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Communication Dans Un Congrès Année : 2019

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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Dates et versions

hal-02609234 , version 1 (16-05-2020)

Identifiants

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Elodie Suard, Yannick Fayolle, Sabrina Guerin, Hazaël Jones, S. Guillaume, et al.. Statistical modelling of a semi-industrial scale membrane bioreactor using fuzzy inference methods. 9th International Water Association (IWA) Membrane Technology Conference & Exhibition for Water and Wastewater Treatment and Reuse IWA-MTC, Jun 2019, Toulouse, France. pp.2. ⟨hal-02609234⟩
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