Monte Carlo simulations of 2D flat-sheet membrane filters for constant-pressure water purification

TL;DR

This paper introduces a Monte Carlo simulation model for flat-sheet membrane filters in water purification, accurately predicting fouling and flux recovery during filtration and backwashing, validated against experimental data.

Contribution

The paper presents a novel Monte Carlo model for membrane fouling and backwashing, validated with experiments, enabling prediction of flux behavior under various conditions.

Findings

Model accurately matches experimental data

Predicts flux recovery under different backwashing protocols

Extends understanding of fouling dynamics in membrane filtration

Abstract

Membrane filtration is widely used in water treatment to remove foulants from contaminated water. Foulant build-up on the membrane occludes the area open for fluid flow, which impairs the efficiency of the filtration operation by decreasing the flux through the membrane. Backwashing is a strategy to restore the membrane, wherein clean water is processed backward through the membrane to dislodge attached foulants. We develop a Monte Carlo model to simulate constant-pressure forward filtration and backwashing through dead-end, flat-sheet membranes, with membrane fouling dominated by intermediate blocking. We validate our model against real-world experiments conducted with different foulant types and concentrations and run under different filtration conditions. Relying primarily on measurable physical parameters and employing easy-to-implement parameter fitting techniques as needed, we show good agreement between experimental data and numerical simulations. We extend these results to predict flux behavior in forward filtration and backwashing when foulant properties or filtration conditions are varied. The newly developed model can be used to further investigate the impact of varying backwashing duration, frequency, and/or pressure on the rate of flux recovery.