Wu, X., Shen, J., Li, Y. et al. (3 more authors) (2018) Nonlinear dynamic analysis and control design of a solvent-based post-combustion CO2 capture process. Computers and Chemical Engineering, 115. pp. 397-406. ISSN 0098-1354
Abstract
A flexible operation of the solvent-based post-combustion CO2capture (PCC) process is of great importance to make the technology widely used in the power industry. However, in case of a wide range of operation, the presence of process nonlinearity may degrade the performance of the pre-designed linear controller. This paper gives a comprehensive analysis of the dynamic behavior and nonlinearity distribution of the PCC process. Three cases are taken into account during the investigation: 1) capture rate change; 2) flue gas flowrate change; and 3) re-boiler temperature change. The investigations show that the CO2capture process does have strong nonlinearity; however, by selecting a suitable control target and operating range, a single linear controller is possible to control the capture system within this range. Based on the analysis results, a linear model predictive controller is designed for the CO2capture process. Simulations of the designed controller on an MEA based PCC plant demonstrate the effectiveness of the proposed control approach.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2018 Elsevier. This is an author produced version of a paper subsequently published in Computers and Chemical Engineering. 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: | Solvent-based post-combustion carbon capture; Dynamic behavior variations; Nonlinearity investigation; Gap-metric; Model predictve control |
Dates: |
|
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: | 13 Jul 2018 09:11 |
Last Modified: | 27 Apr 2019 00:43 |
Published Version: | https://doi.org/10.1016/j.compchemeng.2018.04.028 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | Yes |
Identification Number: | 10.1016/j.compchemeng.2018.04.028 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:132998 |
Download
Filename: 2018_04_18_XiaoWu_ModifiedManuscript.pdf
Licence: CC-BY-NC-ND 4.0