Christoph Nytsch-Geusen
Institut für Architektur und Städtebau, Berlin University of the Arts, Germany
Alexander Inderfurth
Institut für Architektur und Städtebau, Berlin University of the Arts, Germany
Werne Kaul
Institut für Architektur und Städtebau, Berlin University of the Arts, Germany
Katharina Mucha
Institut für Architektur und Städtebau, Berlin University of the Arts, Germany
Jörg Rädler
Institut für Architektur und Städtebau, Berlin University of the Arts, Germany
Matthis Thorade
Institut für Architektur und Städtebau, Berlin University of the Arts, Germany
Carles Ribas Tugores
Institut für Architektur und Städtebau, Berlin University of the Arts, Germany
Ladda ner artikel
http://dx.doi.org/10.3384/ecp17132199Ingår i: Proceedings of the 12th International Modelica Conference, Prague, Czech Republic, May 15-17, 2017
Linköping Electronic Conference Proceedings 132:20, s. 199-207
Publicerad: 2017-07-04
ISBN: 978-91-7685-575-1
ISSN: 1650-3686 (tryckt), 1650-3740 (online)
This contribution describes an approach for a template based code generation for different detailed Modelica models for building energy simulation (BES).
The information from several data sources, which describe the building geometry, the building construction, the building location and the building itself, is used to fill a building data model. This intermediate data structure is still independent of a certain building simulation tool.
A new developed tool for template based code generation (CoTeTo) uses the building data model and combines it with a set of different code generators, which are able to generate Modelica building models with a different level of detail: Strong simplified loworder building models for district energy simulation with a large population of buildings, more advanced multi-zone building models for building energy simulation and 3D space resolved room models for a detailed indoor climate analysis.
Three case studies for the mentioned building model types demonstrate the code generation approach.
Building energy simulation, adapted model level of detail, Modelica code generation
Inga referenser tillgängliga
