Synthetic PV Performance Data - Metadata

The time series files contain synthetic PV performance data and associated meteorological data for 38 sites across the US, where historic irradiance and rainfall are inputs to the PV performance. Challenges and physical problems typically experienced with PV systems are built into the datasets so that the resulting data can be used for testing algorithms developed to evaluate degradation rates, soiling losses, tracker performance, or other PV issues. For example soiling in dry environments, pollen or bio-soiling in rainy environments, string outages, utility curtailment, inverter clipping, permanent PV system degradation, tracker stalls, misalignment between array and irradiance sensor, system self-shading, and data noise are all modeled into the synthetic data where the user is provided the details of each of these impacts on the final synthetic data streams.

Published documentation for the simulated data: M. Muller, Anderson, K., & Deceglie, M. (2023). Generating Synthetic Time Series Photovoltaic Data with Real-World Physical Challenges and Noise for Use in Algorithm Test and Validation.

DOI 10.21948/1999772

Dataset Metadata