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Modelica Based Grade Change Optimization for a Polyethylene Reactor

Larsson, Per-Ola LU ; Andersson, Niklas LU ; Åkesson, Johan LU and Haugwitz, Staffan (2010) 9th International Symposium on Dynamics and Control of Process Systems
Abstract
This paper presents a dynamic optimization procedure of grade changes of polyethylene production. The optimization is built upon a novel modular Modelica library containing e.g., non-linear DAE models for polyethylene reactors based on models currently used in nonlinear MPC of industrial reactors at Borealis AB. Using Optimica, which extends the Modelica language with constructs for optimization problems, and JModelica.org, a novel framework to translate such optimization problems into NLP problems, grade transition ptimization problems can be solved. The solution procedure and a transition xample with optimal inputs and outputs are given in the paper showing promising results.
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author
organization
publishing date
type
Contribution to conference
publication status
published
subject
keywords
optimization, Modelica, chemical industry, grade change, polymerization
conference name
9th International Symposium on Dynamics and Control of Process Systems
external identifiers
  • Scopus:80051728770
language
English
LU publication?
yes
id
d2f3c0ca-f584-423b-bced-638bbe6365a7 (old id 1768644)
date added to LUP
2011-01-24 10:05:41
date last changed
2016-10-13 05:02:32
@misc{d2f3c0ca-f584-423b-bced-638bbe6365a7,
  abstract     = {This paper presents a dynamic optimization procedure of grade changes of polyethylene production. The optimization is built upon a novel modular Modelica library containing e.g., non-linear DAE models for polyethylene reactors based on models currently used in nonlinear MPC of industrial reactors at Borealis AB. Using Optimica, which extends the Modelica language with constructs for optimization problems, and JModelica.org, a novel framework to translate such optimization problems into NLP problems, grade transition ptimization problems can be solved. The solution procedure and a transition xample with optimal inputs and outputs are given in the paper showing promising results.},
  author       = {Larsson, Per-Ola and Andersson, Niklas and Åkesson, Johan and Haugwitz, Staffan},
  keyword      = {optimization,Modelica,chemical industry,grade change,polymerization},
  language     = {eng},
  title        = {Modelica Based Grade Change Optimization for a Polyethylene Reactor},
  year         = {2010},
}