Remote Sensing For Building Energy Simulation Input – A Field Trial

Abstract

Accurate data about the condition and thermal properties of existing buildings are desirable for simulation purposes in the preparation of energy Efficiency retrofits. However, established measurement methods tend to be laborious, time-consuming and expensive. Modern remote sensing technologies may capture the energetic characteristics of buildings in less time and at lower cost. This paper presents first results of a field trial with RGB and thermal infrared (TIR) imagery taken from an unmanned aerial vehicle (UAV) to derive the geometry and heat transfer coefficients (U-values) for a single-family home as an input for energetic simulations. The outcome is compared to conventional analysis methods regarding accuracy and effort. It is shown that the building envelope can be precisely reconstructed using photogrammetry. However, the obtained U-values expose significant deviations. Potential error sources and possible remedies are discussed.