Prediction and Identification of Membrane Fouling Mechanism in a Membrane Bioreactor Using a Combined Mechanistic Model

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• 作者：Minjeong Kim ; B. Sankararao ; Seungchul Lee ; ChangKyoo Yoo
• 刊名：Industrial & Engineering Chemistry Research
• 出版年：2013
• 出版时间：December 4, 2013
• 年：2013
• 卷：52
• 期：48
• 页码：17198-17205
• 全文大小：400K
• 年卷期：v.52,no.48(December 4, 2013)
• ISSN：1520-5045

文摘

Membrane fouling phenomenon in the membrane bioreactor (MBR) process is too complex and cannot be described by a single mechanistic fouling model. To describe the complex and combined phenomena of different fouling mechanisms in the MBR process, a combined fouling model developed by considering several mechanistic fouling models is necessary. Therefore, in this paper, a combined mechanistic fouling model is proposed by combining four constant-flow rate blocking mechanisms. The values of root-mean-square errors are used to compare the prediction accuracies of the combined and single mechanistic fouling models for two data sets taken from a pilot-scale MBR plant. The combined mechanistic model shows better prediction capability, because it reflects the combined effect of several fouling mechanisms. In addition, to identify the most dominant fouling mechanism, multiple regression analysis is applied on the combined mechanistic model. It confirms that, as the MBR operation progressed, the membrane fouling is extensively progressed from the intermediate blocking to cake filtration.