Conference article

Using BCVTB for Co-Simulation between Dymola and MATLAB for Multi-Domain Investigations of Production Plants

Irene Hafner
Vienna University of Technology, Institute of Analysis and Scientific Computing, Wien, Austria

Matthias Rößler
Vienna University of Technology, Institute of Computer Aided Automation, Wien, Austria

Bernhard Heinzl
Vienna University of Technology, Institute of Computer Aided Automation, Wien, Austria

Andreas Körner
Vienna University of Technology, Institute of Analysis and Scientific Computing, Wien, Austria

Felix Breitenecker
Vienna University of Technology, Institute of Analysis and Scientific Computing, Wien, Austria

Michael Landsiedl
dwh Simulation Services, Wien, Austria

Wolfgang Kastner
Vienna University of Technology, Institute of Computer Aided Automation, Wien, Austria

Download articlehttp://dx.doi.org/10.3384/ecp12076557

Published in: Proceedings of the 9th International MODELICA Conference; September 3-5; 2012; Munich; Germany

Linköping Electronic Conference Proceedings 76:56, p. 557-564

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Published: 2012-11-19

ISBN: 978-91-7519-826-2

ISSN: 1650-3686 (print), 1650-3740 (online)

Abstract

This paper discusses the cooperative simulation of models implemented in Modelica; Simscape; Simulink and MATLAB for the aim of energy optimization in cutting factories. To simulate the thermal processes in production halls; the machines and the room itself have to be modelled in varying detail. To achieve a quite accurate comprehensive model; the individual machines and the room are modelled in different software and then simulated with the co-simulation tool BCVTB. The communication between the individual models requires a lot of preparative work and as can be seen at the end of the paper; it works fine for a fixed communication time step but is not possible with a continuous synchronization for all given software. Still; the possibilities of co-simulation with BCVTB can be found sufficient for the needs of thermal processes which react very slowly and not in time steps of hugely differing dimensions respectively; but require a period of time which can easily be approximated small enough for a certain scenario.

Keywords

co-simulation; BCVTB; energy optimization; Dymola/Modelica

References

[1] Wetter M. Building Controls Virtual Test Bed User Manual Version 1.1.0. Berkeley; California: Building Technologies Department; Environmental Energy Technologies Division; Lawrence Berkeley National Laboratory; 2012. Available from: http://simulationresearch.lbl.gov/bcvtb

[2] Heinzl B.; Rössler M. et al.. Studies on Multi-Domain Modelling and Thermal Coupling of a Machine Tool. Winterthur; Switzerland: ASIM 21. Symposium Simulationstechnik; 2011 ISBN: 978-3-905745-44-3

[3] Stevens W.R.; Fenner B.; Rudoff A.M.. Unix Network Programming: The Sockets Networking API; Vol 1. Addison-Wesley Professional; 2004 ISBN: 9780131411555

[4] Modelica Buildings Library V1.1. Available From: http://simulationresearch.lbl.gov/modelica

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