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³í¹®¸í DesignBuilder ÇÁ·Î±×·¥À» ÀÌ¿ëÇÑ °Ç¹°¿¡³ÊÁö Çؼ®¿¡¼­ ¿­±³ ¿µÇ⠸𵨸µ ¹æ¹ý Æò°¡ / Evaluation of Thermal Bridging Effect Modeling Method in Building Energy Simulation Using DesignBuilder Program
ÀúÀÚ¸í ÃÖº¸Çý½Äº°ÀúÀÚ ; ¼Û½Â¿µ½Äº°ÀúÀÚ
¹ßÇà»ç Çѱ¹°ÇÃàģȯ°æ¼³ºñÇÐȸ
¼ö·Ï»çÇ× Çѱ¹°ÇÃàģȯ°æ¼³ºñÇÐȸ ³í¹®Áý, Vol.18 No.2 (2024-04)
ÆäÀÌÁö ½ÃÀÛÆäÀÌÁö(152) ÃÑÆäÀÌÁö(13)
ISSN 1976-6483
ÁÖÁ¦ºÐ·ù ȯ°æ¹×¼³ºñ
ÁÖÁ¦¾î µðÀÚÀκô´õ; µ¿Àû °Ç¹°¿¡³ÊÁö Çؼ®; ¿­±³; À¯È¿ ¿­°ü·ùÀ²; Àü¿­°è¼ö ; DesignBuilder; Dynamic Building energy simulation; Thermal bridge; Effective U-factor; Heat transfer coefficient
¿ä¾à2 The purpose of this study was to compare of results according to thermal bridging modeling method in building energy simulation using DesignBuilder program. To model the thermal bridging effect in the DesignBuilder program, the effective U-factor and the heat transfer coefficient through linear and point thermal bridges were calculated and reflected through a three-dimensional heat transfer analysis. In the former case, the effect of thermal bridges is approximated by increasing or decreasing the thickness of the insulation only in the exterior wall configuration, while in the latter case, the effect of linear and point thermal bridges can be considered together by subtracting the heat flow rate through non-thermal bridges from the total heat flow rate. The method reflecting the heat transfer coefficient through the linear and point thermal bridges results in 13.9 to 19.6% greater annual heating and cooling energy use than the method reflecting the effective U-factor, and the savings for the base case and alternatives are similar for both methods.
¼ÒÀåó Çѱ¹°ÇÃàģȯ°æ¼³ºñÇÐȸ
¾ð¾î Çѱ¹¾î
DOI https://doi.org/10.22696/jkiaebs.20240014
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