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

Abstract

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.

Authors:
; ; ;
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Solar Energy Technologies Office (EE-4S)
OSTI Identifier:
1259447
Report Number(s):
NREL/CP-5J00-65763
DOE Contract Number:
AC36-08GO28308
Resource Type:
Conference
Resource Relation:
Conference: Presented at the 43rd IEEE Photovoltaic Specialists Conference, 5-10 June 2016, Portland, Oregon
Country of Publication:
United States
Language:
English
Subject:
14 SOLAR ENERGY; 36 MATERIALS SCIENCE; photovoltaics; soiling

Citation Formats

Deceglie, Michael G., Muller, Matthew, Kurtz, Sarah, and Defreitas, Zoe. Scalable Method for Extracting Soiling Rates from PV Production Data: Preprint. United States: N. p., 2016. Web. doi:10.1109/PVSC.2016.7749992.
Deceglie, Michael G., Muller, Matthew, Kurtz, Sarah, & Defreitas, Zoe. Scalable Method for Extracting Soiling Rates from PV Production Data: Preprint. United States. doi:10.1109/PVSC.2016.7749992.
Deceglie, Michael G., Muller, Matthew, Kurtz, Sarah, and Defreitas, Zoe. Tue . "Scalable Method for Extracting Soiling Rates from PV Production Data: Preprint". United States. doi:10.1109/PVSC.2016.7749992. https://www.osti.gov/servlets/purl/1259447.
@article{osti_1259447,
title = {Scalable Method for Extracting Soiling Rates from PV Production Data: Preprint},
author = {Deceglie, Michael G. and Muller, Matthew and Kurtz, Sarah and Defreitas, Zoe},
abstractNote = {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.},
doi = {10.1109/PVSC.2016.7749992},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Jun 21 00:00:00 EDT 2016},
month = {Tue Jun 21 00:00:00 EDT 2016}
}

Conference:
Other availability
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