Eni Oko
Simplification of detailed rate-based model of post-combustion CO₂ capture for full chain CCS integration studies
Oko, Eni; Wang, Meihong; Olaleye, Akeem K.
Authors
Meihong Wang
Akeem K. Olaleye
Abstract
As post-combustion CO₂ capture (PCC) technology nears commercialisation, it has become necessary for the full carbon capture and storage (CCS) chain to be studied for better understanding of its dynamic characteristics. Model-based approach is one option for economically and safely reaching this objective. However, there is need to ensure that such models are reasonably simple to avoid the requirement for high computational time when carrying out such study. In this paper, a simplification approach for a detailed rate-based model of post-combustion CO₂ capture with solvents (rate-based mass transfer and reactions assumed to be at equilibrium) is presented. The simplified model can be used in model-based control and/or full chain CCS simulation studies. With this approach, we demonstrated significant reduction in CPU time (up to 60%) with reasonable model accuracy retained in comparison with the detailed model.
Citation
Oko, E., Wang, M., & Olaleye, A. K. (2015). Simplification of detailed rate-based model of post-combustion CO₂ capture for full chain CCS integration studies. Fuel, 142, 87-93. https://doi.org/10.1016/j.fuel.2014.10.083
Acceptance Date | Oct 30, 2014 |
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Online Publication Date | Nov 11, 2014 |
Publication Date | Feb 15, 2015 |
Deposit Date | Mar 9, 2016 |
Publicly Available Date | Mar 9, 2016 |
Journal | Journal of further and higher education |
Print ISSN | 0016-2361 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 142 |
Pages | 87-93 |
DOI | https://doi.org/10.1016/j.fuel.2014.10.083 |
Keywords | Post-combustion carbon capture; Dynamic modelling; Model simplification; Steady state validation; Dynamic validation |
Public URL | https://hull-repository.worktribe.com/output/412573 |
Publisher URL | http://www.sciencedirect.com/science/article/pii/S0016236114010849 |
Additional Information | Author's accepted manuscript of article published in: Fuel, 2015, v.142 |
Contract Date | Mar 9, 2016 |
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Copyright Statement
© 2014, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/
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