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대학건물의 사용행태 및 건축계획 관련 인자에 따른 에너지 소비패턴 분석
윤진하(Yoon, Jin-Ha),이병희(Lee, Byung-Hee),여명석(Yeo, Myung-Souk),김광우(Kim, Kwang-Woo) 대한건축학회 2017 대한건축학회 학술발표대회 논문집 Vol.37 No.1
This study aims to analyse the relationship between the energy consumption and energy factors for the energy retrofit of university buildings. The energy factors of buildings were divided into two groups, namely, usage behavior factors and architectural planning factors. Usage behavior factors include the usage ratio and occupancy rate, and architectural planning factors include the year of completion, orientation, building envelope system , and window type. The change point model was used to analyse the energy consumption of the building; one of the models to predict the energy consumption of the building was an energy inverse model based on the outdoor temperature. It was found that the usage ratio and occupancy rate are related to the cooling sensitivity and base energy consumption, respectively. The year of completion is related to the energy use intensity and the cooling sensitivity, the orientation is related to the intermediate season periods, and the building envelope system is related to the heating and cooling sensitivity and the, intermediate season periods.
Change Point Model을 활용한 대학건물의 에너지 소비패턴 분류 및 에너지 영향인자에 따른 분석
윤진하(Yoon, Jin-Ha),이병희(Lee, Byung-Hee),여명석(Yeo, Myung-Souk),김광우(Kim, Kwang-Woo) 대한건축학회 2017 大韓建築學會論文集 : 構造系 Vol.33 No.11
As part of reducing greenhouse gas emissions, energy saving is required for buildings that consume a large amount of energy, including university buildings. However, because university buildings consist of several buildings having varying purposes, it is difficult to manage building energy for overall energy saving at the campus level. Therefore, this paper presents an intuitive presentation of building energy management direction by investigating the actual energy consumption patterns of university buildings at the campus level. Energy consumption data used are expressed using the Change Point Model, and energy consumption parameters such as energy use intensity, base energy use ratio, cooling sensitivity, and heating sensitivity are derived. Further, the energy consumption of buildings was classified into 16 patterns by using the energy consumption parameters. Each pattern was analyzed according to the building energy impact factors and the building energy management direction by applying the science and engineering buildings.