A modified fouling index (MFI40) and fouling predicting approach for ultrafiltration of secondary effluents
Author(s) -
Bin Cai,
I. Baudin,
How Yong Ng
Publication year - 2018
Publication title -
journal of water reuse and desalination
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.548
H-Index - 16
eISSN - 2408-9370
pISSN - 2220-1319
DOI - 10.2166/wrd.2018.020
Subject(s) - fouling , boiler feedwater , membrane fouling , ultrafiltration (renal) , turbidity , effluent , repeatability , chemistry , pulp and paper industry , environmental engineering , chromatography , environmental science , membrane , waste management , engineering , boiler (water heating) , biochemistry , oceanography , geology
Fouling indices for evaluating fouling propensity of secondary effluents (SEF) as feed of ultrafiltration (UF) systems are important parameters for the design and operation of the UF process. However, limited fouling indices have been developed and applied for UF feedwater. This study (i) established a modified UF fouling index (MFI40) by raising operating pressure from 30 psi in a traditional MFI test to 40 psi. Standard deviation of MFI40 tests was lower than that of traditional MFI by 68.6%, indicating better stability and repeatability of MFI40. It (ii) investigated the combined effects of UF feedwater characteristics on MFI40. Biopolymers and turbidity played a dominant and secondary positive role in the MFI40, respectively. The effect of conductivity on MFI40 changed from positive to negative with a turbidity increase. It also (iii) validated the MFI40 in both laboratory- and pilot-scale UF membrane units, and UF fouling rates were linearly correlated to the MFI40 of their feeds, and (iv) explored the practical use of the MFI40. It was applied to determine the maximum allowable UF feedwater quality (MFI40max), which could be used to select an appropriate pre-treatment process. A fouling predicting model was established based on the feedwater MFI40 and the operating flux, with an average predicting error of 26.8%.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom