Modeling of a differential volumetric system for high pressure gas adsorption

De Angelis, Giacomo (2021) Modeling of a differential volumetric system for high pressure gas adsorption. [Laurea magistrale], Università di Bologna, Corso di Studio in Ingegneria chimica e di processo [LM-DM270]
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Abstract

The volumetric system is a widely used experimental method for gas adsorption equilibrium measurements and for the determination of adsorption kinetics. A predictive model was developed in the gPROMS ProcessBuilder platform. Equations for mass and energy balance were implemented firstly for the description of a single-branch volumetric apparatus, and then for a differential (double-branched) system. The model was built starting from the simplest case (Isothermal and ideal gas behaviour) and subsequentially its complexity was increased in order to have a system which is able of describing an adsorption process in any operative conditions (non-isothermal system, non-linear equilibrium, real gas behaviour). The validation of the model was made through the assumption that all the complex systems must collapsed to the simplest one through the adjustment of the different parameters. In certain cases, the validation was done comparing the results obtained in the simulation with the one got from analytical solutions developed by other authors. In general, at the end of each section, a case study was analysed in order to underline what are the factors that can affect the kinetic of the process, providing also possible solution which can minimize these effects, that if not taken into account can lead to an incorrect interpretation of the data.

Abstract
Tipologia del documento
Tesi di laurea (Laurea magistrale)
Autore della tesi
De Angelis, Giacomo
Relatore della tesi
Correlatore della tesi
Scuola
Corso di studio
Indirizzo
Sustainable technologies and biotechnologies for energy and materials
Ordinamento Cds
DM270
Parole chiave
Adsorption,gPROMS,Modeling,Volumetric method,Differential pressure adsorption
Data di discussione della Tesi
28 Maggio 2021
URI

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