In this study a new integrated membrane bioreactor (MBR) model is proposed. The model is able to describe the main biological processes aimed at the carbon and the nutrients (nitrogen, N and phosphorus, P) removal coupled with the soluble microbial products (SMP) formation/degradation. Furthermore, the model describes the key physical processes and the interconnection between SMP and membrane fouling. The model was calibrated by adopting data measured during the monitoring of a University Cape Town (UCT) MBR pilot plant. A sensitivity analysis allowed the reduction of the number of model FACTORs to be calibrated from 122 to 45. A good correlation between measured and simulated data was obtained for the calibrated model (the efficiency of the calibrated model was 0.56). The detailed description of the nitrogen transformation bioprocesses (nitrification/denitrification) allowed improvement of the model accuracy - a narrow uncertainty band width was obtained for N related model outputs. Globally, 90% of measured data lay inside the uncertainty bands.

Mannina, G., Cosenza, A., Viviani, G., Ekama, G. (2017). A new integrated MBR model for wastewater treatment: sensitivity and uncertainty analysis. In 8th IWA Specialist Conference on
Membrane Technology for Water and Wastewater Treatment (pp. 1-8).

A new integrated MBR model for wastewater treatment: sensitivity and uncertainty analysis

G. Mannina
;
A. Cosenza;G. Viviani;
2017-01-01

Abstract

In this study a new integrated membrane bioreactor (MBR) model is proposed. The model is able to describe the main biological processes aimed at the carbon and the nutrients (nitrogen, N and phosphorus, P) removal coupled with the soluble microbial products (SMP) formation/degradation. Furthermore, the model describes the key physical processes and the interconnection between SMP and membrane fouling. The model was calibrated by adopting data measured during the monitoring of a University Cape Town (UCT) MBR pilot plant. A sensitivity analysis allowed the reduction of the number of model FACTORs to be calibrated from 122 to 45. A good correlation between measured and simulated data was obtained for the calibrated model (the efficiency of the calibrated model was 0.56). The detailed description of the nitrogen transformation bioprocesses (nitrification/denitrification) allowed improvement of the model accuracy - a narrow uncertainty band width was obtained for N related model outputs. Globally, 90% of measured data lay inside the uncertainty bands.
2017
Mannina, G., Cosenza, A., Viviani, G., Ekama, G. (2017). A new integrated MBR model for wastewater treatment: sensitivity and uncertainty analysis. In 8th IWA Specialist Conference on
Membrane Technology for Water and Wastewater Treatment (pp. 1-8).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/247972
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