통계 데이터 기반 최적화 캘리브레이션을 통한 다세대 주택 표준모델 도출 : 중부지방 중심으로

Abstract

Purpose: The market for low energy remodeling is expected to expand in the future, so a prototype model of buildings are need to provide for sharing energy saving data for participants in the market. In this paper, prototype energy model for multi-housing was derived from monthly energy consumption data through the optimization claibration method. Method: In this study, a prototype model of a multi-housing was produced based on the unit house energy consumption data of the Korea Energy Economics Institute. Unit-level statistical data were modified considering the unit size. The HESS(Household Energy Standing Survey) data showed that the cooling energy consumption was smaller than generally expected. In order to reduce the gap, input variables of natural ventilation effect and shadow effect from surrounding buildings were added for the calibration and the four cases were analyzed compartively and analyzed the effects of natural ventilation and shadow effects. Result: Calibration error results showed that the additional natural ventilation and shadow effect resulted in the minimum cv(RMSE) value of 4.16%, and the base case without natural ventilation and shadow effect resulted in a maximum cv(RMSE) value of 8.88%. Therefore, it was confirmed that the natural ventilation effect and the urban shading effect were effective for the calibration of buildings in urban area of Korea.