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신재생에너지 국가참조표준 시스템 구축 및 개발 - 모델 기반 표준기상년

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

  • 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)
  • 투고 : 2024.02.23
  • 심사 : 2024.03.12
  • 발행 : 2024.03.25

초록

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.

키워드

과제정보

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

참고문헌

  1. Wilcox, S., and Marion, W., 2008, "Users manual for TMY3 data sets", NREL Technical Report, https://www.nrel.gov/docs/fy08osti/43156.pdf.
  2. Munoz Sabater, J., 2019, "ERA5-Land hourly data from 1950 to present", Copernicus Climate Change Service (C3S) Climate Data Store (CDS), Accessed 23 February 2024, DOI: 10.24381/cds.e2161bac.
  3. Kim, C.K., Leuthold, M., Holmgren, W.F., Cronin, A.D., and Betterton, E.A., 2016, "Toward improved solar irradiance forecasts: a Simulation of deep planetary boundary layer with scattered clouds using the weather research and forecasting model", Pure Appl. Geophys., 173, 637-655. https://doi.org/10.1007/s00024-015-1072-3
  4. Kim, C.K., Kim, H.G., Kang, Y.H, and Yun, C.Y., 2017, "Toward improved solar irradiance forecasts: Comparison of the global horizontal irradiance derived from the COMS satellite imagery over the Korean Peninsula", Pure Appl. Geophys., 174, 2773-2792. https://doi.org/10.1007/s00024-017-1578-y