Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/11847
Full metadata record
DC FieldValueLanguage
dc.contributor.authorEkici, Berk-
dc.contributor.authorKazanasmaz, Zehra Tuğçe-
dc.contributor.authorTurrin, Michela-
dc.contributor.authorTaşgetiren, M. Fatih-
dc.contributor.authorSarıyıldız, I. Sevil-
dc.date.accessioned2021-12-02T18:16:19Z-
dc.date.available2021-12-02T18:16:19Z-
dc.date.issued2021-
dc.identifier.issn0038-092X-
dc.identifier.issn1471-1257-
dc.identifier.urihttps://doi.org/10.1016/j.solener.2021.05.082-
dc.identifier.urihttps://hdl.handle.net/11147/11847-
dc.description.abstractHigh-rise building optimisation is becoming increasingly relevant owing to global population growth and urbanisation trends. Previous studies have demonstrated the potential of high-rise optimisation but have been focused on the use of the parameters of single floors for the entire design; thus, the differences related to the impact of the dense surroundings are not taken into consideration. Part 1 of this study presents a multi-zone optimisation (MUZO) methodology and surrogate models (SMs), which provide a swift and accurate prediction for the entire building design; hence, the SMs can be used for optimisation processes. Owing to the high number of parameters involved in the design process, the optimisation task remains challenging. This paper presents how MUZO can cope with an enormous number of parameters to optimise the entire design of high-rise buildings using three algorithms with an adaptive penalty function. Two design scenarios are considered for quad-grid and diagrid shading devices, glazing type, and building-shape parameters using the setup, and the SMs developed in part 1. The optimisation part of the MUZO methodology reported satisfactory results for spatial daylight autonomy and annual sunlight exposure by meeting the Leadership in Energy and Environmental Design standards in 19 of 20 optimisation problems. To validate the impact of the methodology, optimised designs were compared with 8748 and 5832 typical quad-grid and diagrid scenarios, respectively, using the same design parameters for all floor levels. The findings indicate that the MUZO methodology provides significant improvements in the optimisation of high-rise buildings in dense urban areas.en_US
dc.language.isoenen_US
dc.publisherPergamon-Elsevier Science LTDen_US
dc.relation.ispartofSolar Energyen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectPerformance-based designen_US
dc.subjectBuilding simulationen_US
dc.subjectSustainabilityen_US
dc.subjectHigh-rise buildingen_US
dc.subjectMachine learningen_US
dc.subjectOptimizationen_US
dc.titleMulti-zone optimisation of high-rise buildings using artificial intelligence for sustainable metropolises. Part 2: Optimisation problems, algorithms, results, and method validationen_US
dc.typeArticleen_US
dc.institutionauthorKazanasmaz, Zehra Tuğçe-
dc.departmentİzmir Institute of Technology. Architectureen_US
dc.identifier.volume224en_US
dc.identifier.startpage309en_US
dc.identifier.endpage326en_US
dc.identifier.wosWOS:000684217800004en_US
dc.identifier.scopus2-s2.0-85107961563en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.1016/j.solener.2021.05.082-
dc.identifier.wosqualityQ2-
dc.identifier.scopusqualityQ1-
item.openairetypeArticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextWith Fulltext-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.grantfulltextopen-
crisitem.author.dept02.02. Department of Architecture-
Appears in Collections:Architecture / Mimarlık
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
Files in This Item:
File SizeFormat 
1-s2.0-S0038092X21004588-main.pdf16.53 MBAdobe PDFView/Open
Show simple item record



CORE Recommender

SCOPUSTM   
Citations

14
checked on Mar 22, 2024

WEB OF SCIENCETM
Citations

12
checked on Mar 27, 2024

Page view(s)

48,972
checked on Mar 25, 2024

Download(s)

180
checked on Mar 25, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.