| Title |
Selecting of the Energy Performance Diagnosis Items through the Sensitivity Analysis of Existing Buildings |
| Authors |
Dong-Seok Kong ; Yong-Sung Chang ; Jung-Ho Huh |
| DOI |
http://dx.doi.org/10.6110/KJACR.2015.27.7.354 |
| Keywords |
기존 건축물 ; 에너지성능 진단 ; 민감도 분석 ; 모리스 민감도 ; 보정시뮬레이션 ; 중요변수 Existing buildings ; Energy audit ; Sensitivity analysis ; Morris sensitivity ; Calibrated simulation ; Influential parameter |
| Abstract |
The building energy audit is an important process when collecting basic information for improving the energy performance of existing buildings. Audit parameters should be associated with the energy performance of the building. Such audit parameters will vary according to an individual building’s characteristics and energy consumption patterns, but most building energy audits are performed in the same way. The sensitivity analysis (SA) is a statistical method to quantify the correlation between inputs and outputs that can determine which input is influential to which output. Therefore, an SA can identify influential parameters when applied to building energy analysis. In this paper, we adopted the Morris method to identify building energy audit parameters and performed a Monte Carlo simulation for uncertainty analysis. As a result, this method was able to identify an influential parameter for building energy audits and reduce uncertainty in energy consumption in buildings. |