This paper presents the OptoEcon-Toolbox, a modular software environment for the simulation of chemical and energy processes, and their control using optimizing sampled-data controllers. Key features of this toolbox are modularity, which allows the realization of general multi-layer control architectures, and interfaces to powerful numerical software, which allows the usage of controller and plant surrogate models formulated in different modeling languages such as Modelica or gPROMS. The capability of this toolbox is illustrated in a case study of an industrial copolymerization process.
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