Michael Mans
Institute for Energy Efficient Buildings and Indoor Climate, E.ON Energy Research Center, RWTH Aachen University, Germany
Tobias Blacha
Institute for Energy Efficient Buildings and Indoor Climate, E.ON Energy Research Center, RWTH Aachen University, Germany
Peter Remmen
Institute for Energy Efficient Buildings and Indoor Climate, E.ON Energy Research Center, RWTH Aachen University, Germany
Dirk Müller
Institute for Energy Efficient Buildings and Indoor Climate, E.ON Energy Research Center, RWTH Aachen University, Germany
Ladda ner artikel
http://dx.doi.org/10.3384/ecp19157179Ingår i: Proceedings of the 13th International Modelica Conference, Regensburg, Germany, March 4–6, 2019
Linköping Electronic Conference Proceedings 157:18, s. 8
Publicerad: 2019-02-01
ISBN: 978-91-7685-122-7
ISSN: 1650-3686 (tryckt), 1650-3740 (online)
The current operation of district heating networks often relies on static analyses and control parameters. In the future, possible integration of renewable energy sources like solar or geothermal energy are getting more and more important. To investigate the impact of these new energy source in combination with new control strategies, dynamic simulation models for district heating and cooling systems are getting more important. However, these models are often large and therefore have large computation times and require manual effort to create and optimize them. Thus, this paper investigates in the simulation of a large and meshed district heating network. We present a workflow for automated generation and model simplification of simulation models based on GIS data. The validity of the model simplification is proven and the usability of the model is demonstrated by a Use Case with two different control strategies.
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