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이귀옥 ( Kwi Ok Lee ),강동배 ( Dong Bae Kang ),이강열 ( Kang Yoel Lee ),정우식 ( Woo Sik Jung ),심재헌 ( Je Hean Sim ),윤성환 ( Seong Hwan Yoon ) 한국환경과학회 2014 한국환경과학회지 Vol.23 No.3
EnergyPlus is a whole building energy simulation program that engineers, architects, and researchers use to model energy and water use in buildings. Modeling the performance of a building with EnergyPlus enables building professionals to optimize the building design to use less energy and water. This program provides energy analysis of building and needs weather data for simulation. Weather data is available for over 2,000 locations in a file format that can be read by EnergyPlus. However, only five locations are avaliable in Korea. This study intends to use AWS data for having high spatial resolution to simulate building energy. The result of this study shows the possibility of using AWS data for energy simulation of building.
이화운,정우식,임헌호,이강열,노순아 부산대학교 환경문제연구소 2003 環境硏究報 Vol.21 No.-
For the purpose of prediction air quality in Kimhae area, ISC3 and UAM were used. As the study area is located in a coastal area, the atmospheric flow is strong1y affected by the sea breeze. The air quality model results show that the dirunal variation pattern of pollutants is consistent with observed spatial and temporal features, as a whole.
객관 분석에 의한 복잡지형의 대기유동장 수치모의와 모델에 의한 자료질 조절효과
이화운,최현정,이강열 한국대기환경학회 2005 한국대기환경학회지 Vol.21 No.1
In order to reduce the uncertainties and improve the air flow field, objective analysis using asynoptic observational data is chosen as a method that enhances the reality of meteorology. In surficial data and their numerical interpolation for improving the interpretation of meteorological components, objective analysis scheme should perform a smooth interpolation, detect and remove the bad data and carry out internal consistency analysis. For objective analysis technique which related to data reliability and error suppression, we carried out two quality control methods. In site quality control, asynoptic observational data at urban area revealed low representation by the complex terrain and buildings. In case of wind field, it was more effective than temperature field when it were interpolated near waterbody data. Many roads, buildings, subways, vehicles are bring about artificial heat which left out of consideration on the simulation of air flow field. Therefore, in temperature field, objective analysis for more effective result was obtained when surficial data were interpolated as many as possible using value quality control rather than the selection of representative site.