대한건축학회논문집:계획계 (Journal of the Architectural Institute of Korea Planning & Design)

  • 제30권3호
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  • Pages.215-222
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  • 2014
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  • 1226-9093(pISSN)
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  • 2384-177X(eISSN)
대한건축학회 (Architectural Institute of Korea)
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건물에너지 평가를 위한 다양한 표준기상데이터 산출모델의 비교분석

Comparative Analysis of Diverse Typical Weather Data Model for Building Energy Assessment

  • 투고 : 2013.09.04
  • 심사 : 2014.03.13
  • 발행 : 2014.03.25
⟨ 이전 논문 다음 논문 ⟩

초록

This paper explored accurately and objectively typical meteorological data essential to the analysis of building energy to build typical data for the low-energy building. To do this, the paper proceeded with the following steps: selecting 5 calculation models of typical meteorological data, which are generally used by authorized institutions and many researchers at Seoul in Korea; preparing regional typical meteorological data displaying the results recorded for 20 years; making a comparative analysis of the characteristics of typical meteorological data by regional & estimating model and the study model setting the effect of building energy for business building. This paper found that there was a direct correlation between the average actual data recorded for 20 years and 5 calculation models, and there was not much difference in calculation models by assessing typical meteorological data and the significance level. In addition, through the comparison between typical meteorological data and cooling & heating load of every single year for 20 years, this paper illustrated that the dry-bulb temperature has a significant impact on energy analysis program. Such impact is considered to be a very important indicator for predicting the results of analysis through dry-bulb temperature and cooling & heating degree days.

키워드

과제정보

연구 과제 주관 기관 : 한국연구재단

참고문헌

  1. 건축물에너지효율등급인증제도운영규정, 국토해양부
  2. I.A.Rahman & J.Dewsbury, Selection of typical weather data (test reference years) for Subang, Malaysia, Building and Environment, 2006
  3. 유호천, 이관호, 박소희, 김경률, 표준기상데이터 형식 분석 및 TRY 가중치 적용, 27(4), 한국태양에너지학회논문집, 2007
  4. G.J. Levermore & J.B. Parkinson, Analyses and algorithms for new Test Reference Years and Desing Summer Years for the UK, Building Serv. Eng. Res. Technol, 27(4), 2006
  5. Hall I.J., Prairie R. R., Anderson H. E. and Boes E. C., Generation of Typical Meteorological Years for 26 SOLMET stations, Sandia laboratories Report SAND 78-1601, Sandia Laboratories, Albuquerque, NM, 1978
  6. 유호천, 박소희, 서울지역 표준기상데이터 개선을 위한 대표적인 산출방법의 검토 및 평가, 28(6), 대한건축학회논문집, 2012
  7. Naseem M. Sawaqed, Yousef H. Zurigat and Hilal Al-Hinai, A step-by-step application of Sandia method in developing typical meteorological years for different locations in Oman, Int. J. Energy Res, 29, 2005
  8. Willian Marion and Ken Urban, User's Manual for TMY2s, NREL, 1995
  9. Filkenstein J. M. and Schafer R. E., Improved goodness to fit tests, Biometrica, 58, 1971
  10. ASHRAE, Inernational Weather for Energy Calculations(IWEC Weather Files) User's Manual, Version 1.1, 2002
  11. International Standard ISO 15972-4, Hygrothermal performance of buildings-Calculation and presentation of climatic data-Part 4:Hourly data for assessing the annual energy use for heating and cooling, 2005
  12. CIBSE, CIBSE Guide J: Weather, solar and illuminance data, London: The Chartered Institution of Building Services Engineers, 2002
  13. Auxiliary EnergyPlus Programs_Extra programs for Energy Plus, 2010

피인용 문헌

  1. Study on Extension of Standard Meteorological Data for Cities in South Korea Using ISO 15927-4 vol.8, pp.11, 2017, https://doi.org/10.3390/atmos8110220