DocumentCode :
579396
Title :
As-built BIM with shades modeling for energy analysis
Author :
Díaz-Vilariño, L. ; Lagüela, S. ; Armesto, J. ; Arias, P.
Author_Institution :
Close Range Photogrammetry & Remote Sensing Group, Univ. of Vigo, Vigo, Spain
fYear :
2012
fDate :
2-5 Sept. 2012
Firstpage :
353
Lastpage :
359
Abstract :
The use of Building Information Models (BIM) for energy analysis is becoming a common application, supported by the appearance of standards and regulations restricting energy consumption and energy efficiency in the building sector. BIMs from already built buildings are being generated with the help of high-technology devices such as laser scanners, which acquire the physical reality of a scene with high accuracy in a short time. However, the environment of the building, and especially surfaces producing shades, which are essential for the performance of meaningful energy studies, is usually forgotten as the focus is set on the representation of complex geometries. With the aim of generating a BIM able to be subjected to energy analysis, this paper presents a working methodology including data acquisition with a laser scanner, shape extraction of the building itself and its surroundings, and conversion of extracted elements, including shade surfaces, to BIM components.
Keywords :
building management systems; data acquisition; energy conservation; energy consumption; natural scenes; optical scanners; realistic images; shape recognition; BIM; building environment; building information models; building shape extraction; data acquisition; energy analysis; energy consumption; energy efficiency; high-technology devices; laser scanner; physical reality; regulations; scene reality; shades modeling; standards; Analytical models; Data acquisition; Floors; Geometry; Shape; Solid modeling; BIM; energy analysis; geometry; modeling; shading;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Virtual Systems and Multimedia (VSMM), 2012 18th International Conference on
Conference_Location :
Milan
Print_ISBN :
978-1-4673-2564-6
Electronic_ISBN :
978-1-4673-2563-9
Type :
conf
DOI :
10.1109/VSMM.2012.6365945
Filename :
6365945
Link To Document :
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