Gerald Schweiger
Technical University of Graz, Graz, Austria
Cláudio Gomes
University of Antwerp, Antwerp, Belgium
Georg Engel
Technical University of Graz, Graz, Austria
Irene Hafner
dwh GmbH - Simulation Services und Technical Solutions, Vienna, Austria
Josef-Peter Schoegg
KTH Royal Institute of Technology, Stockholm, Sweden
Alfred Posch
University of Graz, Graz, Austria
Thierry Nouidui
Lawrence Berkeley National Laboratory, Berkeley, USA
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http://dx.doi.org/10.3384/ecp18154138Published in: Proceedings of The American Modelica Conference 2018, October 9-10, Somberg Conference Center, Cambridge MA, USA
Linköping Electronic Conference Proceedings 154:15, p. 138-146
Published: 2019-02-26
ISBN: 978-91-7685-148-7
ISSN: 1650-3686 (print), 1650-3740 (online)
Co-simulation is a promising approach for the analysis of complex, multi-domain systems, that leverages mature
simulation tools of the respective domains. It has been applied in many different disciplines in academia and industry,
with limited sharing of findings. With the increasing adoption of the FMI standard, researchers have set to work
on surveying the scattered knowledge on co-simulation in academia. This paper complements the existing surveys
by taking on the social and empirical aspect, corroborating, and prioritizing, previous findings. We focus on
understanding the perceived research challenges, and the current barriers, based on expert assessment. One of the
main barriers pointed out is the limited support for discrete event and hybrid co-simulation.
