Supervisory control system to enhance partial nitrification in an activated sludge reactor

Munoz, C; Rojas D.; Candia O.; Azócar L.; Bornhardt, C; Antileo, C.

Abstract

This work proposes a supervisory control system based on an optimization layer to calculate the optimum pH and dissolved oxygen (DO) set-points for the SISO controller, maintaining the process at stable partial nitrification. Takagi-Sugeno fuzzy multimodels were implemented to estimate ammonium degradation and nitrite accumulation from on-line DO and pH values, and updated using off-line measurements. An activated sludge reactor was operated successfully over 115 consecutive days with the supervisory control system, achieving ammonium degradation and nitrite accumulation values higher than 95% and 80%, respectively. The on-line estimates of the multimodels showed a prediction error of less than 7% at steady state operation, and reflected the tendencies shown in experiment to be caused by changes in pH value and DO concentration. Crown Copyright © 2008.

Más información

Título según WOS: Supervisory control system to enhance partial nitrification in an activated sludge reactor
Título según SCOPUS: Supervisory control system to enhance partial nitrification in an activated sludge reactor
Título de la Revista: CHEMICAL ENGINEERING JOURNAL
Volumen: 145
Número: 3
Editorial: ELSEVIER SCIENCE SA
Fecha de publicación: 2009
Página de inicio: 453
Página final: 460
Idioma: English
URL: http://linkinghub.elsevier.com/retrieve/pii/S1385894708002465
DOI:

10.1016/j.cej.2008.04.032

Notas: ISI, SCOPUS