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  4. Development of a Framework Based on PyFMI for Optimization and Fault Detection
 
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2014
Conference Paper
Titel

Development of a Framework Based on PyFMI for Optimization and Fault Detection

Abstract
In this article we describe a methodology and a tool chain that allows reusing simulation models for optimization and fault detection during building operation. We illustrate the integration of simulation models, set up in Modelica, in a Python environment using PyFMI. Then, considering as a demonstrator a complex energy supply system for a school campus in Germany, we show first results for the optimization of the ice storage management of that system. Finally, we discuss further applications of the described setup for offline and online fault detection, optimization and predictive control.
Author(s)
Böhme, G.
Réhault, N.
Hauptwerk
Human centred building(s)
Konferenz
BauSIM Konferenz 2014
International Building Performance Simulation Association (German-Austrian Conference) 2014
DOI
10.24406/publica-fhg-386159
File(s)
.pdf (480.38 KB)
Language
English
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Fraunhofer-Institut für Solare Energiesysteme ISE
Tags
  • Thermische Anlagen un...

  • Energieeffiziente Geb...

  • Betriebsführung von G...

  • optimization

  • operation

  • detection

  • FMU

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