Multi-scale physical model simulation of particle filtration using computational fluid dynamics. (1st October 2020)

• Record Type: Journal Article
• Authors: Li, Haochen; Sansalone, John
• Is Part Of: Journal of environmental management. Volume 271(2020)
• Publication Date: 2020-10-01
• Subjects: Water treatment -- Particle size distribution -- Stormwater -- Best management practice -- Unit operation -- Urban drainage; Environmental policy -- Periodicals; Environmental management -- Periodicals; Environment -- Periodicals; Ecology -- Periodicals; 363.705
• DOI: 10.1016/j.jenvman.2020.111021
• Languages: English
• ISSNs: 0301-4797

Abstract

Abstract: Clarifiers integrating radial cartridge filtration (RCF) are a combined unit operation variant of millennia-old sedimentation-filtration systems. Similarly, RCF is a primarily horizontal flow variant with flow orthogonal to gravity and a radial velocity gradient, in contrast to traditional deep-bed vertical filtration. These granular filters function at lower finite granular Reynolds numbers. A proposed computational fluid dynamics framework, implementing the Navier-Stokes equations, couples a pore-scale filter model with a macroscopic scale sedimentation-filtration model to create a tool examining non-Brownian particle separation. Validation is conducted using previous physical testing from a full-scale sedimentation-filtration system under steady flow and particulate loads. Model results illustrate a two-zone filtration structure with respect to particle diameter, similar to vertical filtration. The computational tool predicts particulate matter separation of 86.1% compared to 87.8% for physical testing. The physical-based computational framework does not need high-level calibration as compared to analytical, lumped, or empirical models; conferring direct extensibility to similar unit operation systems. The novel multi-scale tool simulates particulate matter fate in a modern re-incarnation of a sedimentation-filtration unit operation. The tool functions as an adjuvant that complements regulatory or certification testing. The tool can provide guidance for design or maintenance as well as system management with respect to particle fate in, and breakthrough from, granular filters in a combined unit operation. Graphical abstract: Image 1 Highlights: A modern variant to millennia-old systems is radial filtration within clarifiers. Radial granular filtration behavior is approximated by pore-scale simulations. Convex performance curve occurs for radial filters due to area-contraction effects. A pore- and system-scale numerical model are coupled to simulate particle fate. Particle penetration path in filter correlates with high local filtration velocity.