Modelling the production and degradation of soluble microbial products (SMP) in membrane bioreactors (MBR)

Jiang, Tao; Myngheer, Silvie; Pauw, Dirk J.W. De; Spanjers, Henri; Nopens, Ingmar; Kennedy, Maria D.; Amy, Gary L.; Vanrolleghem, Peter A.

doi:10.1016/j.watres.2008.09.037

Cited by 156 publications

(90 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The physical sub-model describes the key processes occurring during membrane physical separation, including membrane fouling (involving 6 model factors and 2 state variables). Regarding, the biological sub-models they are based both on the ASM2d and they include the SMP formation/degradation processes (Jiang et al 2008;Henze et al 2000). Furthermore, both models take into account CO 2 as state variable according to the continuity-based model interface as proposed by Vanrolleghem et al (2005).…”

Section: Mathematical Models Descriptionmentioning

confidence: 99%

Comparison of Two Mathematical Models for Greenhouse Gas Emission from Membrane Bioreactors

Mannina

Cosenza

2017

Lecture Notes in Civil Engineering

View full text Add to dashboard Cite

Abstract. In this study two mathematical models (Model I and Model II), able to predict the nitrous oxide (N 2 O) and carbon dioxide (CO 2 ) emission from an University Cape Town (UCT) -membrane bioreactor (MBR) plant, have been compared. Model I considers the N 2 O production only during the denitrification. Model II takes into account the two ammonia-oxidizing bacteria (AOB) formation pathways for N 2 O. Both models were calibrated adopting real data. Results highlight that Model II had a better capability of reproducing the measured data especially in terms of N 2 O model outputs. Indeed, the average efficiency related to the N 2 O model outputs was equal to 0.3 and 0.38 for Model I and Model II respectively.

show abstract

Section: Mathematical Models Descriptionmentioning

confidence: 99%

Comparison of Two Mathematical Models for Greenhouse Gas Emission from Membrane Bioreactors

Mannina

Cosenza

2017

Lecture Notes in Civil Engineering

View full text Add to dashboard Cite

show abstract

“…In particular, the integrated MBR model is able to simulate the phosphorus removal process, often neglected in the modelling literature [7]. The model was developed during previous studies [10,24]; in the following, the model structure is briefly presented.…”

Section: Model Description and Case Studymentioning

confidence: 99%

“…kinetics, stoichiometry and fractionation coefficients). For the variables, process and parameter descriptions, the reader is referred to the literature [10,24]. The biological sub-model simulates the biological nutrient removal processes occurring in a UCT-MBR system and the SMPs formation/degradation.…”

Section: Model Description and Case Studymentioning

confidence: 99%

See 1 more Smart Citation

Sensitivity and uncertainty analysis of an integrated membrane bioreactor model

Mannina

Cosenza

Viviani

2016

Desalination and Water Treatment

View full text Add to dashboard Cite

A B S T R A C TSensitivity and uncertainty analysis, although can be of primarily importance in mathematical modelling approaches, are scarcely applied in the field of membrane bioreactor (MBR). An integrated mathematical model for MBR is applied with the final aim to pin down sources of uncertainty in MBR modelling. The uncertainty analysis has been performed combining global sensitivity analysis (GSA) with the generalized likelihood uncertainty estimation (GLUE). The model and methodology were applied to a University Cape Town pilot plant. Results show that the complexity of the modelled processes and the propagation effect from the influent to the effluent increase the uncertainty of the model prediction. It was found that the uncertainty of nitrogen and phosphorus model outputs increases from the first reactor-section plant to the last. Results show also that the GSA-GLUE methodology is a valid tool for uncertainty assessment for MBR modelling. Furthermore, the GSA-GLUE allows to identify the most critical processes/plant sections and the key sources of uncertainty where attention should be paid in view of model predictions improvement.

show abstract

“…The need to widen the model boundaries and to include other process units led to the development of several other models such as ADM1 for anaerobic treatment (Batstone et al 2002), fixed biomass (Rittmann & McCarty 1980;Wanner & Gujer 1986;Horn et al 2003) and membrane bioreactors (MBRs; Lu et al 2001;Jiang et al 2008). Nitrite as an intermediate compound is included in several models (Sin et al 2008).…”

Section: Introductionmentioning

confidence: 99%

New framework for standardized notation in wastewater treatment modelling

Corominas

Rieger

Takács³

et al. 2010

Water Science and Technology

View full text Add to dashboard Cite

Many unit process models are available in the field of wastewater treatment. All of these models use their own notation, causing problems for documentation, implementation and connection of different models (using different sets of state variables). The main goal of this paper is to propose a new notational framework which allows unique and systematic naming of state variables and parameters of biokinetic models in the wastewater treatment field. The symbols are based on one main letter that gives a general description of the state variable or parameter and several subscript levels that provide greater specification. Only those levels that make the name unique within the model context are needed in creating the symbol. The paper describes specific problems encountered with the currently used notation, presents the proposed framework and provides additional practical examples. The overall result is a framework that can be used in whole plant modelling, which consists of different fields such as activated sludge, anaerobic digestion, sidestream treatment, membrane bioreactors, metabolic approaches, fate of micropollutants and biofilm processes. The main objective of this consensus building paper is to establish a consistent set of rules that can be applied to existing and most importantly, future models. Applying the proposed notation should make it easier for everyone active in the wastewater treatment field to read, write and review documents describing modelling projects.

show abstract

Modelling the production and degradation of soluble microbial products (SMP) in membrane bioreactors (MBR)

Cited by 156 publications

References 45 publications

Comparison of Two Mathematical Models for Greenhouse Gas Emission from Membrane Bioreactors

Comparison of Two Mathematical Models for Greenhouse Gas Emission from Membrane Bioreactors

Sensitivity and uncertainty analysis of an integrated membrane bioreactor model

New framework for standardized notation in wastewater treatment modelling

Contact Info

Product

Resources

About