Akinola, T.E., Oko, E. orcid.org/0000-0001-9221-680X and Wang, M. orcid.org/0000-0001-9752-270X (2019) Study of CO2 removal in natural gas process using mixture of ionic liquid and MEA through process simulation. Fuel, 236. pp. 135-146. ISSN 0016-2361
Abstract
There has been a shift to less carbon intensive fuels such as natural gas to meet energy demand due to increasing pressure to cut CO2 emissions. This has prompted a need to assess unconventional and contaminated natural gas reserves (which contains CO2 concentration of 20 mol% or more). The CO2 capture process with MEA as the solvent is mostly adopted to treat contaminated natural gas. In this study, the option of using a blend of ionic liquids (IL) and MEA as a promising solvent in the process was investigated through modelling and simulation. A detailed rate-based model was developed for both MEA (30 wt%) solvent and IL (30 wt%)-MEA (30 wt%) blend using Aspen Plus® to assess both process and economic performances. The 1-Butylpyridinium ([bpy][BF4]) ionic liquid was selected in this study. The physiochemical properties of [bpy][BF4], predicted using Aspen Plus®, showed good accuracy compared with experimental data. The results from this study showed about 15% and 7.44% lower energy consumption in the reboiler duty and CO2 removal cost respectively with aqueous [bpy][BF4]-MEA solvent compared to 30 wt% MEA solvent. It is concluded that the aqueous [bpy][BF4]-MEA solvent is therefore a promising solvent that could replace 30 wt% MEA solvent in this process.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 Elsevier. This is an author produced version of a paper subsequently published in Fuel. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
Keywords: | Natural gas processing; CO2 removal; Chemical absorption; MEA; Ionic liquid; Process simulation |
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) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 21 Dec 2018 10:20 |
Last Modified: | 07 Sep 2019 01:02 |
Published Version: | https://doi.org/10.1016/j.fuel.2018.08.152 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | Yes |
Identification Number: | 10.1016/j.fuel.2018.08.152 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:140070 |
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Licence: CC-BY-NC-ND 4.0