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Models of a post-combustion absorption unit for simulation, optimization and non-linear model predictive control schemes

Åkesson, Johan LU ; Faber, R ; Laird, Carl ; Tummescheit, Hubertus ; Velut, Stéphane and Zhu, Yu (2011) 8th International Modelica Conference 2011
Abstract
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... (More)
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. (Less)
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organization
publishing date
type
Contribution to conference
publication status
published
subject
conference name
8th International Modelica Conference 2011
conference location
Dresden, Germany
conference dates
2011-03-20
language
English
LU publication?
yes
id
67c553a0-5d0b-4e8a-9bca-e7402204ae37 (old id 1967914)
date added to LUP
2016-04-04 14:05:12
date last changed
2018-11-21 21:18:13
@misc{67c553a0-5d0b-4e8a-9bca-e7402204ae37,
  abstract     = {{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. <br/><br>
<br/><br>
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.}},
  author       = {{Åkesson, Johan and Faber, R and Laird, Carl and Tummescheit, Hubertus and Velut, Stéphane and Zhu, Yu}},
  language     = {{eng}},
  title        = {{Models of a post-combustion absorption unit for simulation, optimization and non-linear model predictive control schemes}},
  url          = {{https://lup.lub.lu.se/search/files/6277151/8083773.pdf}},
  year         = {{2011}},
}