Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/10503
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dc.contributor.authorAbbaş, G.M.-
dc.contributor.authorGürsel, Dino, I.-
dc.contributor.authorPerçin, M.-
dc.date.accessioned2023-07-14T20:18:06Z-
dc.date.available2023-07-14T20:18:06Z-
dc.date.issued2023-
dc.identifier.issn2352-7102-
dc.identifier.urihttps://doi.org/10.1016/j.jobe.2023.106991-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/10503-
dc.description.abstractEarly design decisions influence the performance of a building significantly. Yet, computational support for performance assessment during early design is very limited. This research proposes an analysis pipeline for the accurate and comprehensive assessment of building performance by integrating simulation-based analysis tools that perform daylighting, computational fluid dynamics, energy, and contaminant transport simulations, as well as wind tunnel testing that performs velocity and pressure measurements to generate wind pressure coefficients. The pipeline is implemented in three different ways: hybrid, model-based, and empirical workflows. The hybrid workflow combines computational fluid dynamics simulations and wind tunnel testing, while the model-based and empirical workflows utilize computational fluid dynamics simulations and wind tunnel testing, respectively. In the pipeline, computational fluid dynamics is used early on to evaluate a high number of alternatives, leading to the selection of a limited number of good-performing options. Following this, wind tunnel testing is used to “correct” the initial wind pressure coefficient results for increased accuracy. Therefore, a hybrid approach operating with high accuracy that can effectively explore the design search space is needed. The pipeline is tested on a hypothetical office building with different shading device configurations. The coupling of computational and physical testing methods in a hybrid workflow significantly enhanced the accuracy of airflow-related data, which is underestimated by 15.4% using the model-based workflow. Moreover, the hybrid workflow managed the complexity of the design search space by the assessment and elimination of different design alternatives by the stepwise simulation workflow. The inclusion of shading devices also improved the accuracy of airflow-related data. If the shading devices had not been modeled for the simulations and had not been tested, the results would have overestimated the ventilation rate by 85% and underestimated the ventilation rate by 1.4%, respectively. The study's contribution is significant as it proposes a pipeline for a more accurate and comprehensive assessment of building performance, which can inform design decisions and improve the overall building's performance. © 2023 The Authorsen_US
dc.description.sponsorshipThe authors would like to thank METU RÜZGEM for making wind tunnel facilities available for this research. The authors would like to thank Dr. Oğuz Uzol, Dr. Nilay Uzol and the METU RÜZGEM team for their support throughout this research.en_US
dc.language.isoenen_US
dc.publisherElsevier Ltden_US
dc.relation.ispartofJournal of Building Engineeringen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectBuilding energy performanceen_US
dc.subjectComputational fluid dynamicsen_US
dc.subjectIndoor contaminant simulationen_US
dc.subjectNatural ventilationen_US
dc.subjectTool developmenten_US
dc.subjectWind tunnel testingen_US
dc.subjectArchitectural designen_US
dc.subjectEnergy efficiencyen_US
dc.subjectIntegration testingen_US
dc.subjectOffice buildingsen_US
dc.subjectPipelinesen_US
dc.subjectStructural dynamicsen_US
dc.subjectTransport propertiesen_US
dc.subjectVentilationen_US
dc.subjectWell testingen_US
dc.subjectWind stressen_US
dc.subjectWind tunnelsen_US
dc.subjectBuilding energy performanceen_US
dc.subjectBuilding performanceen_US
dc.subjectContaminant simulationen_US
dc.subjectIndoor contaminant simulationen_US
dc.subjectModel-based OPCen_US
dc.subjectNatural ventilationen_US
dc.subjectShading devicesen_US
dc.subjectTool developmenten_US
dc.subjectWind-tunnel testingen_US
dc.subjectWork-flowsen_US
dc.subjectComputational fluid dynamicsen_US
dc.titleAn integrated pipeline for building performance analysis: Daylighting, energy, natural ventilation, and airborne contaminant dispersionen_US
dc.typeArticleen_US
dc.departmentTOBB ETÜen_US
dc.identifier.volume75en_US
dc.identifier.wosWOS:001055310300001en_US
dc.identifier.scopus2-s2.0-85161332737en_US
dc.institutionauthor-
dc.identifier.doi10.1016/j.jobe.2023.106991-
dc.authorscopusid57223843636-
dc.authorscopusid57211555720-
dc.authorscopusid55267531800-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.scopusqualityQ1-
item.cerifentitytypePublications-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypeArticle-
item.fulltextNo Fulltext-
item.grantfulltextnone-
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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