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Modelica Based Grade Change Optimization for a Polyethylene Reactor

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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

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