Bitte benutzen Sie diese Kennung, um auf die Ressource zu verweisen:
https://doi.org/10.21256/zhaw-3296
Publikationstyp: | Konferenz: Paper |
Art der Begutachtung: | Peer review (Abstract) |
Titel: | Model predictive control for building automation |
Autor/-in: | Bolt, Peter Ziebart, Volker Jaeger, Christian Ritzmann, Remo Meier, Olaf Füchslin, Rudolf Marcel |
DOI: | 10.21256/zhaw-3296 10.18086/eurosun2018.11.05 |
Tagungsband: | EuroSun 2018 : conference proceedings |
Seite(n): | 1330 |
Seiten bis: | 1341 |
Angaben zur Konferenz: | 12th International Conference on Solar Energy and Buildings (EuroSun 2018), Rapperswil, 10-13 September 2018 |
Erscheinungsdatum: | 2018 |
Verlag / Hrsg. Institution: | International Solar Energy Society |
ISBN: | 978-3-9820408-0-6 |
Sprache: | Englisch |
Schlagwörter: | PVT; MPC; Unscented Kalman Filter; Modelica |
Fachgebiet (DDC): | 621.3: Elektro-, Kommunikations-, Steuerungs- und Regelungstechnik |
Zusammenfassung: | We propose a building HVAC system, integrating local energy production and storage, together with a model based controller. The heating system integrates several local heat production and storage devices and multiple fluid circuits at different temperatures to minimize entropy production through mixing. The controller uses a model of the System and predictive knowledge of demand and weather information to minimize electrical energy import, while maintaining thermal comfort by solving mixed integer optimization problems online. Time-varying and unknown system parameters are estimated and adapted online, using an unscented Kalman filter. The adaptation greatly reduces modeling effort and maintenance cost. The proposed setup is tested in a co-simulation, using a physical (modelica-) model of the building and energy system as well as realistic weather and demand data. Our system delivers nearly seven times more energy in the form of heat, than it needs to import (electrical) energy from external sources. |
Weitere Angaben: | © 2018. The Authors |
URI: | https://digitalcollection.zhaw.ch/handle/11475/16903 |
Volltext Version: | Publizierte Version |
Lizenz (gemäss Verlagsvertrag): | Lizenz gemäss Verlagsvertrag |
Departement: | School of Engineering |
Organisationseinheit: | Institut für Angewandte Mathematik und Physik (IAMP) |
Enthalten in den Sammlungen: | Publikationen School of Engineering |
Dateien zu dieser Ressource:
Datei | Beschreibung | Größe | Format | |
---|---|---|---|---|
eurosun2018-0154-Bolt.pdf | Model Predictive Control for Building Automation | 1.41 MB | Adobe PDF | Öffnen/Anzeigen |
Zur Langanzeige
Bolt, P., Ziebart, V., Jaeger, C., Ritzmann, R., Meier, O., & Füchslin, R. M. (2018). Model predictive control for building automation [Conference paper]. EuroSun 2018 : Conference Proceedings, 1330–1341. https://doi.org/10.21256/zhaw-3296
Bolt, P. et al. (2018) ‘Model predictive control for building automation’, in EuroSun 2018 : conference proceedings. International Solar Energy Society, pp. 1330–1341. Available at: https://doi.org/10.21256/zhaw-3296.
P. Bolt, V. Ziebart, C. Jaeger, R. Ritzmann, O. Meier, and R. M. Füchslin, “Model predictive control for building automation,” in EuroSun 2018 : conference proceedings, 2018, pp. 1330–1341. doi: 10.21256/zhaw-3296.
BOLT, Peter, Volker ZIEBART, Christian JAEGER, Remo RITZMANN, Olaf MEIER und Rudolf Marcel FÜCHSLIN, 2018. Model predictive control for building automation. In: EuroSun 2018 : conference proceedings. Conference paper. International Solar Energy Society. 2018. S. 1330–1341. ISBN 978-3-9820408-0-6
Bolt, Peter, Volker Ziebart, Christian Jaeger, Remo Ritzmann, Olaf Meier, and Rudolf Marcel Füchslin. 2018. “Model Predictive Control for Building Automation.” Conference paper. In EuroSun 2018 : Conference Proceedings, 1330–41. International Solar Energy Society. https://doi.org/10.21256/zhaw-3296.
Bolt, Peter, et al. “Model Predictive Control for Building Automation.” EuroSun 2018 : Conference Proceedings, International Solar Energy Society, 2018, pp. 1330–41, https://doi.org/10.21256/zhaw-3296.
Alle Ressourcen in diesem Repository sind urheberrechtlich geschützt, soweit nicht anderweitig angezeigt.