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dc.contributor.authorVogler-Finck, Pierre
dc.contributor.authorClauß, John
dc.contributor.authorGeorges, Laurent
dc.contributor.authorSartori, Igor
dc.contributor.authorWisniewski, Rafael
dc.date.accessioned2019-11-18T11:03:05Z
dc.date.available2019-11-18T11:03:05Z
dc.date.created2019-09-14T21:46:21Z
dc.date.issued2019
dc.identifier.isbn978-3-030-00662-4
dc.identifier.urihttp://hdl.handle.net/11250/2628977
dc.description.abstractDynamical model identification is an essential element in the implementation of a model predictive controller. In this work, a control-oriented first order model was identified in a dedicated experiment on a super-insulated single-family house. First, parameters resulting from CTSM and the MATLAB System Identification toolbox were compared. Then, a comparison of model predictions and measurements showed that this simple model captures well the main dynamics of the building-averaged indoor temperature, after one week of training on rich data with sample time below 15 min. It was also observed that this prediction performance was not affected by the configuration of internal doors.nb_NO
dc.language.isoengnb_NO
dc.publisherSpringer Verlagnb_NO
dc.relation.ispartofCold Climate HVAC 2018 - Sustainable Buildings in Cold Climates
dc.titleInverse Model Identification of the Thermal Dynamics of a Norwegian Zero Emission Housenb_NO
dc.typeChapternb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.pagenumber533-543nb_NO
dc.identifier.cristin1724728
dc.description.localcodeThis is a post-peer-review, pre-copyedit version of an article published in [Cold Climate HVAC 2018 - Sustainable Buildings in Cold Climates] Locked until 12.12.2019 due to copyright restrictions. The final authenticated version is available online at: https://doi.org/10.1007/978-3-030-00662-4_44nb_NO
cristin.unitcode194,64,25,0
cristin.unitnameInstitutt for energi- og prosessteknikk
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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