| 논문명 |
통계 분석을 통한 내, 외단열 공동주택 벽-슬라브 접합부 열교부위의 선형 열관류율 예측에 관한 연구 / Statistical Analysis on the Prediction of Linear Thermal Transmittances for Wall-Slab Joints in Internally and Externally-Insulated Apartment Buildings |
| 저자명 |
구보경 (Koo Bo-Kyoung) ; 임재한(Lim Jae-Han) ; 송승영(Song Seung-Yeong) |
| 수록사항 |
대한건축학회논문집 계획계, v.27 n.8 (2011-08) |
| 주제어 |
열교 ; 선형 열관류율 ; 외단열 ; 회귀분석 ; 공동주택 ; Thermal Bridge ; Linear Thermal Transmittance ; External Insulation and Finish System ; Regression Analysis ; Apartment building |
| 요약2 |
In Korean apartment buildings, internal insulation system is usually applied, so the layer of insulation is disconnected due to structural component at wall-slab and wall-wall joints in envelope. In particular, the amount of heat loss is significant at the wall-slab joints adjacent to hot water heating pipes. In Europe, EPBD(Energy Performance of Buildings Directive) came into effect, and national building energy performance evaluation tool is needed for issuing EPC(Energy Performance Certificate). Though thermal bridges are not explicitly mentioned in EPBD, they are included in the calculation of building energy performance. Linear thermal transmittance is required for energy performance calculation including the effect of these thermal bridges and it should be calculated by an expert with an experience of 2-D heat transfer simulation. If a non-expert can get a linear thermal transmittance without complex calculation, it would be very helpful. So, in this way, in most of European nations, simplified assessment methods for thermal bridges are provided in the national building energy performance evaluation standard. In this study, the regression models which predict linear thermal transmittances for three types of wall-slab joints (internal insulation, internal insulation with subsidiary insulation under slab, and external insulation) are suggested. 2-D heat transfer simulations were performed to calculate linear thermal transmittances for several variables, and then regression equations were derived, which showed a good match with 2-D heat transfer simulation results with p values <0.0001. These regression models can be used for the building energy performance calculation including the effects of thermal bridges. |
