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Development of a Copolymerization Reactor Model for Online Control in Polymerization Processes

This summer internship project focuses on developing a copolymerization reactor model for styrene and butyl acrylate, utilizing the Modelica programming language. The primary goal is offline parameter estimation to validate the model, which is established from first principles. Using experimental data and Cybernetica ModelFit software, the model aims for high fidelity to enable the future design of an MPC controller. Performances include handling approximately 30 states and 35 parameters with careful considerations on computational time to ensure effective implementation in control systems.

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Development of a Copolymerization Reactor Model for Online Control in Polymerization Processes

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  1. Models for online controlof batch polymerizationprocesses. Background: Summer internship • Copolymerizationreactormodelwritten in theModelicaprogramminglanguage. Main goal: Offline parameter estimation • The establishedmodelsaremainlymade from first principles, and modelvalidation is required in order to verifythemodel. • Useexperimental data togetherwiththeCyberneticaModelFitsoftware to improvethemodel. Ultimate scope: Obtain a high-end model for which an MPC controllercan be designed, usingonline estimation and optimization. Controller design is left for masters thesis. Student: Fredrik Gjertsen Supervisor, NTNU: Prof. Sigurd Skogestad Supervisor, external: Peter Singstad, Cybernetica AS

  2. The copolymerizationmodel • Two-phaseemulsioncopolymerizationof styrene and butyl acrylate • Quitecomprehensivemodel • ~ 30 states • ~ 35 parameters • Considerationswithrespect to computational time must be done • Implementation in a control system

  3. Progress • Learn to usesoftware for parameter estimation • Theoryofestimation • Acquireexperimental data from one or more reactors (labscale or industrialscale). • Performoff-line parameter fitting • Kineticadjustmentfactors • Heat transfer properties

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