Modelica Based Grade Change Optimization for a Polyethylene Reactor
Author
Summary, in English
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.
Publishing year
2010
Language
English
Full text
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Document type
Conference paper
Topic
- Chemical Engineering
- Control Engineering
Keywords
- optimization
- Modelica
- chemical industry
- grade change
- polymerization
Conference name
9th International Symposium on Dynamics and Control of Process Systems
Conference date
2010-07-05
Conference place
Leuven, Belgium
Status
Published
Research group
- LCCC