DocumentCode :
2875062
Title :
The Study on Optimized the Clarification Membrane Filtration Process of Drinking Water Treatment
Author :
Wu, Yun ; Zhang, Hongwei ; Wang, Jie ; Wang, Liang
Author_Institution :
Sch. of Environ. Sci. & Eng., Tianjin Univ., Tianjin, China
Volume :
2
fYear :
2009
fDate :
16-18 Oct. 2009
Firstpage :
880
Lastpage :
884
Abstract :
In this paper, the relationship of membrane fouling rates and the operation conditions of Clarification Membrane process had been investigated with Response Surface Methodology (RSM). Base on the data of operation conditions experiment, including: filtration flux, backwashing pressure (the ratio of the pressure of backwashing/filtration), backwashing rate (the ratio of backwashing time/filtration time) and membrane fouling rates, a quadratic polynomial regression model had been established. The model indicates that there is a minimum membrane fouling rates at 0.214 Kpa/d, when the operation conditions are filter time 30 min, filtration flux 33.16L/m2·h, backwashing pressure 156.39%, backwashing rates 4.14%. It was verified by the actual experiment that the absolute error between the actual membrane fouling rates at the optimal operation conditions and the prediction of the model is 3.27%, indicating that the model is valid.
Keywords :
filtration; membranes; polynomials; regression analysis; response surface methodology; water treatment; backwashing pressure; clarification membrane filtration process; drinking water treatment; filtration flux; membrane fouling rates; quadratic polynomial regression model; response surface methodology; Biomembranes; Coagulation; Costs; Filtration; Polynomials; Predictive models; Production; Response surface methodology; Testing; Water pollution; Clarification-Membrane filtration; Response Surface Methodology (RSM); drinking water; membrane fouling; operation conditions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Energy and Environment Technology, 2009. ICEET '09. International Conference on
Conference_Location :
Guilin, Guangxi
Print_ISBN :
978-0-7695-3819-8
Type :
conf
DOI :
10.1109/ICEET.2009.451
Filename :
5366898
Link To Document :
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