| Literature DB >> 34073707 |
Yaoke Shi1, Zhiwen Wang1,2,3, Xianjun Du1,2,3,4, Bin Gong1, Veeriah Jegatheesan4, Izaz Ul Haq1.
Abstract
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.Entities:
Keywords: artificial neural network; fouling prediction; mathematical model; membrane bioreactor
Year: 2021 PMID: 34073707 DOI: 10.3390/membranes11060381
Source DB: PubMed Journal: Membranes (Basel) ISSN: 2077-0375