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.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1768644
- author
- Larsson, Per-Ola
LU
; Andersson, Niklas
LU
; Åkesson, Johan
LU
and Haugwitz, Staffan
- organization
- publishing date
- 2010
- 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
- conference location
- Leuven, Belgium
- conference dates
- 2010-07-05
- external identifiers
-
- scopus:80051728770
- language
- English
- LU publication?
- yes
- additional info
- project=polygradechange
- id
- d2f3c0ca-f584-423b-bced-638bbe6365a7 (old id 1768644)
- date added to LUP
- 2016-04-04 14:30:35
- date last changed
- 2024-01-04 00:09:15
@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}},
keywords = {{optimization; Modelica; chemical industry; grade change; polymerization}},
language = {{eng}},
title = {{Modelica Based Grade Change Optimization for a Polyethylene Reactor}},
url = {{https://lup.lub.lu.se/search/files/6376716/8170253.pdf}},
year = {{2010}},
}