Post-combustion CO2 capture; Solvent degradation; process modeling
Abstract :
[en] Solvent degradation may be a major drawback for the large-scale implementation of post-combustion CO2 capture due to amine consumption and emission of degradation products. However, its influence on the process operations has rarely been studied. In the present work, a kinetics model describing solvent oxidative and thermal degradation has been developed based on own experimental results for the benchmark solvent, i.e. 30 wt% monoethanolamine (MEA) in water. This model has been included into a global Aspen Plus model of the CO2 capture process. The selected process modelling approaches are described in the present work. Using the resulting simulation model, optimal operating conditions can be identified to minimize both the energy requirement and the solvent degradation in the process. This kind of process model assessing solvent degradation may contribute to the design of large-scale CO2 capture plants to consider not only the process energy penalty, but also its environmental penalty. Indeed, both aspects are relevant for the large-scale deployment of the CO2 capture technology.
Research Center/Unit :
Department of applied chemistry - University of Liège
Disciplines :
Chemical engineering
Author, co-author :
Léonard, Grégoire ; Université de Liège - ULiège > Département de chimie appliquée > Génie chimique - Procédés et développement durable
Toye, Dominique ; Université de Liège - ULiège > Département de chimie appliquée > Génie de la réaction et des réacteurs chimiques
Heyen, Georges ; Université de Liège - ULiège > Département de chimie appliquée > Département de chimie appliquée
Language :
English
Title :
Assessment of Solvent Degradation within a Global Process Model of Post-Combustion CO2 Capture
Alternative titles :
[fr] Evaluation de la dégradation des solvants au sein d'un modèle global du procédé de capture de CO2 post-combustion
Publication date :
2014
Journal title :
Computer Aided Chemical Engineering
ISSN :
1570-7946
Publisher :
Elsevier, Amsterdam, Netherlands
Special issue title :
Proceedings of the 24th European Symposium on Computer Aided Process Engineering – ESCAPE 24
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