Statistical modelling of a semi-industrial scale membrane bioreactor using fuzzy inference methods
Modélisation statistique d'un pilote membranaire semi-industriel à l'aide de la logique floue
Résumé
Membrane bioreactors (MBR) have been recently used in large scale wastewater treatment plants. Modelling the functioning of such processes could help the development of adequate control strategies. In this study, a fuzzy inference method is used to i) simulate a 4,5 months campaign on a semi-industrial MBR treating rejection water from sludge treatment, ii) discriminate the influence of operating parameters on membrane fouling. The results show not only a good representation of the permeability evolution, but also coupled influences of sludge properties and operating parameters on fouling.
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