건물 성능디자인을 위한 미기후 기반 기상데이터의 기존 기상데이터와 비교를 통한 활용 가능성 연구A study on Applicability through Comparison of Weather Data based on Micro-climate with existing Weather Data for Building Performative Design
- Other Titles
- A study on Applicability through Comparison of Weather Data based on Micro-climate with existing Weather Data for Building Performative Design
- Authors
- 김언용; 전한종
- Issue Date
- Dec-2011
- Publisher
- 한국생태환경건축학회
- Keywords
- 기상 데이터; 미기후; 성능 디자인; 건물 에너지 시뮬레이션; Weather data; Micro-climate; Performative design; Building energy simulation
- Citation
- KIEAE Journal, v.11, no.6, pp.101 - 108
- Indexed
- KCI
- Journal Title
- KIEAE Journal
- Volume
- 11
- Number
- 6
- Start Page
- 101
- End Page
- 108
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/166846
- ISSN
- 2288-968X
- Abstract
- The weather data has important role for performative building design. If the data location is close to building site, the result of performative design can be accurate. The data which have used nowadays in Korea are from U.S. Department of Energy (DOE) and Korea Solar Energy Society (KSES) but they cover only several locations in Korea which are 4 in DOE and 11 in KSES and there are opinions which it could be served building design efficiently even if the data are not enough. However the weather data for micro-climate are exist which are Green Building Studio Virtual Weather Station (GBS VWS) and Meteonorm weather data. Each weather data has different generation methods which are TMY2, TRY, MM5, and extrapolation. In this research, the weather date for climate are compared with DOE and KSES to check correlation. The result shows the value of correlation in Dry Bulb Temp. and Dew Point Temp. is around 0.9 so they have high correlation in both but in Wind Speed case the correlation(around 0.2) is not exist. In overall result, the data has correlation with DOE and KSES as the value of correlation 0.648 of GBS VW and 0.656 of Meteonorm. Even if the correlation value is not high enough, the patterns of difference in each weather element are similar in scatter plot.
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