The role of adsorbent microstructure and its packing arrangement in optimising the performance of an adsorption column

Physical adsorption takes place inside narrow pores where the attractive interaction between the surface of the adsorbent and the contaminant molecules is strong enough to retain the molecules. Adsorption columns involve a range of mass-transport mechanisms: advection through the free spaces between...

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Detalhes bibliográficos
Autores: Valverde Salamanca, Abel|||0000-0002-0179-117X, Griffiths, Ian M.
Tipo de documento: artigo
Data de publicação:2024
País:España
Recursos:Universitat Politècnica de Catalunya (UPC)
Repositório:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglês
OAI Identifier:oai:upcommons.upc.edu:2117/422964
Acesso em linha:https://hdl.handle.net/2117/422964
https://dx.doi.org/10.1007/s43938-024-00064-7
Access Level:Acceso aberto
Palavra-chave:Mesopores
Micropores
Process optimisation
Adsorption Column
Mathematical model
Advection-diffusion
Àrees temàtiques de la UPC::Enginyeria química
Descrição
Resumo:Physical adsorption takes place inside narrow pores where the attractive interaction between the surface of the adsorbent and the contaminant molecules is strong enough to retain the molecules. Adsorption columns involve a range of mass-transport mechanisms: advection through the free spaces between the adsorbent pellets, diffusion through the macro/mesopores of the adsorbent, and adsorption at the surface, where the micropores exist. The adsorbent specifications along with its assembly within the sorption column are key factors when optimizing the filtration of pollutants. In this work we present a mathematical model based on advection–diffusion equations coupled with Langmuir kinetics that accounts for a geometrical approach to the porosity structure inside the adsorbent, formed by a radial lattice of cylinders, and the channels through which the fluid flows surrounding the cylindrical pellets. The model is tested using typical lab-scale values based on VOC adsorption, and we use it to identify optimal macro/mesopore size and column porosity for energetic considerations.