Article | Proceedings of the 8th International Modelica Conference; March 20th-22nd; Technical Univeristy; Dresden; Germany | Fluid Simulation and Optimization using Open Source Tools Linköping University Electronic Press Conference Proceedings
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Title:
Fluid Simulation and Optimization using Open Source Tools
Author:
Kilian Link: Siemens AG, Germany Stéphane Vogel: Siemens AG, Germany Ines Mynttinen: Technical University Ilmenau, Germany
DOI:
10.3384/ecp11063454
Download:
Full text (pdf)
Year:
2011
Conference:
Proceedings of the 8th International Modelica Conference; March 20th-22nd; Technical Univeristy; Dresden; Germany
Issue:
063
Article no.:
050
Pages:
454-460
No. of pages:
7
Publication type:
Abstract and Fulltext
Published:
2011-06-30
ISBN:
978-91-7393-096-3
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press; Linköpings universitet


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Many open-source (OS) tools exist in the Modelica universe. OS tools have the benefit that they are freely available and fit well to Modelica as a non-proprietary language. However; the industrial usage of these tools seems to be very limited so far. De-spite this fact; fluid modeling is possible if restrictions are taken into account.

In this contribution; we propose to use benchmark models for the systematic investigation of the accuracy and the performance of Modelica OS tools. The present implementation circumvents the limitations of OpenModelica making it possible to simulate the model system despite existing restrictions. Beside simulation tasks Modelica-based optimization is possible using the OS tool JModelica. However; care must be taken with respect to the model features. In particular instantaneous transitions within the system dynamics; such as phase transitions; switching of valves with discrete behaviour or flow reversal represent a severe obstacle for optimization. In this article; we present a parameter estimation problem including instantaneous changes of the flow direction. In addition; an example of model predictive control (MPC) for a control task difficult to solve with con-ventional methods is shown.

Keywords: Fluid Simulation; Optimization; OS Modelica Tools

Proceedings of the 8th International Modelica Conference; March 20th-22nd; Technical Univeristy; Dresden; Germany

Author:
Kilian Link, Stéphane Vogel, Ines Mynttinen
Title:
Fluid Simulation and Optimization using Open Source Tools
DOI:
http://dx.doi.org/10.3384/ecp11063454
References:

[1] www.energy.siemens.com

[2] www.openmodelica.org

[3] www.jmodelica.org

[4] Miyagawa; K.; Hill; P.G.; Tabular Taylor Se-ries Expansion (TTSE) Method Based on IAPWS-IF97 Double Precision Enthalpy-Density Version; IAPWS Task Group TTSE; 2001-07-13 I. Weber; K. Knobloch; I. Kodl; H.-J. Kretzschmar; Test Report Of „Documenta-tion and Software of TTSE Method applied to IAPWS-98 as an Example“; TTSE Evalua-tion Task Group; July 2002

[5] Tummescheit H. Design and Implementation of Object-Oriented Model Libraries using Modelica. Lund; Sweden: PhD thesis; De-partment of Automatic control; Lund Insti-tute of Technology; 2002.

[6] Mynttinen; I. and Li; P.: A Reformulation Scheme for Parameter Estimation of Hybrid Systems. ESCAPE 2010; submitted

[7] J. Till; S. Engell; S.Panek; O. Stursberg ; “Applied hybrid system optimization: An empirical investigation of complexity;” Con-trol Eng. Pract.; vol. 12; pp. 1291–1303; 2004.

[8] B. T. Baumrucker; L. T. Biegler; “MPEC strategies for optimization of a class of hy-brid dynamic systems;” J. Process Contr.; vol. 19; pp. 1248–1256; 2009.

[9] J. M. M. Tamimi. Development of Efficient Algorithm for Model predictive Control of Fast Systems; PhD thesis; Technical Univer-sity Ilmenau; 2011

[10] JModelica 1.4.0 User Guide; http://www.jmodelica.org/api-docs/usersguide/1.4.0; Modelon AB 2010.

[11] www.openprod.org

Proceedings of the 8th International Modelica Conference; March 20th-22nd; Technical Univeristy; Dresden; Germany

Author:
Kilian Link, Stéphane Vogel, Ines Mynttinen
Title:
Fluid Simulation and Optimization using Open Source Tools
DOI:
https://doi.org10.3384/ecp11063454
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Last updated: 2019-11-06