Evaluation and Suitability of Using SERI QC Software for Estimating Measurement Uncertainty

Stephen Wilcox, Thomas Stoffel, Aron Habte, Aron Habte (NREL Technical Monitor)

Research output: NRELSubcontract Report


SERI QC is a robust solar data quality assessment software tool that has been in continuous use for more than three decades. This report (the first of six in the Data Quality and Uncertainty Integration project) reviews and evaluates the software to determine its suitability for determining the estimated expanded measurement uncertainty of solar measurement data by including operational factors. Using redundancy incorporated in three-component (global, direct, diffuse) solar measurements, SERI QC can quantify the standard uncertainty estimates for estimating uncertainty. With minor modifications, SERI QC will provide an operational uncertainty to be used in conjunction with the National Renewable Energy Laboratory method for instrument uncertainty to provide an integrated estimate of solar measurement data sets. These modifications will capitalize on SERI QC's evaluation of data quality, including data input validation and a variety of built-in solar routines, and will further develop the utility of the software.
Original languageAmerican English
Number of pages42
StatePublished - 2022

NREL Publication Number

  • NREL/SR-5D00-82913


  • assessment
  • data quality
  • solar
  • solar radiation
  • validation


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