Analysis of the Typical Meteorological Data and the Weighting Factor of TRY

표준기상데이터 형식 분석 및 TRY 가중치 적용

  • Yoo, Ho-Chun (School of Architecture, University of Ulsan) ;
  • Lee, Gwan-ho (School of Space Design, Ulsan College) ;
  • Park, So-Hee (School of Architecture, Graduate School, University of Ulsan) ;
  • Kim, Kyoung-Ryul (School of Architecture, Graduate School, University of Ulsan)
  • Published : 2007.12.30

Abstract

Typical meteorological data is fundamental to computer simulation introduced for environment-friendly architecture designs. Therefore, in order to improve accuracy of computer simulation, typical meteorological data should be established. By examining how to choose typical meteorological data, this study selected the optimized weight factor for TRY where weighting factor was not clearly set. As a result, the same weighting factor was applied to each climatic element and TRY data where the weight factor was applied could have the distribution very similar to measurement data. The weighting factor is considered to reflect geographical characteristics of Seoul and applied climatic elements.

Keywords

References

  1. 유호천 외, FS 통계 분석을 이용한 서울, 부산의 표준건구온도의 산정, 한국친환경설비학회학술발표논문집, 2007. 10
  2. 유호천 외, FS 통계 분석을 이용한 서울, 부산의 표준 열사량 산정, 대한건축학회학술발표논문집(계획계), 2007. 10
  3. 유호천 외, 건물에너지 분석에 의한 표준 기상 자료에 관한 연구, 한국생태환경건축학회 추계학술발표논문집, 2007. 11
  4. 유호천 외, 표준기상데이터 형식 분석 및 프로 램 적용현황, 한국태양에너지학회 추계학술발표논문집, 2007. 11
  5. 윤종호, 건물에너지 성능평가를 위한 표준기상 자료의 국내외 현황, 대한설비공학회 설비저널 p.7-14, 2003. 8
  6. 공기조화냉동공학회, 건물의 공조부하계산용 표준 전산프로그램 개발 및 기상자료의 표준화 연구에 관한 최종보고서, 통상산업부,1996
  7. He. Yoo et al., Climate Change Test Reference Years for South Korea, 6th Meeting of The crn W108-Climate Change and The Built Environment, 2007. 10
  8. K.H. Lee, G.J. Levennore, Generation of typical weather data for future climate change for South Korea, 6th Meeting of The crn W108-Climate Change and The Built Environment, 2007. 10
  9. William Marion and Ken Urban, User's Manual for TMY2s Typical Meteorological Years, NREL, 1995. 6
  10. G. J. Levermore, North American and European hourly-based weather data and methods for HVAC, building energy analyses and design by simulation, 2002
  11. I.A Rahman, J. Dewsbury, Selection of typical weather data(test reference years) for Subang, Malaysia, Building and Environment, doi:10.1016/j.buidenv, 2006