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

  • 유호천 (울산대학교 건축학부) ;
  • 이관호 (울산과학대학 공간디자인학부) ;
  • 박소희 (울산대학교 건축학부 대학원)
  • Yoo, Ho-Chun (School of Architecture, University of Ulsan) ;
  • Lee, Kwan-Ho (School of Space design, Ulsan College) ;
  • Park, So-Hee (School of Architecture, Graduate School, University of Ulsan)
  • 발행 : 2008.08.29

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 $R^2$(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.

키워드

참고문헌

  1. S Younes, Muneer T, Improvements in solar radiation models based on cloud data , Building Service Engineering Research Technology, pp. 41-54, 2006
  2. Fritz Kasten and Gerhard Czeplak, Solar and Terrestrial Radiation Dependent on the Amount and Type of Cloud , Solar Energy, pp. 177-89, 1980
  3. Gul M, Muneer T, Models for obtaining solar radiation from other meteorological data , Solar Energy, pp. 99-108, 1998
  4. Muneer T, Gul M. Evaluation of sunshine and cloud cover based models for generating solar radiation data . Enery Conversion Management, pp. 461-82, 2000
  5. Moncef Krarti et al, Development of solar radiation models for tropical locations , ASHRAE 2006
  6. H.C.Yoo et al, Climate Change Test Reference Years for South Korea , 6th Meeting of the CIB W108-Climate Change and The Built Environment, 2007
  7. K.H. Lee, G.J. Levermore, Generation of typical weather data for future climate change for South Korea , 6th Meeting of the CIB W108-Climate Change and The Built Environment, 2007
  8. 유호천 외, 표준기상데이터 형식 분석 및 TRY 가중치 적용 , 한국태양에너지학회논문집, 27(4), pp. 154-165, 2007
  9. 유호천 외, TRY 방법론에 의한 표준일사데이터 평가 , 한국생태환경건축학회논문집, 7 (6), pp. 23-28, 2007
  10. 유호천 외, 서울지역의 표준기상데이터 산출방법론 비교 , 한국태양에너지학회논문집, 28(2), pp. 10-18, 2008