Nonlinear Model Predictive Control of a CO2 Post-Combustion Absorption Unit
(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:
https://lup.lub.lu.se/record/2300766
- author
- Åkesson, Johan LU ; Laird, Carl D. ; Lavedan, Geoffry ; Prölss, Katrin ; Tummescheit, Hubertus ; Velut, Stéphane and Zhu, Yu
- organization
- publishing date
- 2012
- 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}}, }