Title
On the concept of a supervisory, fuzzy set logic based, advanced filtration control in membrane bioreactors On the concept of a supervisory, fuzzy set logic based, advanced filtration control in membrane bioreactors
Author
Faculty/Department
Faculty of Sciences. Bioscience Engineering
Publication type
article
Publication
,
Subject
Chemistry
Biology
Engineering sciences. Technology
Source (journal)
Desalination and water treatment. - Place of publication unknown
Volume/pages
29(2011) :1/3 , p. 119-127
ISSN
1944-3994
ISI
000291314400014
Carrier
E
Target language
English (eng)
Full text (Publishers DOI)
Affiliation
University of Antwerp
Abstract
The filtration process within a membrane bioreactor (MBR) is mostly controlled in a classic way through typical set-points such as aeration flow rate, filtration duration, backwash frequency or relaxation duration. The values of these filtration set-points result from experience and remain often unchanged during the installations operational lifetime. Filtration is dictated considerably by membrane fouling phenomena. The fouling potential of the mixed liquor however can significantly fluctuate, even daily, from changing influent characteristics. Fixed set-point values thus may represent sub-optimal filtration conditions. Consequently, a supervising advanced control system, being able to continuously adapt the set-points values would be beneficial regarding the MBR filtration process optimization. Such optimization could reduce the corresponding MBR energy consumption, e.g. linked to the filtration related membrane aeration. An Advanced Control System (ACS) based on Fuzzy Set Logic (FSL) is introduced here, enabling to supervise an existing classic membrane filtration control system. Such ACS is able to daily (or even more frequent) optimize the set-points of the underlying classic control system, from the input of various sensor and process parameter values. The theoretical background and practical implementation of the FSL based ACS concept is explained.
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