Rate-based modeling and economic optimization of next-generation amine-based carbon capture plants
File(s)
Accepted version
Author(s)
Tsay, Calvin
Pattison, Richard C
Zhang, Yue
Rochelle, Gary T
Baldea, Michael
Type
Journal Article
Abstract
Amine scrubbing processes remain an important technology for mitigating the contribution of carbon emissions to global warming and climate change. Like other chemical processes, they can benefit from computer-aided optimization at the design stage, but systematic optimization procedures are rarely employed due to the challenges of simulating the requisite rate-based mass transfer and reaction models. This paper presents a novel approach for the simulation and optimization of rate-based columns, with specific application to the absorber and stripper columns found in (amine-) solvent-based carbon capture processes. The approach is based on pseudo-transient continuation, and the resulting column models are easily incorporated into large-scale process flowsheets with other previously developed pseudo-transient models. We demonstrate that the proposed approach allows for gradient-based optimization of next-generation amine scrubbing processes by considering a complex carbon capture process under three different operating conditions. The results provide general insight into the design of amine scrubbing processes, and shadow prices at the optimal point(s) suggest potential avenues for improving the process economics. The effects of carbon dioxide removal percentage and flue gas composition on process economics are briefly analyzed.
Date Issued
2019-10
Date Acceptance
2019-05-18
Citation
Applied Energy, 2019, 252, pp.1-15
ISSN
0306-2619
Publisher
Elsevier BV
Start Page
1
End Page
15
Journal / Book Title
Applied Energy
Volume
252
Copyright Statement
© 2019 Elsevier Ltd. All rights reserved. This manuscript is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence http://creativecommons.org/licenses/by-nc-nd/4.0/
Identifier
https://www.sciencedirect.com/science/article/pii/S0306261919310530?via%3Dihub
Subjects
09 Engineering
14 Economics
Energy
Publication Status
Published
Article Number
113379
Date Publish Online
2019-06-11