A Non-Linear Stochastic Model for Adsorption in Batch Reactors

A non-linear stochastic model utilizing the Langmuir adsorption isotherm is developed to represent adsorption kinetics in batch adsorbers. The Markov process model equations that result are simpler to solve than deterministic model equations. Model parameters are developed for trichloroethylene adso...

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Bibliographic Details
Published in:Water science and technology 1991, Vol.24 (6), p.49-56
Main Authors: Argyelan, J, Mathews, A P, Nassar, R, Lee, S M
Format: Article
Language:English
Subjects:
Accuracy
Activated carbon
Adsorbents
Adsorption
Batch reactors
Computer simulation
Fixed beds
Isotherms
Kinetics
Markov analysis
Markov chains
Markov processes
Mathematical models
Nonlinearity
Probability theory
Quality control
Randomness
Reaction kinetics
Reactors
Solutions
Solvents
Sorbents
Sorption
Stochastic models
Trichloroethylene
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Description
Summary:A non-linear stochastic model utilizing the Langmuir adsorption isotherm is developed to represent adsorption kinetics in batch adsorbers. The Markov process model equations that result are simpler to solve than deterministic model equations. Model parameters are developed for trichloroethylene adsorption from aqueous solutions on activated carbon for various adsorbent size and loading conditions. Model predictions are in good agreement with experimental data.
ISSN:0273-1223
1996-9732
DOI:10.2166/wst.1991.0140