
He and Vidic, 2016;
Park et al., 2019
Model 2 d2tdV2=a( dtdV)n,
dtdV=1JA,
d2tdV2=1J 3 A2 dJdt,
n n=0, cake filtration (the particles cannot enter the membrane pores and accumulate on the membrane surface to form a permeable cake layer);
n=1, intermediate blocking (the particles settle on previously deposited dirt particles or the unobstructed area of the membrane, similar to complete blockage);
n=1.5, standard blocking (the particles enter and adsorb in the membrane pores, reducing the pore size);
n=2, complete blocking (the particle size is larger than the membrane pore so that it cannot enter the membrane pore and deposit on the membrane surface to block the pore entrance)
t: filtration time (s);
V: accumulated filtration volume (m3);
J: permeate flux (L/(m2·h));
A: effective filtration area (m2);
n: the filtration constant characterizing the filtration mechanism;
a: fouling coefficient
Wang et al., 2017;
Yang et al., 2019
Model 3 tV=1Q 0+ b 1t2,
tV=1b 2(VV f) ,
tV=1Q 0+ b 2V2,
R2 Curve 1: t/Vt, standard law filtration (deposit of particles smaller than the membrane pore size onto the pore walls, reducing the pore size);
Curve 2: t/VV, cake filtration (deposit of particles larger than the membrane pore size onto the membrane surface.)
The higher R2, the more likely the membrane fouling mechanism represented by the fitting line
t: filtration time (s);
V: accumulated filtration volume (m3);
Vf: permeate volume (m3);
Q0: initial flux rate (L/h);
b1, b2: filtration constant
Visvanathan and Ben aïm, 1989;
Zhao and Li, 2019
Model 4 1 J'=1+k1V,
lnJ'= k2V,
J ' 1 2=1 k3V 2,
J' =1 k4V,
R2 1/J’V, cake filtration (same as model 2);
lnJ’V, intermediate blocking (same as model 2);
J’1/2V, standard blocking (same as model 2);
J’V, complete blocking (same as model 2)
The higher R2, the more likely the membrane fouling mechanism represented by the fitting line
J’: the normalized flux, ration of J to J0;
V: accumulated filtration volume (m3);
k1, k2, k3, k4: fouling coefficient
Huang et al., 2008;
Shen et al., 2010;
Jia et al., 2019
Tab.1  Four membrane filtration models for characterizing ceramic membrane fouling
Fig.1  Performance of coagulation with polytitanium chloride (PTC) and polyaluminum chloride (PAC): (a) residual turbidity; (b) UV254 removal; (c) removal of dissolved organic carbon (DOC); (d) zeta potential of coagulated flocs; (e) effluent pH after coagulation.
Fig.2  Three-dimensional excitation emission fluorescence spectra of (a) raw water, (b) the PTC coagulated effluent, and (c) the PAC coagulated effluent (optimum dosage of 50 mg Ti/L and 40 mg Al/L were selected for PTC and PAC coagulation, respectively).
Fig.3  Comparison of effluent quality and permeate flux between organic membrane and ceramic membrane after coagulation/membrane filtration: (a) permeate flux, (b) residual turbidity, and (c) removal of dissolved organic carbon (DOC) (PTC as coagulant with dosage of 50 mg/L; RW-OM: raw water filtration by organic membrane; RW-CM: raw water filtration by ceramic membrane; CE-OM: filtration of coagulated effluent by organic membrane; CE-CM: filtration of coagulated effluent by ceramic membrane).
Fig.4  Comparison of membrane fouling mechanism between organic membrane and ceramic membrane by means of mode 1, 2, and 3: (a) model 1: normalized flux (J/J0) vs. filtration period; (b) model 2: fitting curves of lgd2t/dV2 vs. lgdt/dV; (c) model 3: fitting curves of t/V vs. T and t/V vs. V; (d) correlation parameters (R2) of fitting curves for model 3 (PTC as coagulant with dosage of 50 mg/L; RW-OM: raw water filtration by organic membrane; RW-CM: raw water filtration by ceramic membrane; CE-OM: filtration of coagulated effluent by organic membrane; CE-CM: filtration of coagulated effluent by ceramic membrane).
Fig.5  Fitting curves and correlation parameters (R2) of model 4 (1/J’ vs. V, lnJ’ vs. V, J’1/2 vs. V, and J’ vs. V) for four systems at different time segments: (a and b) RW-OM: raw water filtration by organic membrane; (c and d) RW-CM: raw water filtration by ceramic membrane; (e and f) CE-OM: filtration of coagulated effluent by organic membrane; (g and h) CE-CM: filtration of coagulated effluent by ceramic membrane. (PTC as coagulant with dosage of 50 mg/L).
Fig.6  Comparison of effluent quality after coagulation/ceramic membrane filtration: (a) permeate flux, (b) residual turbidity, and (c) removal of dissolved organic carbon (DOC) (optimum dosage of 50 mg Ti/L and 40 mg Al/L were selected for PTC and PAC coagulation, respectively).
Fig.7  Comparison of membrane fouling mechanism between raw water, PTC coagulated effluent (CE) , and PAC coagulated effluent by means of mode 1, 2, and 3: (a) model 1: normalized flux (J/J0) vs. filtration period; (b) model 2: fitting curves of lgd2t/dV2 vs. lgdt/dV; (c) model 3: fitting curves of t/V vs. T and t/V vs. V; (d) correlation parameters (R2) of fitting curves for model 3 (optimum dosage of 50 mg Ti/L and 40 mg Al/L were selected for PTC and PAC coagulation, respectively).
Fig.8  Fitting curves and correlation parameters (R2) of model 4 (1/J’ vs. V, lnJ’ vs. V, J1/2 vs. V and J’ vs. V) for raw water, PTC coagulated effluent (CE), and PAC coagulated effluent: ceramic membrane: (a and b) raw water; (c and d) PAC coagulated effluent; (e and f) PTC coagulated effluent (optimum dosage of 50 mg Ti/L and 40 mg Al/L were selected for PTC and PAC coagulation, respectively).
Fig.9  Volume-based (a) and number-based (b) floc size distribution of raw water, PAC coagulated effluent, and PTC coagulated effluent under optimum dosage (optimum dosage of 50 mg Ti/L and 40 mg Al/L were selected for PTC and PAC coagulation, respectively).
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