공동주택 통계적 모델을 이용한 단위난방부하의 지역별 설정 연구
A Study on the Regional Setting of Unit Heating Loads using Apartment House Statistical Models
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This study developed the apartment reference model based on the building design trends for calculating the peak heating load. The building design trends were resulted from new apartment buildings of the Performance Evaluation of Eco-friendly Homes from 2012 to 2015. The reference model has the surface area of envelope, 97.5% of those of dataset, the model was validated by those of new apartment buildings in Sejong city. The peak heating load of the reference model in 59 Korean cities were calculated using RTS-SAREK program with the indoor/outdoor temperature and the regional thermal insulation performance of energy-saving design standards. The peak heating load of the 59, 74, 84 ㎡ apartment model is 50.2, 48.2 and 47.2 W/㎡ in the central region, 52, 49.8 and 48.7 W/㎡ in the southern region, and 40.4, 38.6 and 37.6 W/㎡ in the Jeju region, respectively. The peak heating loads of the model with 59 cities show that the regional division need to be divided into more regions and cities have to be rearranged to evaluate energy-saving properly.
Abstract
This study developed the apartment reference model based on the building design trends for calculating the peak heating load. The building design trends were resulted from new apartment buildings of the Performance Evaluation of Eco-friendly Homes from 2012 to 2015. The reference model has the surface area of envelope, 97.5% of those of dataset, the model was validated by those of new apartment buildings in Sejong city. The peak heating load of the reference model in 59 Korean cities were calculated using RTS-SAREK program with the indoor/outdoor temperature and the regional thermal insulation performance of energy-saving design standards. The peak heating load of the 59, 74, 84 ㎡ apartment model is 50.2, 48.2 and 47.2 W/㎡ in the central region, 52, 49.8 and 48.7 W/㎡ in the southern region, and 40.4, 38.6 and 37.6 W/㎡ in the Jeju region, respectively. The peak heating loads of the model with 59 cities show that the regional division need to be divided into more regions and cities have to be rearranged to evaluate energy-saving properly.
참고문헌 (9)
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