http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
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.
기존건축물 에너지 성능 정보 데이터베이스 구축을 위한 데이터스키마 제안 : 그린리모델링 사례연구를 통해
윤진하(Yoon, Jin-Ha),최준우(Choi, Jun-Woo),김혜기(Kim Hye-Gi),신혜리(Shin, Hey-Ry),김덕우(Kim, Deuk-Woo) 대한건축학회 2023 대한건축학회논문집 Vol.39 No.12
This paper proposes a basic data schema for the systematic collection and maintenance of field information in green remodeling projects. During the early stages of these projects, field surveys are conducted on target buildings to gather various information regarding building and facility conditions, operations, and more. However, these valuable materials are typically used only once for report writing and are stored in an unstructured manner, often neglected. This leads to problems such as inconsistency, inaccuracy, and reduced reliability, impacting the overall quality. Moreover, these materials are difficult to reuse as they are stored as document files without standardized forms, hindering interoperability. Thus, a customized data schema is necessary to systematically and continuously manage field information. To address this need, this study examined the existing building on-site collection data schemas from the United States and the European Union, identifying the essential elements required for a building data schema in Korea. The foreign data schemas exhibited characteristics such as modular composition, separation of objective information and subjective opinion, and scalability and compatibility of data. Drawing from these insights, the investigation items of green remodeling on-site documents were modularized through a process of data integration, separation, deletion, addition, and movement. Finally, this paper describes a proposed data schema with examples of inputs.
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.