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Model-Predictive Control for Testing Energy Flexible Heat Pump Operation within a Hardware-in-the-Loop Setting

: Frison, L.; Kleinstück, M.; Engelmann, P.

Volltext urn:nbn:de:0011-n-5783270 (612 KByte PDF)
MD5 Fingerprint: 5169e48e9b2e5ec12ef7bffa97f42a90
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Erstellt am: 7.3.2020

Scartezzini, J.-L. ; Institute of Physics -IOP-, London:
CISBAT 2019. Climate resilient cities - energy efficiency & renewables in the digital era : 4-6 September 2019, EPFL Lausanne, Switzerland
Bristol: IOP Publishing, 2019 (Journal of physics. Conference series 1343)
ISBN: 978-1-5108-9783-0
Art. 012068, 7 S.
International Conference "Climate Resilient Cities - Energy Efficiency & Renewables in the Digital Era" (CISBAT) <15, 2019, Lausanne>
Konferenzbeitrag, Elektronische Publikation
Fraunhofer ISE ()
Thermische Systeme und Gebäudetechnik; heat pump; energieeffizientes Gebäude; Gebäudesystemtechnik

Model-predictive control is a smart control technique that can unlock the potential of the building's thermal production leading to improvements in energy efficiency or energy flexibility, which is obtained by a demand responsive operation based on external grid signals. This work explains the set-up of a Hardware-in-the-Loop experiment to test an energy flexible heat pump controller under realistic conditions. The developed simple, low-cost model-predictive control algorithm can easily be integrated with a traditional heat pump controller.