A Scalable Method for Extracting Soiling Rates from PV Production Data

Conference · Mon Nov 21 00:00:00 EST 2016

DOI:https://doi.org/10.1109/PVSC.2016.7749992· OSTI ID:1343481

Deceglie, Michael G.; Muller, Matthew; Defreitas, Zoe; Kurtz, Sarah

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. The method enables straightforward application to a large number of sites with minimal parameterization of data-filtering requirements. Furthermore, it enables statistical confidence intervals and comparisons between sites.

• Research Organization: National Renewable Energy Lab. (NREL), Golden, CO (United States)
• Sponsoring Organization: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office
• DOE Contract Number: AC36-08GO28308
• OSTI ID: 1343481
• Report Number(s): NREL/CP-5J00-67930
• Resource Relation: Conference: Presented at the 2016 IEEE 43rd Photovoltaic Specialists Conference (PVSC), 5-10 June 2016, Portland, Oregon
• Country of Publication: United States
• Language: English

Related Subjects

14 SOLAR ENERGY
47 OTHER INSTRUMENTATION
production
data mining
temperature measurement
time series analysis
soil
rain