Roland Samlaus
Fraunhofer Institute for Wind Energy and Energy System Technology IWES, Germany
Peter Fritzson
Dept. of Computer and Information Science, Linköpings universitet, Sweden
Adam Zuga
Fraunhofer Institute for Wind Energy and Energy System Technology IWES, Germany
Michael Strobel
Fraunhofer Institute for Wind Energy and Energy System Technology IWES, Germany
Claudio Hillmann
Fraunhofer Institute for Wind Energy and Energy System Technology IWES, Germany
Download articlehttp://dx.doi.org/10.3384/ecp12076809Published in: Proceedings of the 9th International MODELICA Conference; September 3-5; 2012; Munich; Germany
Linköping Electronic Conference Proceedings 76:83, p. 809-818
Published: 2012-11-19
ISBN: 978-91-7519-826-2
ISSN: 1650-3686 (print), 1650-3740 (online)
At Fraunhofer Institute for Wind Energy and Energy System Technology IWES a simulation software for offshore wind farms is being developed; concentrating on the ability to define physical models at different levels of detail. Therefore parameterizable models representing parts of wind turbines are defined that can be transformed for various purposes like simulation with Finite Element Method (FEM) tools or Modelica solvers. This paper describes the concepts of purely parametric physical models and code generation. It is elucidated how models of different complexity can be transformed into each other by model driven development techniques. Thereby the focus is set on the generation of Modelica code and it is explained how the use of Modelica libraries simplifies the generation of simulatable code. During the development of generators for Modelica; issues arose regarding type compatibility of arrays with different sizes when using polymorphism. These issues are explained by an example and possible enhancements for the Modelica language are suggested.
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