Data-driven building energy benchmark modeling for bank branches under different climate conditions

Basit Öğe Kaydı
dc.authoridKükrer, Ergin/0000-0002-2933-1474|AKER, TUGCE/0000-0001-8091-7633
dc.authorwosidKükrer, Ergin/M-1704-2019
dc.contributor.authorKukrer, Ergin
dc.contributor.authorAker, Tugce
dc.contributor.authorEskin, Nurdil
dc.date.accessioned2024-07-18T20:42:47Z
dc.date.available2024-07-18T20:42:47Z
dc.date.issued2023
dc.departmentİstanbul Bilgi Üniversitesien_US
dc.description.abstractEnergy benchmarking in buildings is a significant analytical method to determine and classify the energy performance of buildings. The objective of the present paper is to establish a compre-hensive data-driven energy benchmark model for banking buildings. In this context, 587 bank branches are selected to cover every climatic region in Turkey, with more than 210,000 data obtained from the installed energy analyzers and building energy audits. A mathematical model is developed and verified to define the EUI of the existing bank branches. Calculated energy scores and benchmark study implied an energy efficiency potential across the sector. Investigating the results of underperforming buildings, the building shell and construction date are found to be significant. As results indicated an efficiency potential, a scenario-based energy benchmark model is proposed based on the new insulation regulations in Turkey to see the possible energy con-sumption and carbon gas emission reductions. The developed model is adapted to the scenario -based model by revising U-values concerning the regulation and climate zones. The scenario -based strategy has led to a 2136.7 MWh/year reduction in energy consumption. The total EUI was found to decrease from 159.44 to 124.35 kWh/m2year, also resulting in a 20.5% improve-ment equal to 2057.3 equivalent tons of CO2/year in annual GHG emissions with the application of new regulations.en_US
dc.description.sponsorshipREENGEN Energy Technologies Incen_US
dc.description.sponsorshipAcknowledgement The authors would like to appreciate REENGEN Energy Technologies Inc. who helped to provide data in the study. This research did not receive any specific grant from funding agencies in the public, commercial, or not -for-profit sectors.en_US
dc.identifier.doi10.1016/j.jobe.2023.105915
dc.identifier.issn2352-7102
dc.identifier.scopus2-s2.0-85146712304en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.1016/j.jobe.2023.105915
dc.identifier.urihttps://hdl.handle.net/11411/7423
dc.identifier.volume66en_US
dc.identifier.wosWOS:001001408200001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofJournal of Building Engineeringen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectEnergy Benchmarkingen_US
dc.subjectBuilding Energy Performanceen_US
dc.subjectEnergy-Efficiencyen_US
dc.subjectBank Branchesen_US
dc.subjectCommercial Buildingsen_US
dc.subjectGreenhouse Gas Emissionsen_US
dc.subjectGreenhouse-Gas Emissionsen_US
dc.subjectConsumptionen_US
dc.subjectPerformanceen_US
dc.subjectEfficiencyen_US
dc.subjectClassificationen_US
dc.subjectPredictionen_US
dc.subjectImpacten_US
dc.subjectStocken_US
dc.titleData-driven building energy benchmark modeling for bank branches under different climate conditionsen_US
dc.typeArticleen_US

Dosyalar

Koleksiyon

Web of Science Indexed Publications
Scopus Indexed Publications