A Scalable Method for Extracting Soiling Rates from PV Production Data

Research output: Contribution to conferencePaperpeer-review

27 Scopus Citations


We present a method for analyzing time series production data from photovoltaic systems to extract the rate at which energy yield is affected by the accumulation of dust, dirt, and other forms of soiling. We describe an approach that is based on prevailing methods, which consider the change in energy production during dry periods. The method described here builds upon these methods by considering a statistical sample of soiling intervals from each site under consideration and utilizing the robust Theil-Sen estimator for slope extraction from these intervals. The method enables straightforward application to a large number of sites with minimal parameterization or data-filtering requirements. Furthermore, it enables statistical confidence intervals and comparisons between sites.

Original languageAmerican English
Number of pages5
StatePublished - 18 Nov 2016
Event43rd IEEE Photovoltaic Specialists Conference, PVSC 2016 - Portland, United States
Duration: 5 Jun 201610 Jun 2016


Conference43rd IEEE Photovoltaic Specialists Conference, PVSC 2016
Country/TerritoryUnited States

Bibliographical note

See NREL/CP-5J00-65763 for preprint

NREL Publication Number

  • NREL/CP-5J00-67930


  • data mining
  • production
  • rain
  • soil
  • temperature measurement
  • time series analysis


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