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Deville_SAND2023-03207C-1

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Deville_SAND2023-03207C-1

Sandia National Laboratories is a multimission laboratory managed and operated by National Technology 312149‐160. doi10.1002/pip.3615 Nameplate deviation of SLTE systems located at Sandia, NREL, and FSEC 6 Data Preparation Raw data from weather station 100 Initial data availability 98 Recorded snow 96 Solar Elevation 15x90 36 Effective Irradiance 50x1200 W/m2 35 Ambient Temperature -10x40 C 34 Current vs Irradiance 30 around slope 32 Average amount of data remaining for any given system 32 - 2 - 2 - 1 - 1 - 2 - 60 7 All models came from pvlib-python Perez has 11 variations of coefficients Compared against measured POA from a pyranometer POA Transposition Models ➢Isotropic ➢Perez using a location specific Perez model did improve the model’s accuracy - Temperature models’ RMSE improved up to 2.2 ℃ with transient assumptions on cloudy days; these models are even more important for locations with dynamic conditions - The performance models exhibited NMBE within 2.3 but differences can be seen at varying levels of irradiance, times of day, and times of year - Model complexity does not guarantee any greater accuracy - Input module data could be more significant than the model - This analysis allowed for an apples-to-apples comparison, whereas in our blind modeling comparison efforts the outcomes were dominated by modeler skill and derate assumptions - Future work will include the creation of validation test protocols to reduce modeling errors and create a pathway towards standardized model validation Thank you Lelia Deville lmdevilsandia.gov Solar Energy Technologies Office Award Number 38267 Please join the PVPMC at https//pvpmc.sandia.gov/ Contribute, and help increase confidence in PV system performance

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