Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

Dynamic model of a post-combustion absorption unit for use in a non-linear model predictive control scheme

Prölss, Katrin ; Tummescheit, Hubertus ; Velut, Stéphane LU and Åkesson, Johan LU (2011) 10th International Conference on Greenhouse Gas Control Technologies 4. p.2620-2627
Abstract
With an increasing demand on load flexibility in power supply networks, advanced control systems for plants with carbon capture units gain in significance. Minimizing the energy demand for carbon dioxide removal under these circumstances is a major task of such a control strategy. In this work a dynamic model in Modelica of a chemical absorption process run with an aqueous monoethanolamine (MEA) is developed. 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 model is intended to be used in the framework of... (More)
With an increasing demand on load flexibility in power supply networks, advanced control systems for plants with carbon capture units gain in significance. Minimizing the energy demand for carbon dioxide removal under these circumstances is a major task of such a control strategy. In this work a dynamic model in Modelica of a chemical absorption process run with an aqueous monoethanolamine (MEA) is developed. 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 model is intended to be used in the framework of JModelica.org, a platform supporting non-linear dynamic optimization. (Less)
Please use this url to cite or link to this publication:
author
; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Model, Absorption, CO2, Optimization, Nonlinear model predictive control, Modelica
host publication
Energy Procedia
volume
4
pages
2620 - 2627
publisher
Elsevier
conference name
10th International Conference on Greenhouse Gas Control Technologies
conference location
Amsterdam, Netherlands
conference dates
2010-09-19
external identifiers
  • wos:000298299702114
  • scopus:79955384124
ISSN
1876-6102
DOI
10.1016/j.egypro.2011.02.161
language
English
LU publication?
yes
id
5cf944c8-e66c-4ecf-a2cd-f381fed99f3a (old id 1769513)
date added to LUP
2016-04-01 13:12:31
date last changed
2022-04-06 03:12:35
@inproceedings{5cf944c8-e66c-4ecf-a2cd-f381fed99f3a,
  abstract     = {{With an increasing demand on load flexibility in power supply networks, advanced control systems for plants with carbon capture units gain in significance. Minimizing the energy demand for carbon dioxide removal under these circumstances is a major task of such a control strategy. In this work a dynamic model in Modelica of a chemical absorption process run with an aqueous monoethanolamine (MEA) is developed. 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 model is intended to be used in the framework of JModelica.org, a platform supporting non-linear dynamic optimization.}},
  author       = {{Prölss, Katrin and Tummescheit, Hubertus and Velut, Stéphane and Åkesson, Johan}},
  booktitle    = {{Energy Procedia}},
  issn         = {{1876-6102}},
  keywords     = {{Model; Absorption; CO2; Optimization; Nonlinear model predictive control; Modelica}},
  language     = {{eng}},
  pages        = {{2620--2627}},
  publisher    = {{Elsevier}},
  title        = {{Dynamic model of a post-combustion absorption unit for use in a non-linear model predictive control scheme}},
  url          = {{http://dx.doi.org/10.1016/j.egypro.2011.02.161}},
  doi          = {{10.1016/j.egypro.2011.02.161}},
  volume       = {{4}},
  year         = {{2011}},
}