Validation of Photovoltaic Spectral Effects Derived From Satellite-Based Solar Irradiance Products

• Main Authors: Pelland, Sophie, Gueymard, Christian A.
• Format: Other/Unknown Material
• Language: unknown
• Published: Institute of Electrical and Electronics Engineers (IEEE) 2022
• Subjects: Merra; Aerosol Robotic Network
• Online Access: http://dx.doi.org/10.36227/techrxiv.20089658; https://ndownloader.figshare.com/files/35936381

The Satellite Application Facility on Climate Monitoring (CM-SAF) Spectral Resolved Irradiance (SRI) and National Renewable Energy Laboratory National Solar Radiation Database Spectral on Demand (NSRDB-S) satellite-based spectral irradiance products are tested here against benchmark data and models at seven ground stations: one in Spain for CM-SAF SRI and six in North America for NSRDB-S. Benchmarks include WISER spectroradiometers, spectra modeled from SolarSIM-G measurements and the SMARTS radiative code with two alternate input sources: AErosol RObotic NETwork (AERONET) and the Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2) reanalysis. The satellite products are tested in terms of their ability to estimate photovoltaic (PV) spectral effects for six PV module technologies. The spectra are also compared directly under clear-sky conditions. Both CM-SAF SRI and NSRDB-S outperform the simple benchmark of neglecting spectral effects in terms of predicting instantaneous spectral mismatch factors, but only CM-SAF SRI generally does better at predicting long-term spectral derate factors. The clear-sky results reveal systematic differences between NSRDB-S and benchmark spectra, likely due to the NSRDB-S treatment of aerosols. Meanwhile, the mean SMARTS spectra with AERONET and MERRA-2 inputs are in good agreement, showing promise for the use of MERRA-2 as input to clear-sky models.