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Nonlinear Model Predictive Control of a CO2 Post-Combustion Absorption Unit

Åkesson, Johan LU ; Laird, Carl D. ; Lavedan, Geoffry ; Prölss, Katrin ; Tummescheit, Hubertus ; Velut, Stéphane and Zhu, Yu (2012) In Chemical Engineering & Technology 35(3). p.445-454
Abstract
A dynamic model of a chemical CO2 absorption process with aqueous monoethanolamine (MEA) is presented, validated against experimental data. Based on the validated model, a reduced-order model is developed, suitable for an online optimization control strategy. The objective of the optimization is to enable fast adap- tations to changes in operating conditions of the power plant, while minimizing the energy consumption in the operation of the CO2 separation plant. The results indicate that model-based online optimization is a feasible technology for control of CO2 separation systems.
Please use this url to cite or link to this publication:
author
; ; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Chemical Engineering & Technology
volume
35
issue
3
pages
445 - 454
publisher
John Wiley & Sons Inc.
external identifiers
  • wos:000300768200012
  • scopus:84857572008
ISSN
1521-4125
DOI
10.1002/ceat.201100480
project
LCCC
language
English
LU publication?
yes
additional info
key=ake_etal2012chem project=langopt,LCCC-modeling
id
9d9e68f4-a7c6-41aa-8f1d-79f565f70268 (old id 2300766)
date added to LUP
2016-04-01 10:44:31
date last changed
2022-04-28 01:01:01
@article{9d9e68f4-a7c6-41aa-8f1d-79f565f70268,
  abstract     = {{A dynamic model of a chemical CO2 absorption process with aqueous monoethanolamine (MEA) is presented, validated against experimental data. Based on the validated model, a reduced-order model is developed, suitable for an online optimization control strategy. The objective of the optimization is to enable fast adap- tations to changes in operating conditions of the power plant, while minimizing the energy consumption in the operation of the CO2 separation plant. The results indicate that model-based online optimization is a feasible technology for control of CO2 separation systems.}},
  author       = {{Åkesson, Johan and Laird, Carl D. and Lavedan, Geoffry and Prölss, Katrin and Tummescheit, Hubertus and Velut, Stéphane and Zhu, Yu}},
  issn         = {{1521-4125}},
  language     = {{eng}},
  number       = {{3}},
  pages        = {{445--454}},
  publisher    = {{John Wiley & Sons Inc.}},
  series       = {{Chemical Engineering & Technology}},
  title        = {{Nonlinear Model Predictive Control of a CO2 Post-Combustion Absorption Unit}},
  url          = {{http://dx.doi.org/10.1002/ceat.201100480}},
  doi          = {{10.1002/ceat.201100480}},
  volume       = {{35}},
  year         = {{2012}},
}