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System Construction and Data Development of National Standard Reference for Renewable Energy - Model-Based Standard Meteorological Year

신재생에너지 국가참조표준 시스템 구축 및 개발 - 모델 기반 표준기상년

  • Boyoung Kim (Renewable Energy Big Data Laboratory, Korea Institute of Energy Research) ;
  • Chang Ki Kim (Renewable Energy Big Data Laboratory, Korea Institute of Energy Research) ;
  • Chang-yeol Yun (Renewable Energy Institute, Korea Institute of Energy Research) ;
  • Hyun-goo Kim (Renewable Energy Institute, Korea Institute of Energy Research) ;
  • Yong-heack Kang (Renewable Energy Institute, Korea Institute of Energy Research)
  • Received : 2024.02.23
  • Accepted : 2024.03.12
  • Published : 2024.03.25

Abstract

Since 1990, the Renewable Big Data Research Lab at the Korea Institute of Energy Technology has been observing solar radiation at 16 sites across South Korea. Serving as the National Reference Standard Data Center for Renewable Energy since 2012, it produces essential data for the sector. By 2020, it standardized meteorological year data from 22 sites. Despite user demand for data from approximately 260 sites, equivalent to South Korea's municipalities, this need exceeds the capability of measurement-based data. In response, our team developed a method to derive solar radiation data from satellite images, covering South Korea in 400,000 grids of 500 m × 500 m each. Utilizing satellite-derived data and ERA5-Land reanalysis data from the European Centre for Medium-Range Weather Forecasts (ECMWF), we produced standard meteorological year data for 1,000 sites. Our research also focused on data measurement traceability and uncertainty estimation, ensuring the reliability of our model data and the traceability of existing measurement-based data.

Keywords

Acknowledgement

이 연구는 2021년도 산업통상자원부 및 산업기술평가관리원(KEIT) 연구비 지원에 의한 연구입니다(20016225).

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