TY - JOUR
T1 - Variation and prediction of membrane fouling index under various feed water characteristics
AU - Park, Chanhyuk
AU - Kim, Hana
AU - Hong, Seungkwan
AU - Choi, Suing Il
N1 - Funding Information:
This study is supported by Saehan Inc., RO/NF membrane manufacturer in Korea.
PY - 2006/11/1
Y1 - 2006/11/1
N2 - Membrane fouling index such as silt density index (SDI) and modified fouling index (MFI) is an important parameter in design of the integrated RO (reverse osmosis) and NF (nanofiltration) membrane processes for drinking water treatment. In this study, the effect of various foulant characteristics on membrane fouling index was investigated systematically. As expected, the fouling index (both SDI and MFI) increased with increasing particle concentration. When organic matter was the primary cause of membrane fouling, the MFI based on cake filtration theory was not accurately measured due to internal fouling such as pore adsorption. The fouling index was determined mainly by particle characteristics when both particulate and organic foulants coexisted in the feed water. This observation was attributed to lessening of organic pore adsorption by particle cake layer formed on the membrane surface. Prediction of MFI by using Happel cell model for the hydraulic resistance of the particle cake layer was also performed. The effect of primary model parameters including particle size (ap) and particle concentration (C0), were accurately assessed without any fitting parameters, and the MFI values predicted by the model exhibited very good agreement with the experimental results.
AB - Membrane fouling index such as silt density index (SDI) and modified fouling index (MFI) is an important parameter in design of the integrated RO (reverse osmosis) and NF (nanofiltration) membrane processes for drinking water treatment. In this study, the effect of various foulant characteristics on membrane fouling index was investigated systematically. As expected, the fouling index (both SDI and MFI) increased with increasing particle concentration. When organic matter was the primary cause of membrane fouling, the MFI based on cake filtration theory was not accurately measured due to internal fouling such as pore adsorption. The fouling index was determined mainly by particle characteristics when both particulate and organic foulants coexisted in the feed water. This observation was attributed to lessening of organic pore adsorption by particle cake layer formed on the membrane surface. Prediction of MFI by using Happel cell model for the hydraulic resistance of the particle cake layer was also performed. The effect of primary model parameters including particle size (ap) and particle concentration (C0), were accurately assessed without any fitting parameters, and the MFI values predicted by the model exhibited very good agreement with the experimental results.
KW - Happel cell model
KW - Membrane fouling index
KW - Modified fouling index (MFI)
KW - Particle fouling
KW - Silt density index (SDI)
UR - http://www.scopus.com/inward/record.url?scp=33748967081&partnerID=8YFLogxK
U2 - 10.1016/j.memsci.2006.07.036
DO - 10.1016/j.memsci.2006.07.036
M3 - Article
AN - SCOPUS:33748967081
SN - 0376-7388
VL - 284
SP - 248
EP - 254
JO - Journal of Membrane Science
JF - Journal of Membrane Science
IS - 1-2
ER -