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Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-15641
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dc.contributor.authorJakobi, Marc-
dc.contributor.authorKunath, Lars-
dc.contributor.authorStöckli, Urs-
dc.contributor.authorWitzig, Andreas-
dc.date.accessioned2019-02-25T15:09:40Z-
dc.date.available2019-02-25T15:09:40Z-
dc.date.issued2018-
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/15641-
dc.description.abstractThis contribution demonstrates the application of a building information modeling (BIM) use case including solar thermal collectors, photovoltaics (PV) and passive solar heating. It aims to close the performance gap that results from inconsistencies between the individual planning phases. Furthermore, it is shown how the pairing of the building project with a digital twin allows to set up predictive maintenance services and minimize the downtime of heating systems. Simulation software is used to create coupled models of the building and its facilities. For a case of PV combined with a heat pump and passive solar heating, this paper shows how the digital model is continuously and automatically updated as conditions change. With a focus on the building’s energy demand, control parameters are optimized in alignment with the hardware. Thus, the energy demand is kept within the close range of the original estimation throughout the standard planning phases.de_CH
dc.language.isoende_CH
dc.publisherInternational Solar Energy Societyde_CH
dc.rightshttp://creativecommons.org/licenses/by/4.0/de_CH
dc.subjectBuilding information modelingde_CH
dc.subjectEnergieeffizienzde_CH
dc.subjectDigital twinde_CH
dc.subjectSimulationde_CH
dc.subjectPVde_CH
dc.subjectHeat pumpde_CH
dc.subjectBuilding information modeling (BIM)de_CH
dc.subjectDigital twinde_CH
dc.subjectSimulationde_CH
dc.subjectPredictive maintenancede_CH
dc.subjectRemote fault rectificationde_CH
dc.subject.ddc690: Hausbau und Bauhandwerkde_CH
dc.titleBIM use-case : model-based performance optimizationde_CH
dc.typeKonferenz: Paperde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitute of Computational Physics (ICP)de_CH
dc.identifier.doi10.18086/eurosun2018.11.07de_CH
dc.identifier.doi10.21256/zhaw-15641-
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.publication.statuspublishedVersionde_CH
zhaw.publication.reviewPeer review (Abstract)de_CH
zhaw.title.proceedingsEuroSun 2018 Conference Proceedingsde_CH
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Jakobi, M., Kunath, L., Stöckli, U., & Witzig, A. (2018). BIM use-case : model-based performance optimization. EuroSun 2018 Conference Proceedings. https://doi.org/10.18086/eurosun2018.11.07
Jakobi, M. et al. (2018) ‘BIM use-case : model-based performance optimization’, in EuroSun 2018 Conference Proceedings. International Solar Energy Society. Available at: https://doi.org/10.18086/eurosun2018.11.07.
M. Jakobi, L. Kunath, U. Stöckli, and A. Witzig, “BIM use-case : model-based performance optimization,” in EuroSun 2018 Conference Proceedings, 2018. doi: 10.18086/eurosun2018.11.07.
JAKOBI, Marc, Lars KUNATH, Urs STÖCKLI und Andreas WITZIG, 2018. BIM use-case : model-based performance optimization. In: EuroSun 2018 Conference Proceedings. Conference paper. International Solar Energy Society. 2018
Jakobi, Marc, Lars Kunath, Urs Stöckli, and Andreas Witzig. 2018. “BIM Use-Case : Model-Based Performance Optimization.” Conference paper. In EuroSun 2018 Conference Proceedings. International Solar Energy Society. https://doi.org/10.18086/eurosun2018.11.07.
Jakobi, Marc, et al. “BIM Use-Case : Model-Based Performance Optimization.” EuroSun 2018 Conference Proceedings, International Solar Energy Society, 2018, https://doi.org/10.18086/eurosun2018.11.07.


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