.ScalableTestSuite

Information

This library contains a collection of Modelica models whose size can be scaled by means of integer parameter(s). This is useful to test the ability of Modelica tools to compile and simulate models of increasing size efficiently.

The library contains examples with a physical motivation, which are also verified against known analytical solutions wherever possible, as well as elementary models to stress some specific features of the Modelica tools.

In some cases, when feasible, two mathematically equivalent models are provided, one built by raw equations and the other one built using the Modelica Standard Library. This makes it possible to evaluate how efficiently the Modelica tool can handle the overhead of a modular description both in terms of compilation time, which might be higher due to additional processing, and of simulation time, which should be the same.

This work was originally inspired by discussion at the 2014 EOOLT Workshop in Berlin. Version 1.0.0 is the outcome of Kaan Sezginer's master's thesis work at Politecnico di Milano, under the supervision of prof. Francesco Casella. It is expected that the library grows and becomes a reference for the community.

The master branch of the library is hosted on GitHub. Please contact Francesco Casella or directly submit a pull request if you want to contribute to the library.

Main Authors

• Kaan Sezginer
• Francesco Casella
• Thomas Beutlich

Copyright © 2015-2022 Francesco Casella, Kaan Sezginer, ESI Group

All rights reserved.

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Contents

Name	Description
Elementary	Elementary models to stress some aspects of the tool
Electrical	Models from the electrical domain
Mechanical	Models from the mechanical domain
Power
Thermal	Models from the thermal domain