Integrating activated sludge floc size information in MBR fouling modeling

Area of Science:

• Environmental Engineering
• Water Treatment Technologies
• Membrane Science

Background:

• Membrane fouling significantly impacts membrane bioreactor (MBR) performance.
• Existing models struggle to accurately capture fouling mechanisms like cake layer formation and pore blocking.
• Activated sludge bioflocculation characteristics are linked to membrane fouling extent.

Purpose of the Study:

• To develop an improved fouling model for MBRs by incorporating activated sludge floc size distribution.
• To enhance the prediction of pore blocking and cake layer formation under constant flux conditions.
• To provide a 3D visualization of the cake layer for better model input.

Main Methods:

• Integrated activated sludge floc size distribution (particle size distribution) into pore blocking and cake layer models.
• Developed a three-dimensional modeling and visualization approach for cake layer formation.
• Calibrated and validated the model using experimental data from Hwang et al. (2012).

Main Results:

• Demonstrated the integration of floc size data into MBR fouling models.
• Provided a framework for 3D cake layer visualization.
• Successfully calibrated and validated the enhanced fouling model against experimental results.

Conclusions:

• Activated sludge floc size is a critical parameter for accurate MBR fouling modeling.
• The developed model offers improved prediction of fouling phenomena, particularly pore blocking and cake layer formation.
• This approach advances the understanding and management of MBR filtration performance.