Journal of Computer Chemistry, Japan
Online ISSN : 1347-3824
Print ISSN : 1347-1767
ISSN-L : 1347-1767
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Prediction of Membrane Resistance inNewly Constructed Membrane Bioreactor
Shingo OMATAHiromasa KANEKOKimito FUNATSU
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2016 Volume 15 Issue 2 Pages 23-31

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Abstract

Membrane bioreactors (MBRs) are a system integrating biological degradation of waste products and solid-liquid separation by membrane filtration. One of the obstacles to wide application of MBRs is membrane fouling, which is a phenomenon whereby particles deposit on the membrane surface or in the pores. Fouling decreases membrane permeability and increases operating costs. In order to reduce fouling, chemical cleaning must be performed at an appropriate time. However, chemicals used in cleaning are costly and preparation time is needed to do chemical cleaning. Hence, a fouling prediction model is required. Although statistical models have been proposed in previous studies, it is difficult to predict fouling in newly constructed MBRs or when operating conditions are changed. We focused on the fact that the fouling mechanism is common in various MBRs and to predict fouling in a certain newly established MBR, we developed a statistical model trained by data measured in other MBRs. Through case studies using data sets measured in real MBRs, it was confirmed that a constructed model using the proposed method could predict fouling more accurately than a model which was trained by data measured in the newly constructed MBR (Figures 4, 5, Table 2).

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© 2016 Society of Computer Chemistry, Japan
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