Papers by Philipp Thomas

Title:	The Potential of FMI for the Development of Digital Twins for Large Modular Multi-Domain Systems
Authors:	Marcus Wiens, Tobias Meyer and Philipp Thomas
Abstract:	Digital twins enable the observation, prediction, and optimization of a physical system and thus allow to realize their full potential. However, their functionality is mainly based on simulation models of the entire system behavior. For modular multi-domain systems, this requires the extensive use of dynamically composed models that are made up of individual component models. The FMI-Standard forms a solid foundation for this problem and is very well known in the automotive engineering fields. However, composed system models using FMI are not widely adapted in renewable energy and wind energy yet. So far, the coupling of simulation models is limited. This paper discusses the strategy of building digital twins from individual FMUs with predefined model interfaces based on an ontology for renewable energy systems. An accelerated development is enabled by the exchange of sub-models in the digital twin without adjustments of interface. An example for the proposed process is given by the composed simulation model of a hydrogen generation process based on wind energy.
Keywords:	Digital Twin, Functional Mockup Unit, Wind Energy, Renewable Energy, Ontology
Paper:	full paper
Bibtex:	@InProceedings{modelica.org:Wiens:2021, title = "{The Potential of FMI for the Development of Digital Twins for Large Modular Multi-Domain Systems}", author = {Marcus Wiens and Tobias Meyer and Philipp Thomas}, pages = {235--240}, doi = {10.3384/ecp21181235}, booktitle = {Proceedings of the 14th International Modelica Conference}, location = {Link\"oping, Sweden}, editor = {Martin Sj\"olund and Lena Buffoni and Adrian Pop and Lennart Ochel}, isbn = {978-91-7929-027-6}, issn = {1650-3740}, month = sep, series = {Link\"oping Electronic Conference Proceedings}, number = {181}, publisher = {Modelica Association and Link\"oping University Electronic Press}, year = {2021} }