Explicit method to predict annual elevator energy consumption in recurring passenger traffic conditions

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorTukia, Toni
dc.contributor.authorUimonen, Semen
dc.contributor.authorSiikonen, Marja Liisa
dc.contributor.authorHakala, Harri
dc.contributor.authorDonghi, Claudio
dc.contributor.authorLehtonen, Matti
dc.contributor.departmentDepartment of Electrical Engineering and Automation
dc.contributor.departmentKONE Corporation Finland
dc.contributor.departmentKONE Technology and Innovation
dc.date.accessioned2018-12-21T10:31:34Z
dc.date.available2018-12-21T10:31:34Z
dc.date.embargoinfo:eu-repo/date/embargoEnd/2018-11-27
dc.date.issued2016-12-01
dc.description.abstractThis paper proposes a method for simple projecting of annual elevator electricity consumption based on short-term energy measurements and identifies challenges in the determination of actual energy consumption based on kWh meter readings. The study also analyzes the impact of the employed elevator technology, building type, and seasonal variations in elevator usage on the calculation of the annual consumption. Thus, the method can be adopted in different regions with varying elevator usage. The approach employs elevator specific daily energy consumptions measured on the prevailing day types. The reliability of the proposed approach was analyzed and the performance compared to actual measured annual consumption and estimates provided by commonly adopted energy efficiency classification schemes, VDI 4707-1:2009 and ISO 25745-2:2015. The results of the monitored office elevator indicated that the proposed method performs generally better than the competing approaches.en
dc.description.versionPeer revieweden
dc.format.extent10
dc.format.extent179-188
dc.format.mimetypeapplication/pdf
dc.identifier.citationTukia , T , Uimonen , S , Siikonen , M L , Hakala , H , Donghi , C & Lehtonen , M 2016 , ' Explicit method to predict annual elevator energy consumption in recurring passenger traffic conditions ' , Journal of Building Engineering , vol. 8 , pp. 179-188 . https://doi.org/10.1016/j.jobe.2016.08.004en
dc.identifier.doi10.1016/j.jobe.2016.08.004
dc.identifier.issn2352-7102
dc.identifier.otherPURE UUID: 7cac39f8-1798-46cb-a774-f8cba28f82cb
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/7cac39f8-1798-46cb-a774-f8cba28f82cb
dc.identifier.otherPURE LINK: http://www.scopus.com/inward/record.url?scp=84998610620&partnerID=8YFLogxK
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/30347240/ELEC_Tukia_etal_Explicit_Method_to_Predict_JBE_8_178.pdf
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/35677
dc.identifier.urnURN:NBN:fi:aalto-201812216686
dc.language.isoenen
dc.relation.ispartofseriesJournal of Building Engineeringen
dc.relation.ispartofseriesVolume 8en
dc.rightsopenAccessen
dc.subject.keywordElevators
dc.subject.keywordEnergy classification
dc.subject.keywordEnergy consumption
dc.subject.keywordOffice buildings
dc.subject.keywordStandby consumption
dc.subject.keywordTraffic profile
dc.titleExplicit method to predict annual elevator energy consumption in recurring passenger traffic conditionsen
dc.typeA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessäfi
dc.type.versionacceptedVersion
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