TY - JOUR
T1 - Modeling of bioactive carbon adsorbers
T2 - A hybrid weighted residual-finite difference numerical technique
AU - Ravindran, Varadarajan
AU - Badriyha, Badri N.
AU - Pirbazari, Massoud
AU - Kim, Sung Hyun
N1 - Funding Information:
This research project was funded by a grant from the Zumberge Research and Innovation Fund of the University of Southern California.
Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.
PY - 1996
Y1 - 1996
N2 - Phenomenological mathematical models incorporating adsorption, mass transfer, and biofilm degradation were developed for performance prediction/simulation of bioactive carbon fixed-bed and fluidized-bed adsorbers in wastewater treatment. The model equations were solved by a numerical technique combining a weighted residual technique such as orthogonal collocation with finite difference method. This hybrid technique was numerically consistent and stable and provided accurate solutions at computing times lower than those corresponding to pure orthogonal collocation. The bioadsorber model parameters were independently determined from carefully designed laboratory-scale experiments and correlations. The model predictions of bioadsorber effluent concentration profiles were in strong agreement with the experimental data, illustrating the good predictive capability of the model. Sensitivity studies were performed to identify the influence of model parameters on the bioactive adsorber dynamics.
AB - Phenomenological mathematical models incorporating adsorption, mass transfer, and biofilm degradation were developed for performance prediction/simulation of bioactive carbon fixed-bed and fluidized-bed adsorbers in wastewater treatment. The model equations were solved by a numerical technique combining a weighted residual technique such as orthogonal collocation with finite difference method. This hybrid technique was numerically consistent and stable and provided accurate solutions at computing times lower than those corresponding to pure orthogonal collocation. The bioadsorber model parameters were independently determined from carefully designed laboratory-scale experiments and correlations. The model predictions of bioadsorber effluent concentration profiles were in strong agreement with the experimental data, illustrating the good predictive capability of the model. Sensitivity studies were performed to identify the influence of model parameters on the bioactive adsorber dynamics.
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U2 - 10.1016/0096-3003(95)00151-4
DO - 10.1016/0096-3003(95)00151-4
M3 - Article
AN - SCOPUS:0038815767
SN - 0096-3003
VL - 76
SP - 99
EP - 131
JO - Applied Mathematics and Computation
JF - Applied Mathematics and Computation
IS - 2-3
ER -