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

: Böhme, G.; Réhault, N.

Fulltext urn:nbn:de:0011-n-3199340 (480 KByte PDF)
MD5 Fingerprint: 8d518314f4410645c28f05a1ff9d89ae
Created on: 14.1.2015

Treeck, Christoph van ; International Building Performance Simulation Association -IBPSA-, German Speaking Chapter:
Human centred building(s) : BauSIM 2014. 5th German-Austrian Conference of the International Building Performance Simulation Association. 22 – 24 September 2014 RWTH Aachen University, Germany
Aachen: IBPSA, 2014
ISBN: 978-3-00-047160-5
BauSIM Konferenz <5, 2014, Aachen>
International Building Performance Simulation Association (German-Austrian Conference) <5, 2014, Aachen>
Conference Paper, Electronic Publication
Fraunhofer ISE ()
Thermische Anlagen und Gebäudetechnik; Energieeffiziente Gebäude; Betriebsführung von Gebäuden; optimization; operation; detection; FMU

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.