Liao, P., Li, Y., Wang, M. orcid.org/0000-0001-9752-270X et al. (2 more authors) (2017) Review of dynamic modelling, system identification and control scheme in solvent-based post-combustion carbon capture process. In: Energy Procedia. The International Conference on Applied Energy, ICAE2017, 21-24 Aug 2017, Cardiff, UK. Elsevier , pp. 3505-3510.
Abstract
Solvent-based post-combustion carbon capture (PCC) process is widely viewed as the most viable option for reducing CO 2 emission. This technology has been deployed globally and many researches have been conducted in this area. In this paper, current status of dynamic modelling, system identification and control scheme of solvent-based PCC process is reviewed. Different research directions of these areas are discussed to conclude the existing challenges. Based on this, this paper is also trying to provide potential solutions as possible pathways for flexible and economical operation.
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. Under a Creative Commons license (http://creativecommons.org/licenses/by-nc-nd/4.0/) |
Keywords: | Post-combustion Carbon capture; Chemical Absorption; Dynamic modelling; System identification; Control scheme; Review |
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: | 02 May 2018 15:39 |
Last Modified: | 20 Dec 2022 13:11 |
Published Version: | https://doi.org/10.1016/j.egypro.2017.12.237 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | Yes |
Identification Number: | 10.1016/j.egypro.2017.12.237 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:130224 |
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Filename: 2018_01_31_Liao_Li_Wang_Wu_Shen_Published_Version.pdf
Licence: CC-BY-NC-ND 4.0