Search results for "membrane modelling"

showing 2 items of 2 documents

Sensitivity and uncertainty analysis of an integrated ASM2d MBR model for wastewater treatment

2018

Abstract An integrated membrane bioreactor (MBR) model was previously proposed and tested. The model provides a comprehensive and detailed description of the nitrogen biological removal processes with respect to up-to-date literature. This paper presents a sensitivity and uncertainty analysis aimed at identifying the key factors affecting the variability of the model predictions. The Standardized Regression Coefficients (SRC) method was adopted for the sensitivity analysis. The uncertainty analysis was employed by running Monte Carlo simulations by varying only the value of the key factors affecting the model outputs. The sensitivity analysis combined with the uncertainty analysis applied h…

Membrane foulingDenitrificationGeneral Chemical Engineering0208 environmental biotechnologyMonte Carlo method02 engineering and technology010501 environmental sciencesMembrane bioreactor01 natural sciencesIndustrial and Manufacturing EngineeringASMLinear regressionEnvironmental ChemistryChemical Engineering (all)Uncertainty analysis0105 earth and related environmental sciencesSettore ICAR/03 - Ingegneria Sanitaria-AmbientaleChemistry (all)General ChemistryMembrane modelling020801 environmental engineeringKey factorsModel uncertaintyEnvironmental scienceSewage treatmentNitrificationBiochemical engineeringChemical Engineering Journal
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A new integrated MBR model for wastewater treatment: sensitivity and uncertainty analysis

2017

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 obta…

Settore ICAR/03 - Ingegneria Sanitaria-Ambientalemembrane foulingmodel uncertaintymembrane modelling
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