Advanced modelling of adsorption process on activated carbon
[Display omitted] •Modeling of batch adsorption on activated carbon.•Designing adsorption kinetics with parallel pore model.•Designing adsorption kinetic with particle size distribution model.•Slow surface adsorption–desorption controls mass transfer in organic phases.•Diffusion or slow surface adso...
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Published in | Chemical engineering research & design Vol. 181; pp. 27 - 40 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Rugby
Elsevier Ltd
01.05.2022
Elsevier Science Ltd |
Subjects | |
Online Access | Get full text |
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Summary: | [Display omitted]
•Modeling of batch adsorption on activated carbon.•Designing adsorption kinetics with parallel pore model.•Designing adsorption kinetic with particle size distribution model.•Slow surface adsorption–desorption controls mass transfer in organic phases.•Diffusion or slow surface adsorption–desorption controls mass transfer in water.
To gain a deeper insight into the adsorption kinetics mechanism, the adsorption of p-chlorophenol (PCP) from water, cyclohexane, and heptane on surface chemistry modified activated carbons was modeled by the general rate (GR) differential mass transport model, which takes into account external and internal mass transfer resistance. Due to the fact that the particles of AC are characterized by a wide particle size distribution (PSD) and pore diameter distribution (PDD), which are usually not considered for the simulation, our experimental dates were modeled with the GR model, in which PSD and PDD were included. It was found that, for organic phases, mainly the slow surface adsorption–desorption process controls mass transfer. In the case of water, the mass transfer was controlled by molecular diffusion in pores or by slow surface adsorption depending on AC. It was also shown that neglecting the PSD can lead to errors in the evaluation of the values of the adsorption model parameters, whereas, on the other hand, the pore diameter distribution can be successively approximated by average pore diameter. |
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ISSN: | 0263-8762 1744-3563 |
DOI: | 10.1016/j.cherd.2022.03.004 |