Symbiotic data platform. A receptive-responsive tool for customizing thermal comfort & optimizing energy efficiency
To access the full text documents, please follow this link: http://hdl.handle.net/10803/669180
Author
Birgonul, Zeynep
Other authors
Cocho-Bermejo, Ana
Sarrablo Moreno, Vicenç
Universitat Internacional de Catalunya. Departament d'Arquitectura
Date of defense
2020-06-16T16:57:20Z2020-06-16T16:57:20Z
2020-05-27
Abstract
Symbiotic Data Platform is a receptive-responsive tool for ‘personalized’ thermal comfort optimization. The research focuses on; searching
new possibilities of how to upgrade BIM methodology to be interactive, the possibility of using existing BIM data during the occupation
phase of the building, and also, researching on the potential of enhancing energy efficiency & comfort optimization together by taking
benefit of BIM material data. The objective of the research is to take benefit of the massive existing data that is embedded in Building
Information Models, by exporting the information and using in other mediums as input. The research addresses both energy efficiency and
sustainable environment concerns due to augmenting the accuracy of analysis by material data and real-time information, while focusing on
personalized comfort optimization. The final product is an interface that addresses the contemporary concerns of global facts and the new
generations responsible society. The research is developed by designing and testing via Prototyping thanks to IoT technology, and
investigating the possibilities of adding BIM data to the prototypes’ algorithm.
Document Type
Thesis
Published version
Language
English
Subjects and keywords
Building Information
Modeling (BIM)
Internet of Things (IoT)
Interaction
Real-Time Information
Responsive Architecture
Human-Computer Interaction
User Centered Design
Post- Occupancy Analysis
Thermal Comfort Optimization
Energy Efficiency
Arquitectura y tecnología de computadoras
72
Pages
383 p.
application/pdf
application/pdf
Publisher
Universitat Internacional de Catalunya
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Rights
L'accés als continguts d'aquesta tesi queda condicionat a l'acceptació de les condicions d'ús establertes per la següent llicència Creative Commons: http://creativecommons.org/licenses/by-nc-nd/4.0/