Recent Advances in the Prediction of Fouling in Membrane Bioreactors
Compared to the traditional activated sludge process, the membrane bioreactor (MBR) has several advantages such as the production of high-quality effluent, generation of low excess sludge, smaller footprint requirements, and ease of automatic control of processes. The MBR has a broader prospect of i...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-05-01
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| Series: | Membranes |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2077-0375/11/6/381 |
| _version_ | 1797532940638355456 |
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| author | Yaoke Shi Zhiwen Wang Xianjun Du Bin Gong Veeriah Jegatheesan Izaz Ul Haq |
| author_facet | Yaoke Shi Zhiwen Wang Xianjun Du Bin Gong Veeriah Jegatheesan Izaz Ul Haq |
| author_sort | Yaoke Shi |
| collection | DOAJ |
| description | Compared to the traditional activated sludge process, the membrane bioreactor (MBR) has several advantages such as the production of high-quality effluent, generation of low excess sludge, smaller footprint requirements, and ease of automatic control of processes. The MBR has a broader prospect of its applications in wastewater treatment and reuse. However, membrane fouling is the biggest obstacle for its wider application. This paper reviews the techniques available to predict fouling in MBR, discusses the problems associated with predicting fouling status using artificial neural networks and mathematical models, summarizes the current state of fouling prediction techniques, and looks into the trends in their development. |
| first_indexed | 2024-03-10T11:07:30Z |
| format | Article |
| id | doaj.art-8dfbd9e242e44e9eb5dbaea70b626aba |
| institution | Directory Open Access Journal |
| issn | 2077-0375 |
| language | English |
| last_indexed | 2024-03-10T11:07:30Z |
| publishDate | 2021-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Membranes |
| spelling | doaj.art-8dfbd9e242e44e9eb5dbaea70b626aba2023-11-21T21:03:59ZengMDPI AGMembranes2077-03752021-05-0111638110.3390/membranes11060381Recent Advances in the Prediction of Fouling in Membrane BioreactorsYaoke Shi0Zhiwen Wang1Xianjun Du2Bin Gong3Veeriah Jegatheesan4Izaz Ul Haq5Department of Automation, College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, ChinaDepartment of Automation, College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, ChinaDepartment of Automation, College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, ChinaDepartment of Automation, College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, ChinaSchool of Engineering, RMIT University, Melbourne 3000, AustraliaDepartment of Automation, College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, ChinaCompared to the traditional activated sludge process, the membrane bioreactor (MBR) has several advantages such as the production of high-quality effluent, generation of low excess sludge, smaller footprint requirements, and ease of automatic control of processes. The MBR has a broader prospect of its applications in wastewater treatment and reuse. However, membrane fouling is the biggest obstacle for its wider application. This paper reviews the techniques available to predict fouling in MBR, discusses the problems associated with predicting fouling status using artificial neural networks and mathematical models, summarizes the current state of fouling prediction techniques, and looks into the trends in their development.https://www.mdpi.com/2077-0375/11/6/381artificial neural networkmathematical modelmembrane bioreactorfouling prediction |
| spellingShingle | Yaoke Shi Zhiwen Wang Xianjun Du Bin Gong Veeriah Jegatheesan Izaz Ul Haq Recent Advances in the Prediction of Fouling in Membrane Bioreactors Membranes artificial neural network mathematical model membrane bioreactor fouling prediction |
| title | Recent Advances in the Prediction of Fouling in Membrane Bioreactors |
| title_full | Recent Advances in the Prediction of Fouling in Membrane Bioreactors |
| title_fullStr | Recent Advances in the Prediction of Fouling in Membrane Bioreactors |
| title_full_unstemmed | Recent Advances in the Prediction of Fouling in Membrane Bioreactors |
| title_short | Recent Advances in the Prediction of Fouling in Membrane Bioreactors |
| title_sort | recent advances in the prediction of fouling in membrane bioreactors |
| topic | artificial neural network mathematical model membrane bioreactor fouling prediction |
| url | https://www.mdpi.com/2077-0375/11/6/381 |
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