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In Reunion, where the objective is a 100% renewable electricity mix by 2030, climate variability and complex topography make it difficult to integrate solar energy into the electricity grid. This study aims to compare satellite (SARAH-3) and in-situ (IOS-net) data of global horizontal irradiance (GHI) and direct normal irradiance (DNI). First, the entire methodology was applied to the Reunion BSRN site, then extended to all stations in the IOS-net network. The BSRN site was selected for its different sensors, which measure the three components of solar radiation using SPN1 pyranometers (GHI and diffuse horizontal irradiance, DHI) and CHP1 pyrheliometers (DNI). The BSRN site serves as a reference to assess the accuracy of the SARAH-3 satellite estimates for other IOS-net stations, which are only equipped with SPN1 sensors. This comparison allows us to assess the reliability of satellite data because in-situ data are very accurate but often incomplete. In contrast, satellite data are more systematically available but less accurate due to their dependence on estimation models and a lower spatial and temporal resolution. The study covers data from December 1, 2008 to April 1, 2024, focusing on DNI (2017–2024) for concentrated solar systems and GHI (2008–2024) for PV systems. In-situ data from Reunion are imported from IOS-net, quality-checked according to BSRN criteria, and matched with corresponding satellite data. High-quality measurements, at oneminute resolution, collected since 2008 are used to establish correlations between ground-based and satellite data, potentially filling data gaps and improving solar irradiance predictions. This approach could help estimate GHI and DNI in areas without meteorological stations, thereby identifying new regions with high solar potential.

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Inter-comparison and Validation Against In-Situ Measurements of Satellite Estimates of Incoming Solar Radiation at Reunion BSRN Site

  • 会议论文

  • 发表日期：

    2026年

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  • Erwan Grondin,
  • Dominique Grondin,
  • Mathieu Delsaut,
  • Chao Tang,
  • Mathieu David,
  • Béatrice Morel

摘要

In Reunion, where the objective is a 100% renewable electricity mix by 2030, climate variability and complex topography make it difficult to integrate solar energy into the electricity grid. This study aims to compare satellite (SARAH-3) and in-situ (IOS-net) data of global horizontal irradiance (GHI) and direct normal irradiance (DNI). First, the entire methodology was applied to the Reunion BSRN site, then extended to all stations in the IOS-net network. The BSRN site was selected for its different sensors, which measure the three components of solar radiation using SPN1 pyranometers (GHI and diffuse horizontal irradiance, DHI) and CHP1 pyrheliometers (DNI). The BSRN site serves as a reference to assess the accuracy of the SARAH-3 satellite estimates for other IOS-net stations, which are only equipped with SPN1 sensors. This comparison allows us to assess the reliability of satellite data because in-situ data are very accurate but often incomplete. In contrast, satellite data are more systematically available but less accurate due to their dependence on estimation models and a lower spatial and temporal resolution. The study covers data from December 1, 2008 to April 1, 2024, focusing on DNI (2017–2024) for concentrated solar systems and GHI (2008–2024) for PV systems. In-situ data from Reunion are imported from IOS-net, quality-checked according to BSRN criteria, and matched with corresponding satellite data. High-quality measurements, at oneminute resolution, collected since 2008 are used to establish correlations between ground-based and satellite data, potentially filling data gaps and improving solar irradiance predictions. This approach could help estimate GHI and DNI in areas without meteorological stations, thereby identifying new regions with high solar potential.