Nonlinear Model Predictive Control of a Wastewater Treatment Process Fitted with a Submerged Membrane Bioreactor

Abstract : Submerged membrane bioreactors are increasingly applied for wastewater treament but requires a tight control of the membrane fouling so as to ensure safe and efficient operation. The objective of this paper is to design a nonlinear model predictive control to minimize the irreversible resistance while keeping the trans-membrane pressure, which is a good indicator of membrane fouling, at an acceptable level. To this end, the manipulated variables are the permeate flow and the air scouring flow, which allows the material layer formed on the membrane (in short the “cake”) to be detached. The NMPC structure is tested in simulation considering a detailed simulator as the reference process, and a reduced-order model as the predictor. The results show that the process can be regulated until the irreversible resistance takes the main role in the fouling resistance. When this state is reached, a chemical cleaning is required, or a larger trans-membrane pressure has to be accommodated.
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Communication dans un congrès
International Symposium on Advanced Control of Chemical Processes (ADCHEM 2015), Jun 2015, Whistler, British Columbia, Canada. pp.1247-1252, 〈http://adchem2015.org/〉
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Contributeur : Alain Rapaport <>
Soumis le : jeudi 21 mai 2015 - 20:25:20
Dernière modification le : samedi 27 janvier 2018 - 01:31:37
Document(s) archivé(s) le : mardi 15 septembre 2015 - 06:41:40

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Guilherme Araujo Pimentel, Alain Rapaport, Alain Vande Wouwer. Nonlinear Model Predictive Control of a Wastewater Treatment Process Fitted with a Submerged Membrane Bioreactor. International Symposium on Advanced Control of Chemical Processes (ADCHEM 2015), Jun 2015, Whistler, British Columbia, Canada. pp.1247-1252, 〈http://adchem2015.org/〉. 〈hal-01154418〉

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