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Titel: Energy optimization of a residential building using model predictive control - A case study in temperate oceanic climate
VerfasserIn: Usman, Muhammad
Minhas, Daud Mustafa
Frey, Georg
Sprache: Englisch
Titel: 2022 International Conference on Electrical, Computer and Energy Technologies (ICECET)
Seiten: 1-6
Verlag/Plattform: IEEE
Erscheinungsjahr: 2022
Konferenzort: Prague, Czech Republic
Freie Schlagwörter: Thermal variables control
Simulation
Predictive models
Windows
Thermal loading
Optimization
Building services
DDC-Sachgruppe: 600 Technik
Dokumenttyp: Konferenzbeitrag (in einem Konferenzband / InProceedings erschienener Beitrag)
Abstract: This study presents a Model Predictive Control (MPC) framework for energy optimization in a residential building. A Dynamic control of the building service system is designed using a coupling between TRNSYS software for building simulation and Python for optimal control. Firstly, a predictive model is developed for building thermal load considering boundary conditions and time-varying uncertainties. An MPC-based supervisory controller in Python script interacts with local controllers in TRNSYS at the beginning of each time step. The supervisory controller calculates the control variable, corresponding to the minimum energy demand and desired thermal comfort. A geothermal brine-to-water heat pump is used with thermal energy storage and cooling water coils to serve the thermal load of the building. The optimization framework is employed in a single-family household in Saarbrücken, a temperate oceanic climate, for three months (January, June, and October). MPC calculates the optimal values of window shading fraction and reference set points of local PID controllers in TRNSYS. The simulation results show that MPC-based dynamic control of the building service system significantly improves the energy performance of the building without compromising thermal comfort.
DOI der Erstveröffentlichung: 10.1109/ICECET55527.2022.9872555
URL der Erstveröffentlichung: https://ieeexplore.ieee.org/document/9872555
Link zu diesem Datensatz: urn:nbn:de:bsz:291--ds-380797
hdl:20.500.11880/34532
http://dx.doi.org/10.22028/D291-38079
Datum des Eintrags: 29-Nov-2022
Fakultät: NT - Naturwissenschaftlich- Technische Fakultät
Fachrichtung: NT - Systems Engineering
Professur: NT - Prof. Dr. Georg Frey
Sammlung:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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