Abstract

Employment of the axial dispersion theory to model chemical or biochemical processes often results in coupled parabolic partial differential equations (PDEs). The classical Danckwerts boundary conditions have been widely used to solve these PDEs despite the fact that artificial suppression of the exit concentration gradient to zero may be physically unrealistic and may cause numerical instability. In this study, a recently developed exit boundary condition is shown to be inapplicable to model processes which demonstrate significant differences in the dynamics of components - typically found in biochemical processes. Using an activated sludge process and a pilot-scale subsurface flow (SSF) constructed wetland as case studies, we demonstrated in this study that a time-dependent exit boundary condition is more appropriate for use with the Danckwerts inlet boundary condition and the axial dispersion theory to model a biological system operating at near-plug flow conditions. Instead of using steady-state results we found that evaluation of alternative exit boundary condition using dynamic simulation results is more realistic.Employment of the axial dispersion theory to model chemical or biochemical processes often results in coupled parabolic partial differential equations (PDEs). The classical Danckwerts boundary conditions have been widely used to solve PDEs despite the fact that artificial suppression of the exit concentration gradient to zero may be physically unrealistic and may cause numerical instability. In this study, a recently developed exit boundary condition is shown to be inapplicable to model processes which demonstrate significant differences in the dynamics of components - typically found in biochemical processes. Using an activated sludge process and a pilot-scale subsurface flow (SSF) constructed wetland as case studies, we demonstrated in this study that a time-dependent exit boundary condition is more appropriate for use with the Danckwerts inlet boundary condition and the axial dispersion theory to model a biological system operating at near-plug flow conditions. Instead of using steady-state results we found that evaluation of alternative exit boundary condition using dynamic simulation results is more realistic.

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