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Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-3296
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dc.contributor.authorBolt, Peter-
dc.contributor.authorZiebart, Volker-
dc.contributor.authorJaeger, Christian-
dc.contributor.authorRitzmann, Remo-
dc.contributor.authorMeier, Olaf-
dc.contributor.authorFüchslin, Rudolf Marcel-
dc.date.accessioned2019-04-26T17:08:49Z-
dc.date.available2019-04-26T17:08:49Z-
dc.date.issued2018-
dc.identifier.isbn978-3-9820408-0-6de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/16903-
dc.description© 2018. The Authorsde_CH
dc.description.abstractWe 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.de_CH
dc.language.isoende_CH
dc.publisherInternational Solar Energy Societyde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectPVTde_CH
dc.subjectMPCde_CH
dc.subjectUnscented Kalman Filterde_CH
dc.subjectModelicade_CH
dc.subject.ddc621.3: Elektro-, Kommunikations-, Steuerungs- und Regelungstechnikde_CH
dc.titleModel predictive control for building automationde_CH
dc.typeKonferenz: Paperde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Angewandte Mathematik und Physik (IAMP)de_CH
dc.identifier.doi10.21256/zhaw-3296-
dc.identifier.doi10.18086/eurosun2018.11.05de_CH
zhaw.conference.details12th International Conference on Solar Energy and Buildings (EuroSun 2018), Rapperswil, 10-13 September 2018de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end1341de_CH
zhaw.pages.start1330de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.publication.reviewPeer review (Abstract)de_CH
zhaw.title.proceedingsEuroSun 2018 : conference proceedingsde_CH
zhaw.webfeedErneuerbare Energiende_CH
zhaw.webfeedSimulation and Optimizationde_CH
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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.


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