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A Basic Study to Predict Solar Insolation using Meteorological Observation Data in Korea

국내 기상 측정결과를 이용한 일사량 예측 방법 기초 연구

  • Hwangbo, Seong (Department of Energy System Engineering, Korea National University of Transportation) ;
  • Kim, Hayang (Department of Energy System Engineering, Korea National University of Transportation) ;
  • Kim, Jeongbae (Department of Energy System Engineering, Korea National University of Transportation)
  • 황보성 (한국교통대학교 에너지시스템공학과) ;
  • 김하양 (한국교통대학교 에너지시스템공학과) ;
  • 김정배 (한국교통대학교 에너지시스템공학과)
  • Received : 2014.11.06
  • Accepted : 2014.11.18
  • Published : 2014.11.30

Abstract

To well design the solar energy system using solar energy, the correlation to calculate solar irradiation is basically needed. So, this study was performed to reveal the relationships between the solar irradiation and four meteorological observation data(dry bulb temperature, relative humidity, sunshine duration, and cloud cover) which are different from previous other researches. And then, we finally proposed the first order non-linear correlation from the measured solar irradiation using four meteorological observation data with MINITAB. To show the deviation of the solar irradiation between measured and calculated, this study compared using the daily total solar irradiance and the maximum peak value. From those results, the calculation error was estimated about maximum 25.4% for the daily total solar irradiance. The error of the solar irradiation between measured and calculated was made from the curve fitting error. So, solar irradiation prediction correlation with higher accuracy can be obtained using 2nd or higher order terms with four meteorological observation data.

Keywords