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자료유형
학술저널
저자정보
전재홍 (경북대) 박혜진 (경북대) 이권형 (경북대학교  ) 추승연 (경북대)
저널정보
대한건축학회 대한건축학회 논문집 - 계획계 大韓建築學會論文集 計劃系 第34卷 第2號(通卷 第352號)
발행연도
2018.2
수록면
3 - 11 (9page)

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Korea has achieved a rapid economic development and with the increase in population and national income and the expansion of social and economic activities, energy consumption has rapidly increased too. Energy consumption per head has constantly increased and currently, power consumption per head is 7.5 times bigger than in 1985. Buildings occupy 25% of total energy consumption and especially, 50% of total energy is consumed for heating and cooling. In this situation, multi-family housing, which has constantly been increased, has an energy saving rate of 1.9%, which is the lowest level and this makes the government’s energy policy for sustainable energy system development useless. Besides, energy consumption leads to secondary problems, such as air, water and marine pollution and heat pollution and wastewater/drainage and the increased use of fossil fuel is a fundamental reason for ozone layer destruction and global warming. Therefore, efficient energy consumption plans are required. This study aims to analyze energy performance in each block type of high-rise and diversified multi-family housing that accounts for 60% of all the housing forms, depending on the variations in stories through BIM-based energy simulation. For this study, four representative block types were selected, based on the multi-family floor plan, which is certified for energy performance evaluation and they were applied to the floor plan of a multi-family house that is scheduled to be built. Then BIM modeling was conducted from the fifth story to the 40th story at an intervals of 5 stories and based on the finding, energy characteristics of each block type and energy performance depending on the variations in stories were analyzed. It is considered that this would serve as objective data for block type and block story decision of energy performance-based multi-family housing.

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Abstract
1. 서론
2. 주동형태 분류 및 대표 모델 선정
3. 주동형태에 따른 에너지 성능 시뮬레이션 모델 선정
4. 주동형태별 에너지성능분석
5. 결론
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