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국내 주요도시의 운량데이터를 이용한 전일사 산출 및 비교

Analysis of Data and Calculation of Global Solar Radiation based on Cloud Data for Major Cities in Korea

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참고문헌

키워드

주제분류기타공학

초록

Estimation of typical solar radiation is very important for the calculations concerning many solar applications. But solar radiation measurements are not easily available because of the expensive measuring equipment and techniques required. Accordingly, for regions where no solar radiation is measured, solar radiation need to be estimated using other meteorological data. However, currently in Korea, there is no study on how to do this. In this paper, the global radiation of the six major cities in South Korea where the global radiation is measured using comparatively simple CRM model was calculated compared and analyzed. The comparison between the original coefficient and the site-fitted coefficient for these cities are as follows. Differences between the site-fitted coefficient and the original coefficient for six cities are small. Except for Gwangju, both calculations show strong correlation. In case of Seoul, the R2(coefficient of determination) were 0.747 and 0.749. In case of Busan and Daegu the figures were 0.817, 0.819 and 0.820, 0.821 respectively. For Gwangju, these were 0.618 and 0.622, Thus, the site-fitted coefficients were slightly higher for these four cities. On the other hand, Daejeon and Incheon was reported 0.773, 0.772 and 0.785, 0.783, respectively.

Abstract

Estimation of typical solar radiation is very important for the calculations concerning many solar applications. But solar radiation measurements are not easily available because of the expensive measuring equipment and techniques required. Accordingly, for regions where no solar radiation is measured, solar radiation need to be estimated using other meteorological data. However, currently in Korea, there is no study on how to do this. In this paper, the global radiation of the six major cities in South Korea where the global radiation is measured using comparatively simple CRM model was calculated compared and analyzed. The comparison between the original coefficient and the site-fitted coefficient for these cities are as follows. Differences between the site-fitted coefficient and the original coefficient for six cities are small. Except for Gwangju, both calculations show strong correlation. In case of Seoul, the R2(coefficient of determination) were 0.747 and 0.749. In case of Busan and Daegu the figures were 0.817, 0.819 and 0.820, 0.821 respectively. For Gwangju, these were 0.618 and 0.622, Thus, the site-fitted coefficients were slightly higher for these four cities. On the other hand, Daejeon and Incheon was reported 0.773, 0.772 and 0.785, 0.783, respectively.

참고문헌 (10)

  1. S Younes, "Improvements in s olar radiation models based on cloud dat a", uilding Service Engineering Resear ch Technology, pp.41~54 (2006)
  2. Fritz Kasten, "Solar and Terrestrial Radiation Dependent on t he Amount and Type of Cloud", pp.177~89 (1980), Solar En ergy
  3. Gul M, "Models for obtaining solar radiation from other meteorological data", pp.99~108 (1998), Solar Energy
  4. Muneer T, "Evaluation of sunshin e and cloud cover based models for gene rating solar radiation data", Enery Conv ersion Managementpp.461-82, pp.461~82 (2000), Enery Conv ersion Management
  5. Moncef Krarti, "Development of sol ar radiation models for tropical location s" (2006), ASHRAE
  6. H.C.Yoo, "Climate Change Test Ref erence Years for South Korea", 6th Meeting of the CIB W108 (2007), Climate Change an d The Built Environment
  7. K.H. Lee, "Generation of typical weather data for future climate ch ange for South Korea", 6th Meeting of t he CIB W108 (2007), Climate Change and The B uilt Environment
  8. 유호천, "표준기상데이터 형식 분석 및 TRY 가중치 적용", 한국태양에너지학회 논문집, 27(4), pp.157~166 (2007), 한국태양에너지학회
  9. 유호천, "TRY 방법론에 의한 표준일사량데이터 평가", 한국생태환경건축학회 논문집, 7(6), pp.23~28 (2007), 한국생태환경건축학회
  10. 유호천, "서울지역의 표준기상데이터 산출방법론 비교", 한국태양에너지학회 논문집, 28(2), pp.10~18 (2008), 한국태양에너지학회

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