• Türkçe
    • English
  • English 
    • Türkçe
    • English
  • Login
View Item 
  •   DSpace Home
  • ARAŞTIRMA ÇIKTILARI (WoS-Scopus-TR-Dizin-PubMed)
  • Scopus İndeksli Yayınlar Koleksiyonu
  • View Item
  •   DSpace Home
  • ARAŞTIRMA ÇIKTILARI (WoS-Scopus-TR-Dizin-PubMed)
  • Scopus İndeksli Yayınlar Koleksiyonu
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Multi-zone optimisation of high-rise buildings using artificial intelligence for sustainable metropolises. Part 2: Optimisation problems, algorithms, results, and method validation

Thumbnail
View/Open
Makale_Article (16.14Mb)
Date
2021
Author
Ekici, B.
Kazanasmaz, Z.T.
Turrin, M.
Tasgetiren, M.F.
Sariyildiz, I.S.
Metadata
Show full item record
Abstract
High-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.
URI
https://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/11544
Collections
  • Scopus İndeksli Yayınlar Koleksiyonu
  • WoS İndeksli Yayınlar Koleksiyonu





Creative Commons License
[email protected] by Yasar University Institutional Repository is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 Unported License..

DSpace software copyright © 2002-2016  DuraSpace
Contact Us | Send Feedback
Theme by 
Atmire NV
 

 




| Politika | Rehber | İletişim |

sherpa/romeo

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsBy TypeBy PublisherBy LanguageThis CollectionBy Issue DateAuthorsTitlesSubjectsBy TypeBy PublisherBy Language

My Account

LoginRegister

DSpace software copyright © 2002-2016  DuraSpace
Contact Us | Send Feedback
Theme by 
Atmire NV