Oko, E. orcid.org/0000-0001-9221-680X, Wang, M. orcid.org/0000-0001-9752-270X and Ramshaw, C. (2016) Study of mass transfer correlations for intensified absorbers in post-combustion CO2 capture based on chemical absorption. In: Energy Procedia. 13th International Conference on Greenhouse Gas Control Technologies, GHGT-13, 14-18 Nov 2016, Lausanne, Switzerland. Elsevier , pp. 1630-1636.
Abstract
Process intensification (PI) technologies such as rotating packed beds (RPBs) could reduce the size of absorber used in post-combustion CO2 capture (PCC) based on chemical absorption processes by about 12 times compared to absorber with standard packed beds. However, mass transfer correlations for predicting effective interfacial area and liquid film mass transfer coefficient in RPBs are limited in literature and their prediction accuracy against experimental data is yet to be compared. This need is addressed in this study by evaluating the performances of different correlations through comparison with experimental data. Of all the correlations assessed, it is found that Lou et al. [1] and Tung and Mah [2] correlations give reliable estimate of the effective interfacial area and liquid film mass transfer coefficients respectively.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
Keywords: | Post-combustion CO2 capture; chemical absorption; packed bed; rotating packed bed; mass transfer correlations |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Chemical and Biological Engineering (Sheffield) |
Funding Information: | Funder Grant number ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL (EPSRC) EP/M001458/2 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 13 Nov 2017 10:37 |
Last Modified: | 13 Nov 2017 10:37 |
Published Version: | https://doi.org/10.1016/j.egypro.2017.03.1292 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | Yes |
Identification Number: | 10.1016/j.egypro.2017.03.1292 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:123628 |