Design, analysis and validation of a simple dynamic model of a submerged membrane bioreactor

Pimentel, Guilherme Araujo; Wouwer, Alain Vande; Harmand, Jérôme; Rapaport, Alain

doi:10.1016/j.watres.2014.11.043

Cited by 12 publications

(18 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, quantitative analysis is still needed to improve the MBERs performance, and the ODE stereotypes were developed to simulate the system output of MBERs [79]. The model can predict the growth and loss of "cake" layer on the membrane reactor, to indicate the impact of biofouling on the system performance.…”

Section: Applications Of Ordinary Differential Equation Stereotypesmentioning

confidence: 99%

A Review of Modeling Bioelectrochemical Systems: Engineering and Statistical Aspects

et al. 2016

View full text Add to dashboard Cite

Bioelectrochemical systems (BES) are promising technologies to convert organic compounds in wastewater to electrical energy through a series of complex physical-chemical, biological and electrochemical processes. Representative BES such as microbial fuel cells (MFCs) have been studied and advanced for energy recovery. Substantial experimental and modeling efforts have been made for investigating the processes involved in electricity generation toward the improvement of the BES performance for practical applications. However, there are many parameters that will potentially affect these processes, thereby making the optimization of system performance hard to be achieved. Mathematical models, including engineering models and statistical models, are powerful tools to help understand the interactions among the parameters in BES and perform optimization of BES configuration/operation. This review paper aims to introduce and discuss the recent developments of BES modeling from engineering and statistical aspects, including analysis on the model structure, description of application cases and sensitivity analysis of various parameters. It is expected to serves as a compass for integrating the engineering and statistical modeling strategies to improve model accuracy for BES development.

show abstract

Section: Applications Of Ordinary Differential Equation Stereotypesmentioning

confidence: 99%

A Review of Modeling Bioelectrochemical Systems: Engineering and Statistical Aspects

et al. 2016

View full text Add to dashboard Cite

show abstract

“…Being as a stand-alone technology, sMBR models include aeration, cake formation, filtration, fouling, physical, and bioprocess description (Pimentel et al 2015). The total membrane fouling is represented by combining cake layer resistance (R cake ), intrinsic resistance (R m ), and resistance which is caused by total resistance disturbance (δ R ).…”

Section: Membrane Foulingmentioning

confidence: 99%

Development of a dynamic mathematical model for membrane bioelectrochemical reactors with different configurations

2015

Environ Sci Pollut Res

View full text Add to dashboard Cite

Membrane bioelectrochemical reactors (MBERs) integrate membrane filtration into bioelectrochemical systems for sustainable wastewater treatment and recovery of bioenergy and other resource. Mathematical models for MBERs will advance the understanding of this technology towards further development. In the present study, a mathematical model was implemented for predicting current generation, membrane fouling, and organic removal within MBERs. The relative root-mean-square error was used to examine the model fit to the experimental data. It was found that a constant to determine how fast the internal resistance responds to the change of the anodophillic microorganism concentration could have a dominant impact on current generation. Hydraulic cross-flow exhibited a minor effect on membrane fouling unless it was reduced below 0.5 m s −1 . This MBER model encourages further optimization and eventually can be used to guide MBER development.

show abstract

“…The ASM1 was reported to be applied to an aerobic MBR process for actual municipal wastewater treatment [15]. The results from the simulations provided a better understanding of the mechanisms and kinetics of the MBR process including sludge removal [16].…”

Section: Introductionmentioning

confidence: 99%

Mathematical Modeling of Operation Process of Dynamic Membrane Bioreactor

Lin¹,

Zhang²,

Hong³

2016

IJBBB

View full text Add to dashboard Cite

Abstract:The effects of different influent C/N ratios on the removal efficiencies of COD, total nitrogen, ammonia, nitrite and nitrate were investigated in a dynamic membrane bioreactor (DMBR), which was used to treat synthetic domestic wastewater. A simplified activated sludge model(SASM) was proposed, which based on the activated sludge model No.1(ASM1). The results showed the effluent concentrations of COD were less than 50 mg·L -1 in the DMBR. The removal efficiencies of COD were more than 85% in the different C/N ratios. The effluent concentrations of total nitrogen and ammonia were gradually increased as the ratios of C/N decreased. When the ratio of C/N was more than 6.75, the removal efficiencies of total nitrogen and ammonia were more than 50% and 60%, respectively. The SASM was feasible for DMBR simulation and the simulated values of nitrite and nitrate almost equal to the experiment values.

show abstract

Design, analysis and validation of a simple dynamic model of a submerged membrane bioreactor

Cited by 12 publications

References 28 publications

A Review of Modeling Bioelectrochemical Systems: Engineering and Statistical Aspects

A Review of Modeling Bioelectrochemical Systems: Engineering and Statistical Aspects

Development of a dynamic mathematical model for membrane bioelectrochemical reactors with different configurations

Mathematical Modeling of Operation Process of Dynamic Membrane Bioreactor

Contact Info

Product

Resources

About