Article | Proceedings of the 10<sup>th</sup> International Modelica Conference; March 10-12; 2014; Lund; Sweden | Industrial application of optimization with Modelica and Optimica using intelligent Python scripting Link�ping University Electronic Press Conference Proceedings
Göm menyn

Title:
Industrial application of optimization with Modelica and Optimica using intelligent Python scripting
Author:
Karin Dietl: Siemens AG, Energy Sector, Erlangen, Germany Stephanie Gallardo Yances: Siemens AG, Energy Sector, Erlangen, Germany Anna Anna: Lund University, Department of Automatic Control, Lund, Sweden Johan Åkesson: Modelon AB, Lund, Sweden Kilian Link: Siemens AG, Energy Sector, Erlangen, Germany Stéphane Velut: Modelon AB, Lund, Sweden
DOI:
10.3384/ecp14096777
Download:
Full text (pdf)
Year:
2014
Conference:
Proceedings of the 10th International Modelica Conference; March 10-12; 2014; Lund; Sweden
Issue:
096
Article no.:
081
Pages:
777-786
No. of pages:
10
Publication type:
Abstract and Fulltext
Published:
2014-03-10
ISBN:
978-91-7519-380-9
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press; Linköpings universitet


Export in BibTex, RIS or text

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.

Keywords: Dynamic optimization; Nonlinear Model Predictive Control; Extended Kalman Filter

Proceedings of the 10th International Modelica Conference; March 10-12; 2014; Lund; Sweden

Author:
Karin Dietl, Stephanie Gallardo Yances, Anna Anna, Johan Åkesson, Kilian Link, Stéphane Velut
Title:
Industrial application of optimization with Modelica and Optimica using intelligent Python scripting
DOI:
http://dx.doi.org/10.3384/ecp14096777
References:

[1] JModelica.org, http://jmodelica.org/, viewed 2013-12-05.

[2] Python Software Foundation. Python Programming Language - Official Website, http://www.python.org/, 2012, viewed 2013-12-05

[3] A. Johnsson, Nonlinear Model Predictive Control for Combined Cycle Power Plants, Master’s Thesis, Lund University, Department of Automatic Control, 2013.

[4] C. Andersson, S. Gedda, J. Akesson, S. Diehl, Derivative-free Parameter Optimization of Functional Mock-up Units, 9th International Modelica Conference, Munich, Germany, 2012.

[5] Lie, B., Haugen Finn, Scripting Modelica Using Python, Telemark University College, Porsgrunn, Norway, 2012

[6] A. Lind, E. Sällberg, S. Velut, S. Gallardo Yances, J. Åkesson, K. Link: Start-up Optimization of a Combined Cycle Power Plant, Proceedings of the 9th International MODELICA Conference, September 3-5, 2012, Munich, Germany

[7] https://www.modrio.org/

[8] https://openmodelica.org/

[9] J. Åkesson, Optimica—An Extension of Modelica Supporting Dynamic Optimization, 6th International Modelica Conference 2008, Modelica Association, March 2008.

[10] GnuPlot, http://www.gnuplot.info/, viewed 2013-12-05.

[11] MatPlotLib, http://matplotlib.org/, viewed 2013-12-05.

[12] SciPy, http://www.scipy.org, viewed 2013-12-05.

[13] Numpy, http://www.numpy.org/, viewed 2013-12-05.

[14] The JModelica.org User Guide, http://www.jmodelica.org/apidocs/usersguide/JModelicaUsersGuide-1.11.0.pdf, viewed 2013-12-05.

[15] E. Haselting, J. Rawlings, A Critical Evaluation of Extended Kalman Filtering and Moving Horizon Estimation, http://jbrwww.che.wisc.edu/techreports/twmcc-2002-03.pdf, 2003, viewed: 2013-05-07.

[16] The FMI-standard, https://www.fmistandard.org/, viewed 2014-01-21.

Proceedings of the 10th International Modelica Conference; March 10-12; 2014; Lund; Sweden

Author:
Karin Dietl, Stephanie Gallardo Yances, Anna Anna, Johan Åkesson, Kilian Link, Stéphane Velut
Title:
Industrial application of optimization with Modelica and Optimica using intelligent Python scripting
DOI:
http://dx.doi.org/10.3384/ecp14096777
Note: the following are taken directly from CrossRef
Citations:
No citations available at the moment


Responsible for this page: Peter Berkesand
Last updated: 2018-9-11