Development of a dynamic model for effective mitigation of membrane fouling through biogas sparging in submerged anaerobic membrane bioreactors (SAnMBRs)

Olubukola, Akangbe; Gautam, Rajneesh Kumar; Kamilya, Tuhin; Muthukumaran, Shobha; Navaratna, Dimuth

doi:10.1016/j.jenvman.2022.116151

Cited by 9 publications

(5 citation statements)

References 35 publications

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“…One of them is proposed in [ 33 ], where one used a model of SMBR with slow/fast dynamics to develop a nonlinear predictive control. Control of the membrane fouling caused by cake formation in a submerged AnMBR (SAnMBR) was investigated in [ 2 ] using biogas sparging. However, very often, the control strategies are tuned heuristically and use available process actuators: Gas sparging: It consists of injecting bubbles (air for aerobic process or biogas for anaerobic systems) for membrane scouring in order to limit attachment and promote detachment of matter by shear forces.…”

Section: Discussion Open Questions and Perspectives On The Process Co...mentioning

confidence: 99%

“…In other terms, efficient control consists to propose functions

and

depending on the intensity of gas sparging (parameter control). A first simple form of

and

which is already used in the literature is

and

, which represent quantities of

and

detached by shear forces caused by membrane scouring, where

and

depend on the intensity of injected bubbles used to detach fouling [ 2 , 44 , 45 , 46 ]. A higher aeration intensity can have a positive effect on cake layer removal by shear force and thus improves the membrane permeability [ 47 ].…”

Section: Discussion Open Questions and Perspectives On The Process Co...mentioning

confidence: 99%

“…To reach an optimal treatment efficiency, it is crucial to control both the biological and the separation processes. Thus, it is important to model biological dynamics and couple them to a membrane filtration model to predict membrane fouling, which remains, by far, the main drawback of MBR technology [ 1 , 2 , 3 ].…”

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Coupling a Simple and Generic Membrane Fouling Model with Biological Dynamics: Application to the Modeling of an Anaerobic Membrane BioReactor (AnMBR)

Benyahia,

Charfi,

Lesage

et al. 2024

Membranes

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A simple model is developed for membrane fouling, taking into account two main fouling phenomena: cake formation, due to attached solids on the membrane surface, and pore clogging, due to retained compounds inside the pores. The model is coupled with a simple anaerobic digestion model for describing the dynamics of an anaerobic membrane bioreactor (AnMBR). In simulations, we investigate its qualitative behavior: it is shown that the model exhibits satisfying properties in terms of a flux decrease due to membrane fouling. Comparing simulation and experimental data, the model is shown to predict quite well the dynamics of an AnMBR. The simulated flux best fits the experimental flux with a correlation coefficient r2=0.968 for the calibration data set and r2=0.938 for the validation data set. General discussions are given on possible control strategies to limit fouling and optimize the flux production. We show in simulations that these strategies allow one to increase the mean production flux to 33 L/(h·m2),whereas without control, it was 18 L/(h·m2).

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Section: Discussion Open Questions and Perspectives On The Process Co...mentioning

confidence: 99%

“…In other terms, efficient control consists to propose functions

and

depending on the intensity of gas sparging (parameter control). A first simple form of

and

which is already used in the literature is

and

, which represent quantities of

and

detached by shear forces caused by membrane scouring, where

and

Section: Discussion Open Questions and Perspectives On The Process Co...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

See 2 more Smart Citations

Coupling a Simple and Generic Membrane Fouling Model with Biological Dynamics: Application to the Modeling of an Anaerobic Membrane BioReactor (AnMBR)

Benyahia,

Charfi,

Lesage

et al. 2024

Membranes

View full text Add to dashboard Cite

show abstract

“…To reach an optimal treatment efficiency, it is crucial to control both the biological and the separation processes. Thus, it is important to model biological dynamics and to couple them to a membrane filtration model, to predict membrane fouling, which remains, by far, the main drawback of MBR technology [1,2].…”

Section: Coupling a Simple And Generic Membrane Fouling Model With Bi...mentioning

confidence: 99%

Coupling a Simple and Generic Membrane Fouling Model with Biological Dynamics: Application to the Modeling of an Anaerobic Membrane BioReactor (AnMBR)

BENYAHIA,

CHARFI,

LESAGE

et al. 2024

Preprint

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A simple model is developed for membrane fouling, taking into account two main fouling phenomena: cake formation, due to attached solids onto the membrane surface and pores clogging, due to retained compounds inside the pores. The model is coupled with a simple anaerobic digestion model for describing the dynamics of an Anaerobic Membrane BioReactor (AnMBR). In simulations, we investigate its qualitative behavior: it is shown that the model exhibits satisfying properties in terms of flux decrease due to membrane fouling. Comparing simulation and experimental data, the model is shown to predict quite well the dynamics of an AnMBR. The simulated flux best fits the experimental flux with a correlation coefficient r2=0.968 for the calibration data set and r2=0.938 for the validation data set. General discussions are given on possible control strategies to limit fouling and optimize the flux production. We show in simulations that these strategies allow one to increase the mean production flux to 33 L/(h.m2), whereas without control it was 18 L/(h.m2).

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Biomethane recovery performance and microbial community dynamics of a high-biomass submerged AnMBR (HBSAnMBR) treating abattoir wastewater

Gautam,

Vithanage,

et al. 2024

Biochemical Engineering Journal

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Development of a dynamic model for effective mitigation of membrane fouling through biogas sparging in submerged anaerobic membrane bioreactors (SAnMBRs)

Cited by 9 publications

References 35 publications

Coupling a Simple and Generic Membrane Fouling Model with Biological Dynamics: Application to the Modeling of an Anaerobic Membrane BioReactor (AnMBR)

Coupling a Simple and Generic Membrane Fouling Model with Biological Dynamics: Application to the Modeling of an Anaerobic Membrane BioReactor (AnMBR)

Coupling a Simple and Generic Membrane Fouling Model with Biological Dynamics: Application to the Modeling of an Anaerobic Membrane BioReactor (AnMBR)

Biomethane recovery performance and microbial community dynamics of a high-biomass submerged AnMBR (HBSAnMBR) treating abattoir wastewater

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