Improving Prediction Accuracy of a Rate-Based Model of an MEA-Based Carbon Capture Process for Large-Scale Commercial Deployment

Luo, X. and Wang, M. orcid.org/0000-0001-9752-270X (2017) Improving Prediction Accuracy of a Rate-Based Model of an MEA-Based Carbon Capture Process for Large-Scale Commercial Deployment. Engineering, 3 (2). pp. 232-243. ISSN 2095-8099

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2017 THE AUTHORS. Published by Elsevier LTD on behalf of the Chinese Academy of Engineering and Higher Education Press Limited Company. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: Process modeling; Model validation; Monoethanolamine; Carbon capture; Combined cycle gas turbine power plant; Carbon capture and storage
Dates:
  • Published: April 2017
  • Accepted: 30 January 2017
  • Published (online): 12 May 2017
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: 28 Jun 2017 10:46
Last Modified: 28 Jun 2017 10:46
Published Version: https://doi.org/10.1016/J.ENG.2017.02.001
Status: Published
Publisher: Elsevier
Refereed: Yes
Identification Number: https://doi.org/10.1016/J.ENG.2017.02.001

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