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[50] UAV-based geometry data acquisition for building energy<br />
modelling<br />
Mengfan Jin 1 and Marco Cimillo 1<br />
1<br />
Xi’an Jiaotong-Liverpool University<br />
Building Energy Modelling (BEM) is a critical tool for various building energy-related<br />
applications, such as energy efficiency diagnosis, certification, and retrofit<br />
design. Accurate building geometric, non-geometric, and weather data are crucial<br />
for effective BEM. Conventional onsite measurement methods can be laborious<br />
and time-consuming. Furthermore, after the onsite work, creating the<br />
energy simulation model has disproportionately outweighed the attention given<br />
to high-value engineering and energy analysis within the retrofit workflow. Unmanned<br />
Aerial Vehicles (UAVs) enable swift data collection, bypassing lengthy<br />
manual processes and offering potential solutions. This study used aerial imagery<br />
captured by a UAV to create a geometry model of a residential building in Suzhou,<br />
China, aiding energy assessment. Specialised software can convert photos into<br />
a detailed 3D model while lacking semantic information limits its utility beyond<br />
visualisation. Therefore, post-processing was conducted to generate a complete<br />
geometric model. The outcomes were compared to conventional measurement<br />
methods against accuracy and processing time. The study demonstrates that the<br />
application of UAV-based photogrammetry can semi-automatically reconstruct<br />
the building envelope with high precision, providing valuable geometry input for<br />
building energy assessment.<br />
Keywords: UAV, Building energy modelling, Data acquisition
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