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Published in:
2013 | OriginalPaper | Chapter
Spatial Data Management for Energy Efficient Envelope Retrofitting
Authors : Mattia Previtali, Luigi Barazzetti, Fabio Roncoroni
Published in: Computational Science and Its Applications – ICCSA 2013
Publisher: Springer Berlin Heidelberg
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Retrofitting existing buildings is a key aspect for reaching the proposed energy consumption reduction targets in all countries. The availability of as-built building model is of primary importance for both thermal lack diagnosis and planning retrofitting works. In particular, integration between Building Information Models (BIMs) and Infrared Thermography (IRT) can be a powerful tool for evaluating building thermal efficiency. Indeed, thermography can be efficiently used to detect thermal bridges and heat losses. However, thermographic images does not allow geometrical measurements whereas precise localization of thermal defects is a main aspect for retrofitting intervention planning. For this reason building models can be efficiently integrated with thermal images and provide metric information to thermographic analysis. In this paper a methodology for combining thermographies, acquired by different platforms, and building models automatically derived from laser scanning technology is presented.