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운량을 고려한 국내 16개 지역의 일사량 예측방법

A Study on the Solar Radiation Estimation of 16 Areas in Korea Using Cloud Cover

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참고문헌

키워드

주제분류기타공학

초록

Radiation data are the best source of information for estimating average incident radiation. Lacking this or data from nearby locations of similar climate, it is possible to use empirical relationships to estimate radiation from days of cloudiness. It is necessary to estimate the regression coefficients in order to predict the daily global radiation on a horizontal surface. Therefore many different equations have proposed to evaluate them for certain areas. In this work a new correlation has been made to predict the solar radiation for 16 different areas over Korea by estimating the regression coefficients taking into account cloud cover. Particularly, the straight line regression model proposed shows reliable results for estimating the global radiation on a horizontal surface with monthly average deviation of -0.26 to +0.53% and each station annual average deviation of -1.61 to +1.7% from measured values.

Abstract

Radiation data are the best source of information for estimating average incident radiation. Lacking this or data from nearby locations of similar climate, it is possible to use empirical relationships to estimate radiation from days of cloudiness. It is necessary to estimate the regression coefficients in order to predict the daily global radiation on a horizontal surface. Therefore many different equations have proposed to evaluate them for certain areas. In this work a new correlation has been made to predict the solar radiation for 16 different areas over Korea by estimating the regression coefficients taking into account cloud cover. Particularly, the straight line regression model proposed shows reliable results for estimating the global radiation on a horizontal surface with monthly average deviation of -0.26 to +0.53% and each station annual average deviation of -1.61 to +1.7% from measured values.

참고문헌 (4)

  1. H.P.Garg, "Treatise on Solar Energy" (1982), John Wiley
  2. J.A.Duffie, "Solar Engineering of Thermal Process" (1991), John Wiley & Sons
  3. 기상청, "기상년.월보", ~ (1982)
  4. Montogomery, "Design and Analysis of Experimental" (1981), John Wiley & Sons

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