Papers by Marcus Wiens

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} }

Title:	Python Framework for Wind Turbines Enabling Test Automation of MoWiT
Authors:	Johannes Fricke, Marcus Wiens, Niklas Requate and Mareike Leimeister
Abstract:	The development and simulation of engineering systems, especially wind turbines, is becoming increasingly complex and elaborate. At the Fraunhofer Institute for Wind Energy Systems (IWES), the in-house developed tool MoWiT (Modelica library for Wind Turbines) is being developed for load simulation. MoWiT is based on Modelica and is constantly evolving. It is, thus, also becoming more and more enhanced. This results in an increased need for automation for the complex simulation setups and a need for quality assurance of simulation code used. Test automation is used to always ensure the quality of the code. The automation of various simulations and the test automation for the load simulation code are provided by PyWiT (Python Framework for Wind Turbines), which will be presented here in more detail.
Keywords:	Modelica, MoWiT, Python, Wind Turbines, Test Automation
Paper:	full paper
Bibtex:	@InProceedings{modelica.org:Fricke:2021, title = "{Python Framework for Wind Turbines Enabling Test Automation of MoWiT}", author = {Johannes Fricke and Marcus Wiens and Niklas Requate and Mareike Leimeister}, pages = {403--409}, doi = {10.3384/ecp21181403}, 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} }