| 2022 대한건축학회 추계학술발표대회 발표논문 | |||||
| 작성자 | 석소이 | 작성일 | 2022-12-01 | 조회수 | 92 |
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발표자 : Irakoze Amina 논문 제목 : Building classifcation through cluster analysis and heating energy cosumption of different granularity Abstract : An effective energy upgradation of existing building stock requires classification of buildings based on their thermal characteristics. The purpose of this study is to classify buildings with similar envelop thermal characteristics by applying k-means clustering analysis on building energy consumption data of different granularity (hourly, daily, monthly energy). Heating energy consumption from 51 building models with varying wall, window, and roof thermal transmittance, window SHGC, and infiltration rate (ac/h) is used. The findings of this study indicate that building classifications obtained from hourly, daily, monthly heating energy differ especially in ther identification of buildings with high window thermal transmittance and infiltration rate. |
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