Proper

Abstract

A number of nations support policies and financial assistance to promote energy performance improvement projects in existing buildings. Accordingly, related market sizes have increased steadily. It is necessary for successful projects of performance improvement to review the correlation between energy characteristics of existing buildings and systems. The correlation would be evaluated by utilizing energy analysis tools and selecting optimal element technologies to reduce energy usage in the target buildings. However, no guidelines are provided for quantitative analysis features about energy analysis tools of existing buildings. Thus, it is difficult to select a proper analysis tool in the energy performance improvement projects. In this regard, this study selected quasi-steady and dynamic analysis tools, which were utilized in existing building energy performance improvement projects in Korea, and compared and analyzed the tools. The comparative analysis results showed that the differences occurred due to differences in application methods of weather data, thermal transmittance, thermal bridge, and infiltration rate. Other factors contributing to the differences were differences in input methods of internal heat gains from lighting, the human body, and equipment.