Scalable Method for Extracting Soiling Rates from PV Production Data: Preprint

Conference · Tue Jun 21 00:00:00 EDT 2016

DOI:https://doi.org/10.1109/PVSC.2016.7749992· OSTI ID:1259447

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

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: 1259447
• Report Number(s): NREL/CP-5J00-65763
• Resource Relation: Conference: Presented at the 43rd IEEE Photovoltaic Specialists Conference, 5-10 June 2016, Portland, Oregon
• Country of Publication: United States
• Language: English

Related Subjects

14 SOLAR ENERGY
36 MATERIALS SCIENCE
photovoltaics
soiling