Abstract
In this work, a parametric analysis was performed with the aim to improve the shoebox definition from the real building characteristics. Besides conventional thermophysical and geometrical properties, context-related features were considered. To perform a multi-variate sensitivity analysis, several configurations of shoeboxes were simulated in the climate of Denver, Colorado, USA, using EnergyPlus as building simulation code. Annual energy needs and peak loads for space heating and cooling were analysed. According to the most influencing variables determined, it will be possible to consistently simplify and represent more efficiently a building into a shoebox in urban simulation.