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好氧浸没式膜生物反应器中膜污染的新型实用数学模型。

New and practical mathematical model of membrane fouling in an aerobic submerged membrane bioreactor.

机构信息

School of Civil and Environmental Engineering, University of Technology Sydney, Sydney, NSW 2007, Australia; Department of Civil Engineering, Chittagong University of Engineering and Technology, Chittagong 4349, Bangladesh.

School of Civil and Environmental Engineering, University of Technology Sydney, Sydney, NSW 2007, Australia.

出版信息

Bioresour Technol. 2017 Aug;238:86-94. doi: 10.1016/j.biortech.2017.04.006. Epub 2017 Apr 4.

DOI:10.1016/j.biortech.2017.04.006
PMID:28432953
Abstract

This study aimed to develop a practical semi-empirical mathematical model of membrane fouling that accounts for cake formation on the membrane and its pore blocking as the major processes of membrane fouling. In the developed model, the concentration of mixed liquor suspended solid is used as a lumped parameter to describe the formation of cake layer including the biofilm. The new model considers the combined effect of aeration and backwash on the foulants' detachment from the membrane. New exponential coefficients are also included in the model to describe the exponential increase of transmembrane pressure that typically occurs after the initial stage of an MBR operation. The model was validated using experimental data obtained from a lab-scale aerobic sponge-submerged membrane bioreactor (MBR), and the simulation of the model agreed well with the experimental findings.

摘要

本研究旨在开发一种实用的半经验数学模型,用于描述膜污染过程,其中包括膜表面滤饼的形成和滤孔堵塞。在开发的模型中,混合液悬浮固体浓度被用作一个集中参数,以描述包括生物膜在内的滤饼层的形成。新模型考虑了曝气和反冲洗对膜上污染物脱落的综合影响。该模型还包含了新的指数系数,用于描述通常在 MBR 运行初始阶段之后跨膜压力的指数增加。该模型使用从实验室规模好氧海绵浸没式膜生物反应器 (MBR) 获得的实验数据进行了验证,模型的模拟结果与实验结果吻合较好。

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引用本文的文献

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Membranes (Basel). 2023 Jul 24;13(7):685. doi: 10.3390/membranes13070685.
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Prolonging the Life Span of Membrane in Submerged MBR by the Application of Different Anti-Biofouling Techniques.应用不同抗生物污染技术延长浸没式膜生物反应器中膜的寿命
Membranes (Basel). 2023 Feb 9;13(2):217. doi: 10.3390/membranes13020217.
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Recent Advances in the Prediction of Fouling in Membrane Bioreactors.膜生物反应器中污垢预测的最新进展
Membranes (Basel). 2021 May 24;11(6):381. doi: 10.3390/membranes11060381.
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Prediction of membrane fouling using artificial neural networks for wastewater treated by membrane bioreactor technologies: bottlenecks and possibilities.采用人工神经网络预测膜生物反应器技术处理废水的膜污染:瓶颈与可能性。
Environ Sci Pollut Res Int. 2017 Oct;24(29):22885-22913. doi: 10.1007/s11356-017-0046-7. Epub 2017 Sep 4.