Co-Simulation - An Empirical Survey: Applications, Recent Developments and Future Challenges

Abstract

This article describes the first results of an empirical survey on co-simulation conducted with over 50 experts in this field. In the last decades, cosimulation has become an important tool to meet challenges emerging from the increasing complexity of systems and the need for efficient collaboration between experts in different disciplines. However, research on this topic has been motivated by varying fields of interest and developed with different perspectives on application and thus lead to different definitions and emphases within this topic. The present survey aims to clarify some of these different perceptions and open research fields.

In-situ empirical validation of common indoor climate parameters in an inhabited multizone dwelling

“…The resulting co-simulation framework (i) is hard to extend or customise, (ii) can cause model inaccuracies and long computation times and (iii) most often adds redundancy to the modelling chain (i.e. since several parameters have to be entered more than once by the modeller) (Schweiger et al, 2020). Additionally, the fact that some software (such as CONTAM and TRNSYS) are not open-source has considerable disadvantages for research purposes and model development.…”