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
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초록
Since 1990, the Renewable Big Data Research Lab at the Korea Institute of Energy Technology has been observing solarradiation at 16 sites across South Korea. Serving as the National Reference Standard Data Center for Renewable Energy since 2012, itproduces essential data for the sector. By 2020, it standardized meteorological year data from 22 sites. Despite user demand for data fromapproximately 260 sites, equivalent to South Korea's municipalities, this need exceeds the capability of measurement-based data. Inresponse, our team developed a method to derive solar radiation data from satellite images, covering South Korea in 400,000 grids of 500m × 500 m each. Utilizing satellite-derived data and ERA5-Land reanalysis data from the European Centre for Medium-Range WeatherForecasts (ECMWF), we produced standard meteorological year data for 1,000 sites. Our research also focused on data measurementtraceability and uncertainty estimation, ensuring the reliability of our model data and the traceability of existing measurement-based data.
Abstract
Since 1990, the Renewable Big Data Research Lab at the Korea Institute of Energy Technology has been observing solarradiation at 16 sites across South Korea. Serving as the National Reference Standard Data Center for Renewable Energy since 2012, itproduces essential data for the sector. By 2020, it standardized meteorological year data from 22 sites. Despite user demand for data fromapproximately 260 sites, equivalent to South Korea's municipalities, this need exceeds the capability of measurement-based data. Inresponse, our team developed a method to derive solar radiation data from satellite images, covering South Korea in 400,000 grids of 500m × 500 m each. Utilizing satellite-derived data and ERA5-Land reanalysis data from the European Centre for Medium-Range WeatherForecasts (ECMWF), we produced standard meteorological year data for 1,000 sites. Our research also focused on data measurementtraceability and uncertainty estimation, ensuring the reliability of our model data and the traceability of existing measurement-based data.
참고문헌 (4)
- "Users manual for TMY3 data sets" (2008)[URL]
- ERA5-Land hourly data from 1950 to present, "Munoz Sabater, J.", Copernicus Climate Change Service (C3S) Climate Data Store (CDS), ~ (2019)
- Kim, C. K., "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, pp.637~655 (2016)
- Kim, C. K., "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, pp.2773~2792 (2017)