Investigating communication and step-size behaviour for co-simulation of hybrid physical systems |
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| Institution: | 1. Vienna University of Technology, Institute of Analysis and Scientific Computing, Wiedner Hauptstr. 8-10, 1040 Wien, Austria;2. Vienna University of Technology, Institute of Computer Aided Automation, Favoritenstr. 9-11, 1040 Wien, Austria;3. dwh Simulation Services, Neustiftgasse 57-59, 1070 Wien, Austria;1. Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand;2. Department of Biochemistry, Faculty of Science, Kasetsart University, Bangkok, Thailand;3. Center of Excellence in Clinical Virology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand;1. Department of Computer Engineering, Modeling, Electronics and Systems Science (DIMES), University of Calabria, Via P. Bucci 41C, 87036 Rende, CS, Italy;2. Institute for Statics and Dynamics of Aerospace Structures, University of Stuttgart, Pfaffenwaldring 27, D-70569 Stuttgart, Germany;1. 39, 14-th Line, St. Petersburg 199178, Russia;2. Department of Modelling and Simulation, Riga Technical University, Kalku Street 1, LV-1658 Riga, Latvia |
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| Abstract: | This paper discusses the method of cooperative simulation of discrete and continuous models with the Building Controls Virtual Test Bed, a software environment that allows coupling different simulation programs. In the course of a project aiming the energy optimization in cutting factories, models of machines of differing complexity and a building containing them have to be implemented to further simulate the thermal processes. Since all partial models require individual modelling approaches, solver time steps, solvers or even simulators, the method of co-simulation is considered. The partial models will be implemented with Modelica, MATLAB, Simulink and Simscape and accessed with the co-simulation tool BCVTB. The simulation results show that this method of co-simulation can be sufficient for the needs of describing thermal systems with large time constants but has to be found insufficient for simulations requiring high accuracy and variable step solvers in the overall simulation. |
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| Keywords: | Co-simulation Energy optimization Thermodynamics MATLAB Dymola |
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