Session 5A - Testing

Title:	ScalableTestGrids - An Open-Source and Flexible Benchmark Suite to Assess Modelica Tool Performance on Large-Scale Power System Test Cases
Authors:	Francesco Casella and Adrien Guironnet
Abstract:	This paper introduces ScalableTestGrids, an open-source and flexible benchmark suite for assessing the performance of Modelica tools on large-scale power system test cases. The benchmark suite is built by using components from the PowerGrids library and generic utility scripts creating the final runnable Modelica models. It does not depend on confidential data; its structure makes any future needed modification or evolution easy and straightforward. Results obtained with the OpenModelica tool are also reported. The benchmark suite can be used by tool developers to assess the capability of their tools to handle large-scale power generation and transmission models.
Keywords:	Benchmark, Power System Simulation, Large-Scale Simulation, Performance, Open-Source
Paper:	full paper
Bibtex:	@InProceedings{modelica.org:Casella:2021, title = "{ScalableTestGrids - An Open-Source and Flexible Benchmark Suite to Assess Modelica Tool Performance on Large-Scale Power System Test Cases}", author = {Francesco Casella and Adrien Guironnet}, pages = {351--358}, doi = {10.3384/ecp21181351}, 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:	Continuous Development and Management of Credible Modelica Models
Authors:	Leo Gall, Martin Otter, Matthias Reiner, Matthias Schäfer and Jakub Tobolář
Abstract:	Modeling and simulation is more and more used in the design process in a wide area of applications. Rising demands and the complexity of modern products also increases the need for models and tools capable to cover areas such as virtual testing, design-space exploration or digital twins, and to provide measures of the quality of the models and the achieved results. In this article, we try to summarize the state-of-the-art and best-practice from the viewpoint of a Modelica language user, based on the experience gained in projects in which Modelica models have been utilized in the design process. Furthermore, missing features and gaps in the used processes are identified.
Keywords:	credible model, model requirement, data management, validation, verification, Modelica model
Paper:	full paper
Bibtex:	@InProceedings{modelica.org:Gall:2021, title = "{Continuous Development and Management of Credible Modelica Models}", author = {Leo Gall and Martin Otter and Matthias Reiner and Matthias Sch\"afer and Jakub Tobol\'a\v{r}}, pages = {359--372}, doi = {10.3384/ecp21181359}, 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:	Modeling of A Bearing Test Bench and Analysis of Defect Bearing Dynamics in Modelica
Authors:	Diwang Ruan, Zhirou Li and Clemens Gühmann
Abstract:	In data-driven bearing fault diagnosis, sufficient fault data is fundamental for algorithm training and validation, however, in most industry applications, only very few fault measurements can be provided, which brings bearing dynamics model as an alternative of experimental test bench to produce bearing response under defects. In this paper, a Modelica model for the whole bearing test rig was built, including test bearing, driving motor and hydraulic loading system. For the test bearing, a 5 degree-of-freedom (5-DoF) model was proposed to identify the normal bearing dynamics, and a fault model was employed to characterize defect position, defect size, defect shape and multiple defects. Theory and process to implement the virtual bearing test bench in Modelica were detailed, and 3 cases were conducted to validate the effectiveness of the proposed model.
Keywords:	Bearing Diagnosis, Fault Modeling, Modelica, Bearing Test Bench
Paper:	full paper
Bibtex:	@InProceedings{modelica.org:Ruan:2021, title = "{Modeling of A Bearing Test Bench and Analysis of Defect Bearing Dynamics in Modelica}", author = {Diwang Ruan and Zhirou Li and Clemens G\"uhmann}, pages = {373--382}, doi = {10.3384/ecp21181373}, 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:	Modelica Models as Integral Part of the Building Design Process
Authors:	Torsten Schwan, Monika Wicke, Alexander Hentschel and René Unger
Abstract:	The design process of buildings and energy supply systems consists of several steps with increasing accuracy and decreasing fault tolerance. Because of a wide range of unknowns and increasing complexity, Modelica models are often an integral part of the first design steps. However, there are only rare updates and reuse of these models in later phases and/or during building use. This paper emphasizes the potential of a continuous update and use of available Modelica models during all steps of building design processes. It therefore regards an example of a research greenhouse building for which the initially developed Modelica models were continuously updated and reused during the final phase of intensive scientific monitoring. Furthermore, general insights in latest scientific approaches indicate suitable steps of partly-automated continuous model updates during the whole building life span using BIM (Building Information Modeling).
Keywords:	Building Simulation, Monitoring, BIM Integration, Integral Design Processes
Paper:	full paper
Bibtex:	@InProceedings{modelica.org:Schwan:2021, title = "{Modelica Models as Integral Part of the Building Design Process}", author = {Torsten Schwan and Monika Wicke and Alexander Hentschel and Ren\'e Unger}, pages = {383--392}, doi = {10.3384/ecp21181383}, 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} }