This paper shows how different kinds of optimi-zation related task such as offline optimization or optimal control are solved using a combina-tion of Modelica, Optimica, JModelica.org and Python. The application examples presented in this paper are all real industrial applications in the field of Combined Cycle Power Plants. Therefore different workflows have to be com-bined to solve the underlying task. This paper shows that these workflows can be conveniently connected using Python.
CITATION STYLE
Dietl, K., Gallardo Yances, S., Johnsson, A., Åkesson, J., Link, K., & Velut, S. (2014). Industrial application of optimization with Modelica and Optimica using intelligent Python scripting. In Proceedings of the 10th International Modelica Conference, March 10-12, 2014, Lund, Sweden (Vol. 96, pp. 777–786). Linköping University Electronic Press. https://doi.org/10.3384/ecp14096777
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