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Derivation of Typical Meteorological Year of Daejeon from Satellite-Based Solar Irradiance

위성영상 기반 일사량을 활용한 대전지역 표준기상년 데이터 생산

  • Kim, Chang Ki (New and Renewable Energy Resource & Policy Center, Korea Institute of Energy Research) ;
  • Kim, Shin-Young (New and Renewable Energy Resource & Policy Center, Korea Institute of Energy Research/School of Electrical Engineering, Korea University) ;
  • Kim, Hyun-Goo (New and Renewable Energy Resource & Policy Center, Korea Institute of Energy Research) ;
  • Kang, Yong-Heack (New and Renewable Energy Resource & Policy Center, Korea Institute of Energy Research) ;
  • Yun, Chang-Yeol (New and Renewable Energy Resource & Policy Center, Korea Institute of Energy Research)
  • 김창기 (한국에너지기술연구원 신재생에너지자원.정책센터) ;
  • 김신영 (한국에너지기술연구원 신재생에너지자원.정책센터, 고려대학교 전기전자공학과) ;
  • 김현구 (한국에너지기술연구원 신재생에너지자원.정책센터) ;
  • 강용혁 (한국에너지기술연구원 신재생에너지자원.정책센터) ;
  • 윤창열 (한국에너지기술연구원 신재생에너지자원.정책센터)
  • Received : 2018.11.28
  • Accepted : 2018.12.14
  • Published : 2018.12.30

Abstract

Typical Meteorological Year Dataset is necessary for the renewable energy feasibility study. Since National Renewable Energy Laboratory has been built Typical Meteorological Year Dataset in 1978, gridded datasets taken from numerical weather prediction or satellite imagery are employed to produce Typical Meteorological Year Dataset. In general, Typical Meteorological Year Dataset is generated by using long-term in-situ observations. However, solar insolation is not usually measured at synoptic observing stations and therefore it is limited to build the Typical Meteorological Year Dataset with only in-situ observation. This study attempts to build the Typical Meteorological Year Dataset with satellite derived solar insolation as an alternative and then we evaluate the Typical Meteorological Year Dataset made by using satellite derived solar irradiance at Daejeon ground station. The solar irradiance is underestimated when satellite imagery is employed.

Keywords

References

  1. Wilcox, S., and Marion, W., Users manual for TMY3 data sets, NREL/TP-581-43156, NREL, Golden, CO, USA., 2008.
  2. National Center for Standard Reference Data, https://www.srd.re.kr:446/db/dbList.do?selectedId=S06001003
  3. The Korean Solar Energy Society, http://www.kses.re.kr/data_06/list_hi.php
  4. Jee, J.-B., Lee, S.-W., Choi, Y.-J., and Lee, K.-T., The Generation of Typical Meteorological Year for Research of the Solar Energy on the Korean Peninsula, New and Renewable Energy, Vol. 8, No. 2, pp. 14-23, 2012. https://doi.org/10.7849/ksnre.2012.8.2.014
  5. Lee, H.-J., Kim S.-Y., and Yun C.-Y., Generation of Typical Meteorological Year Data Suitable for Solar Energy Systems and Analysis of Solar Irradiance Data, New and Renewable Energy, Vol. 13, No. 3, pp. 24-33, 2017. https://doi.org/10.7849/ksnre.2017.9.13.3.024
  6. Finkelstein, J. M., and Schafer, R. E., Improved goodnessof-fit tests, Biometrika, Vol. 58, pp. 641-645, 1971. https://doi.org/10.1093/biomet/58.3.641
  7. Kim, C. K., Holmgren, W. F., Stovern, M., and Betterton E. A., Toward Improved Solar Irradiance Forecasts: Derivation of Downwelling Surface Shortwave Radiation in Arizona from Satellite, Pure Appl. Geophys., Vol. 173, pp. 2535-2553, 2016a. https://doi.org/10.1007/s00024-016-1302-3
  8. Kim, C. K., Holmgren, W. F., Stovern, M., and Betterton E. A., Toward Improved Solar Irradiance Forecasts: Comparison of Downwelling Surface Shortwave Radiation in Arizona from Satellite, Pure Appl. Geophys., Vol. 173, pp. 2929-2943, 2016b. https://doi.org/10.1007/s00024-016-1307-y
  9. Kim, C. K., Kim, H.-G., Kang, Y.-H., and Yun, C.-Y., Toward Improved Solar Irradiance Forecasts: Comparison of the Global Horizontal Irradiances Derived from the COMS Satellite Imagery Over the Korean Peninsula, Pure Appl. Geophys., Vol. 174, pp. 2773-2792, 2017. https://doi.org/10.1007/s00024-017-1578-y
  10. Kim, C. K., Kim, H.-G., Kang, Y.-H., Yun, C.-Y., and Lee, S.-N., Evaluation of Global Horizontal Irradiance Dervied From CLAVR-x Model and COMS Imagery Over the Korean Peninsula, New and Renewable Energy, Vol. 12, pp. 13-20, 2016.