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Experimental Long-Term Investigation of Model Predictive Heat Pump Control in Residential Buildings with Photovoltaic Power Generation

Title data

Kuboth, Sebastian ; Weith, Theresa ; Heberle, Florian ; Welzl, Matthias ; Brüggemann, Dieter:
Experimental Long-Term Investigation of Model Predictive Heat Pump Control in Residential Buildings with Photovoltaic Power Generation.
In: Energies. Vol. 13 (October 2020) Issue 22 . - No. 6016.
ISSN 1996-1073
DOI: https://doi.org/10.3390/en13226016

Official URL: Volltext

Project information

Project title:
Project's official titleProject's id
Graduiertenkolleg Energieautarke Gebäude of the TechnologieAllianzOberfranken (TAONo information
Open Access PublizierenNo information

Project financing: Bayerisches Staatsministerium für Wissenschaft, Forschung und Kunst

Abstract in another language

This article presents a 125-day experiment to investigate model predictive heat pump control. The experiment was performed in two parallel operated systems with identical components during the heating season. One of the systems was operated by a standard controller and thus represented a reference to evaluate the model predictive control. Both test rigs were heated by an air-source heat pump which is influenced by real weather conditions. A single-family house model depending on weather measurement data ensured a realistic heat consumption in the test rigs. The adapted model predictive control algorithm aimed to minimize the operational costs of the heat pump. The evaluation of the measurement results showed that the electrical energy demand of the heat pump can be reduced and the coefficient of performance can be increased by applying the model predictive controller. Furthermore, the self-consumption of photovoltaic electricity, which is calculated by means of a photovoltaic model and global radiation measurement data, was more than doubled. Consequently, the energy costs of heat pump operation were reduced by 9.0 in comparison to the reference and assuming German energy prices. The results were further compared to the scientific literature and short-term measurements were performed with the same experimental setup. The dependence of the measurement results on the weather conditions and the weather forecasting quality are shown. It was found that the duration of experiments should be as long as possible for a comprehensive evaluation of the model predictive control potential.

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: Building energy systems; Building energy management; Model predictive control (MPC); Heat pump; HVAC systems; PV self-consumption
Institutions of the University: Faculties > Faculty of Engineering Science > Chair Engineering Thermodynamics and Transport Processes
Faculties > Faculty of Engineering Science > Chair Engineering Thermodynamics and Transport Processes > Chair Engineering Thermodynamics and Transport Processes - Univ.-Prof. Dr.-Ing. Dieter Brüggemann
Profile Fields > Emerging Fields > Energy Research and Energy Technology
Research Institutions > Research Units > ZET - Zentrum für Energietechnik
Research Institutions > Affiliated Institutes > TechnologieAllianzOberfranken (TAO)
Graduate Schools > TAO-Graduiertenkolleg Energieautarke Gebäude
Faculties
Faculties > Faculty of Engineering Science
Profile Fields
Profile Fields > Emerging Fields
Research Institutions
Research Institutions > Research Units
Research Institutions > Affiliated Institutes
Graduate Schools
Result of work at the UBT: Yes
DDC Subjects: 600 Technology, medicine, applied sciences > 620 Engineering
Date Deposited: 24 Nov 2020 07:56
Last Modified: 25 May 2021 09:31
URI: https://eref.uni-bayreuth.de/id/eprint/60312