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위성영상 기반 일사량을 활용한 대전지역 표준기상년 데이터 생산

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

  • 김창기 (한국에너지기술연구원 신재생에너지자원.정책센터) ;
  • 김신영 (한국에너지기술연구원 신재생에너지자원.정책센터, 고려대학교 전기전자공학과) ;
  • 김현구 (한국에너지기술연구원 신재생에너지자원.정책센터) ;
  • 강용혁 (한국에너지기술연구원 신재생에너지자원.정책센터) ;
  • 윤창열 (한국에너지기술연구원 신재생에너지자원.정책센터)
  • 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)
  • 투고 : 2018.11.28
  • 심사 : 2018.12.14
  • 발행 : 2018.12.30

초록

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.

키워드

참고문헌

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