Abstract
In this work, the effect of two radiation modeling techniques on the performance of a simplification shoeboxing algorithm for Urban and Building Energy Modeling is studied. The simplified shoebox models consider the building’s self-shadings and context obstructions as equivalent obstructing surfaces replacing part of the windows, whose sizes are obtained by means of a radiation analysis on the original and the simplified geometry. The use of an annual and monthly radiation analysis is compared in terms of accuracy of energy needs prediction. Neglecting outliers, a monthly estimation of the radiation allows to reduce the heating differences from ± 15 % to ± 10 % and the cooling differences from ± 20 % to ± 5 %.