Author
Göçer, Özgür, Hua, Y., Göçer, Kenan
Publication Date
2016-10
Publication Place
-
Springer Nature
Subject
Pre-retrofitting, As-is built modeling, Post-occupancy evaluation, Building information modeling (BIM), Geographical information systems (GIS), Data mapping
Type
Periodical
Language
English
Digital
Yes
Manuscript
No
Library
Özyeğin University
Library Asset ID
1996-8744
Record ID
789e8d9a-e1e0-4fc3-9840-2101d7382905
Library Location
Architecture
Date
2016-10
Notes
Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Sample Text
In response to rising energy costs and the impetus to reduce environmental impacts, upgrading the large building stock that is responsible for 40% of the total energy consumption to maximum energy efficiency is becoming an important task. Despite the many benefits associated with retrofit projects, they are still only slowly being implemented because of the many challenges that exist. One of these challenges is optimizing the decision between renovation scenarios based on economic and environmental goals, which can be made possible with an accurate pre-retrofit model. The intention of this paper is to introduce a pre-retrofit model that efficiently obtains and integrates multiple forms of building data as a critical step to develop a comprehensive understanding of a building to be renovated. Opportunities for utilizing building information modeling (BIM) and geographical information systems (GIS) for retrofitting projects were explored through the study of a historical campus building. With the use of as-is geometric data and as-is data, building data maps were obtained. The next step of this study is to use the model to conduct scenarios comparison and optimize renovation decision based on economic and environmental goals.
DOI
10.1007/s12273-016-0293-4
Cilt
9
