%0 Conference Paper %1 dietl2014industrial %A Dietl, Karin %A Yances, Stephanie Gallardo %A Johnsson, Anna %A Åkesson, Johan %A Link, Kilian %A Velut, Stéphane %B Proceedings of the 10th International Modelica Conference, March 10-12, 2014, Lund, Sweden %D 2014 %I Linköping University Electronic Press %K 2014 Modelica Python optimization power-plant scripting %R 10.3384/ecp14096777 %T Industrial application of optimization with Modelica and Optimica using intelligent Python scripting %U http://dx.doi.org/10.3384/ECP14096777 %X This paper shows how different kinds of optimization 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.

@inproceedings{dietl2014industrial, abstract = {This paper shows how different kinds of optimization 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.}, added-at = {2014-11-26T10:28:53.000+0100}, author = {Dietl, Karin and Yances, Stephanie Gallardo and Johnsson, Anna and Åkesson, Johan and Link, Kilian and Velut, Stéphane}, biburl = {https://www.bibsonomy.org/bibtex/20f78e7a619185d4426bf5887426a7e06/thorade}, booktitle = {Proceedings of the 10th International Modelica Conference, March 10-12, 2014, Lund, Sweden}, doi = {10.3384/ecp14096777}, interhash = {621b58d52bf77b50bf5d27d7e8f4ed13}, intrahash = {0f78e7a619185d4426bf5887426a7e06}, keywords = {2014 Modelica Python optimization power-plant scripting}, publisher = {Linköping University Electronic Press}, timestamp = {2014-11-26T11:01:54.000+0100}, title = {Industrial application of optimization with Modelica and Optimica using intelligent Python scripting}, url = {http://dx.doi.org/10.3384/ECP14096777}, year = 2014 }