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Microclimatic conditions in the urban domain show a high degree of variability, which may not be fully captured with terrestrial weather station networks. Relying on the use of weather station data as external boundary conditions may therefore cause deviations in simulation-supported energy assessment inquiries. This contribution addresses this issue by exploring the application potential of satellite-based thermal remote sensing data for more realistic representations of external microclimatic boundary conditions in building energy modelling. For this purpose, three different remote sensing datasets are compared with the air temperature observations from terrestrial weather stations. Our findings indicate a significant relationship between remote sensing data and air temperature observations with 0.901 R, and up to 0.938 R in individual dataset comparisons. Moreover, air temperature is estimated from satellite-acquisitions with an overall RMSE of 2.96 k.

Utilization of Satellite-based Remote-sensing for the Representation of External Boundary Conditions in Building Energy Modelling