Abstract

Purpose: Recently, most studies in the field of building load simulation programs have only focused on simplifying the building design factors. As a consequence, the error range for the deviation between the energy consumption of measurement and the energy load of simulation in the apartment is considerable. Therefore, this study aims to determine the prototypical heating and cooling load model for energy analysis of the apartment. Method: This study analyzed the monthly energy consumption according to the use of residential buildings using the national statistical data and developed a regression equation for the energy consumption of apartment. The regression equation was verified using pearson correlation coefficient, coefficient of variation of the root mean squared error(Cv(RMSE)), and energy simulation values were analyzed with actual measurements. Result: The correlation coefficient of total energy consumption was 0.99 compared between the regression equation and the actual data. Comparing the standard of the measured data with the values of this study, the Cv(RMSE) was 31% respectively. As a result of comparing data with previous studies of energy simulation, it was confirmed that the Pearson correlation coefficients was 1.24 times higher, respectively.

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