A study on Applicability through Comparison of Weather Data based on Micro-climate with existing Weather Data for Building Performative Design

건물 성능디자인을 위한 미기후 기반 기상데이터의 기존 기상데이터와 비교를 통한 활용 가능성 연구

  • Received : 2011.10.21
  • Accepted : 2011.12.16
  • Published : 2011.12.31

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.

Keywords

References

  1. 송승영, 기후특성 분석 프로그램과 기후설계 프로세스, 설비저널, 대한설비공학회, 32(8), 2003.08
  2. 유호천, 김경률, 노경환, 이지은, 표준기상데이터 형식 분석 및 프로그램 적용현황, 한국태양에너지학회 추계학술발표대회 논문집, 2007. 11
  3. 유호천, 대한민국 주요도시의 표준 기상데이터 작성, 한국태양에너지학회지, 8(1), 2009
  4. 조민수, 권오경, 기상수치시뮬레이션을 위한 그리드포털 시스템 개발, 한국기상학회 가을 학술대회 논문집, 2007.10
  5. Autodesk, Autodesk Green Building Studio Questions and Answers, Autodesk, 2009
  6. Autodesk, Autodesk Sustainable Design Curriculum 2010 Student Workbook, Autodesk, 2010
  7. Lawrence Berkeley National Laboratory, Tips & Tricks for Using EnergyPlus, U.S. Department of Energy, 2010. 12
  8. Stuart Malkin, Weather Data for Building Energy Analysis, Autodesk Green Building Studio White Paper, Autodesk, 2008