Symbiotic data platform. A receptive-responsive tool for customizing thermal comfort & optimizing energy efficiency

Autor/a

Birgonul, Zeynep

Director/a

Cocho-Bermejo, Ana

Sarrablo Moreno, Vicenç

Fecha de defensa

2020-05-27

Páginas

383 p.



Departamento/Instituto

Universitat Internacional de Catalunya. Departament d'Arquitectura

Resumen

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.

Palabras clave

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

Materias

72 - Arquitectura

Área de conocimiento

Arquitectura y tecnología de computadoras

Documentos

Tesis Zeynel Birgonul.pdf

202.4Mb

 

Derechos

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/
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/

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