This study aims to analyze the global sensitivity of the thermo-physical parameters considered in the Technical Quality Regulation for Energy Efficiency Level of Residential Buildings (RTQ-R). A case study of a house in Florianópolis, SC, was carried out through simulation on EnergyPlus, with the TRY weather file. Fifteen parameters used in the RTQ-R were defined and varied using the Latin Hypercube Sampling, generating 500 random simulations. The dependent variables were the degree-hour for cooling, relative consumption with heating and with cooling. The sensitivity analysis was based on Standardised Regression Coefficients and Partial Correlation Coefficients. Variability analysis and comparison of individual simulations were performed. The results showed that the most influential parameters differ for each dependent variable, which hinders the proposal of performance solutions that meet summer and winter conditions simultaneously. The solar absorptance and the emissivity of the roof were the most influential parameters, in general. This study has contributed to identify quantitatively the most influential parameters in buildings, which may support performance optimization and proposals of performance rating levels on certifications.
Global sensitivity analysis; Building simulation; Thermal performance; Energy efficiency; Residential building
