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dc.contributor.authorDžiugaitė-Tumėnienė, Rasa
dc.contributor.authorMikučionienė, Rūta
dc.contributor.authorStreckienė, Giedrė
dc.contributor.authorBielskus, Juozas
dc.date.accessioned2023-09-18T16:08:56Z
dc.date.available2023-09-18T16:08:56Z
dc.date.issued2021
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/111811
dc.description.abstractCalibration of the energy model of a building is one of the essential tasks required to determine the efficiency of building management systems, and both their own and other systems’ improvement potential. In order to make the building energy model as accurate as possible, it is necessary to collect comprehensive data on its operation and sometimes to assess the missing information. This paper represents the process of developing an energy model for an administrative building and its calibration procedure, using detailed long-term measurement and building management system (BMS) data. Indoor air temperature, CO₂ concentration, and relative humidity were experimentally measured and evaluated separately. Such dual application of data reduces the inaccuracy of the assumptions made and assesses the model’s accuracy. The DesignBuilder software developed the building model. During the development of the model, it was observed that the actual energy consumption needs to be assessed, as the assumptions made during the design about the operation and management of HVAC systems often do not coincide with the actual situation. After integrating BMS information on HVAC management into the building model, the resulting discrepancy between the model results and the actual heat consumption was 6.5%. Such a model can be further used to optimize management decisions and assess energy savings potential.eng
dc.formatPDF
dc.format.extentp. 1-24
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyScience Citation Index Expanded (Web of Science)
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbyINSPEC
dc.relation.isreferencedbyRePec
dc.relation.isreferencedbyJ-Gate
dc.relation.isreferencedbyGale's Academic OneFile
dc.relation.isreferencedbyCABI (abstracts)
dc.relation.isreferencedbyEI Compendex Plus
dc.rightsLaisvai prieinamas internete
dc.source.urihttps://www.mdpi.com/1996-1073/14/19/6419
dc.source.urihttps://talpykla.elaba.lt/elaba-fedora/objects/elaba:107364374/datastreams/MAIN/content
dc.titleDevelopment and analysis of a dynamic energy model of an office using a Building Management System (BMS) and actual measurement data
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.accessRightsThis article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
dcterms.licenseCreative Commons – Attribution – 4.0 International
dcterms.references53
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.facultyAplinkos inžinerijos fakultetas / Faculty of Environmental Engineering
dc.subject.researchfieldT 006 - Energetika ir termoinžinerija / Energy and thermoengineering
dc.subject.studydirectionE13 - Energijos inžinerija / Energy engineering
dc.subject.vgtuprioritizedfieldsAE0303 - Pastatų energetika / Building energetics
dc.subject.ltspecializationsL102 - Energetika ir tvari aplinka / Energy and a sustainable environment
dc.subject.enbuilding dynamic energy model
dc.subject.enBMS
dc.subject.enHVAC
dc.subject.enDesignBuilder
dc.subject.enmeasurements
dc.subject.enindoor climate parameters
dcterms.sourcetitleEnergies: Special issue: Sustainable energy technologies for transition to energy positive buildings
dc.description.issueiss. 19
dc.description.volumevol. 14
dc.publisher.nameMDPI
dc.publisher.cityBasel
dc.identifier.doi000809826700001
dc.identifier.doi10.3390/en14196419
dc.identifier.elaba107364374


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