Article | Proceedings of the 8th International Modelica Conference; March 20th-22nd; Technical Univeristy; Dresden; Germany | Models of a post-combustion absorption unit for simulation; optimization and non-linear model predictive control schemes Linköping University Electronic Press Conference Proceedings
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Title:
Models of a post-combustion absorption unit for simulation; optimization and non-linear model predictive control schemes
Author:
J. Åkesson: Modelon AB, Ideon Science Park, Lund, Sweden \ Department of Automatic Control, Lund University, Sweden R. Faber: Vattenfall Research and Development AB, Berlin, Germany C. D. Laird: Artie McFerrin Department of Chemical Engineering, Texas A&M University, U.S.A K. Prölss: Modelon AB, Ideon Science Park, Lund, Sweden H. Tummescheit: Modelon AB, Ideon Science Park, Lund, Sweden S. Velut: Modelon AB, Ideon Science Park, Lund, Sweden Y. Zhu: Artie McFerrin Department of Chemical Engineering, Texas A&M University, U.S.A
DOI:
10.3384/ecp1106364
Download:
Full text (pdf)
Year:
2011
Conference:
Proceedings of the 8th International Modelica Conference; March 20th-22nd; Technical Univeristy; Dresden; Germany
Issue:
063
Article no.:
009
Pages:
64-74
No. of pages:
11
Publication type:
Abstract and Fulltext
Published:
2011-06-30
ISBN:
978-91-7393-096-3
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press; Linköpings universitet


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An increasing demand on load flexibility in power supply networks is the motivation to look at flexible; and possibly optimal control systems for power plants with carbon capture units. Minimizing the energy demand for carbon dioxide removal under these circumstances reduces the cost disadvantage of carbon capture compared to conventional production. In this work a dynamic model in Modelica of a chemical absorption process run with an aqueous monoethanolamine (MEA) is developed; and used for solving optimal control problems. Starting from a rather detailed dynamic model of the process; model reduction is performed based on physical insight. The reduced model computes distinctly faster; shows similar transient behavior and reflects trends for optimal steady-state operations reported in the literature. The detailed model has been developed in Dymola; and the reduced model is used in JModelica. org; a platform supporting non-linear dynamic optimization. First results are shown on the dynamic optimization of the desorption column; the main cause of energy usage in the process.

Keywords: CO2; absorption; model; optimization; nonlinear model predictive control; Modelica; Jmodelica; org

Proceedings of the 8th International Modelica Conference; March 20th-22nd; Technical Univeristy; Dresden; Germany

Author:
J. Åkesson, R. Faber, C. D. Laird, K. Prölss, H. Tummescheit, S. Velut, Y. Zhu
Title:
Models of a post-combustion absorption unit for simulation; optimization and non-linear model predictive control schemes
DOI:
http://dx.doi.org/10.3384/ecp1106364
References:

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Proceedings of the 8th International Modelica Conference; March 20th-22nd; Technical Univeristy; Dresden; Germany

Author:
J. Åkesson, R. Faber, C. D. Laird, K. Prölss, H. Tummescheit, S. Velut, Y. Zhu
Title:
Models of a post-combustion absorption unit for simulation; optimization and non-linear model predictive control schemes
DOI:
https://doi.org10.3384/ecp1106364
Note: the following are taken directly from CrossRef
Citations:
  • Guillermo Martinez Castilla, Maximilian Biermann, Rubén M. Montañés, Fredrik Norman & Filip Johnsson (2019). Integrating carbon capture into an industrial combined-heat-and-power plant: performance with hourly and seasonal load changes. International Journal of Greenhouse Gas Control, 82: 192. DOI: 10.1016/j.ijggc.2019.01.015


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