Evaluation of CO2 capture process and operational challenges by dynamic simulation

Conference proceedings article

Authors / Editors

Agachi, Paul

Research Areas

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Publication Details

Author list: Cormos AM, Gaspar J, Agachi PS

Publisher: Elsevier: Monograph Series

Place: AMSTERDAM

Publication year: 2012

Journal: Computer Aided Chemical Engineering (1570-7946)

Journal acronym: COMPUT-AIDED CHEM EN

Volume number: 30

Start page: 187

End page: 191

Number of pages: 5

eISBN: 978-0-444-59431-0

ISSN: 1570-7946

Languages: English-Great Britain (EN-GB)

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Abstract

This paper aims to develop, validate (against experimental results from literature and pilot plant operation) a dynamic mathematical model of CO2 capture process and to investigate absorption performance of different type of alkanolamines (e. g. MEA, AMP etc.) for wide domain of operating conditions. The challenges are to model the complex phenomena associated with the absorber/desorber unit without losing important information and to ensure minimal differences between simulation and experimental results. The mathematical model of carbon dioxide absorption includes differential equations, e. g. mass and heat transfer models to study the coupled effect of temperature and concentration on the absorption rate, reaction kinetics, vapor-liquid equilibrium (VLE), hydrodynamic aspects etc. Determinant parts of the absorption model are the effective interfacial area, the mass transfer coefficient, heat transfer coefficient, pressure drop and liquid hold-up models. Dynamic simulation of different scenarios of dynamic behavior of carbon capture process is presented. The developed mathematical model is used to evaluate CO2 capture process for wide domain of operating conditions, in order to predict with accuracy the process parameters (liquid and gaseous flows, composition of the streams, temperatures etc.) and column's parameters (mass transfer area, mass transfer coefficient, pressure drop).

Keywords

Absorption/desorption cycle, Carbon Capture and Storage, Dynamic modeling, simulation and optimization

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