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Title: Time Series Analysis of Photovoltaic Soiling Station Data: Version 1.0, August 2017

Abstract

The time series data from PV soiling stations, operating in the USA, at different time periods are analyzed and presented. The current version of the paper includes twenty stations operating between 2013 and 2016, but the paper is intended to be periodically updated as more stations and more data become available. The challenges in working with soiling stations data are discussed, including measurement methodology, quality controls, and measurement uncertainty. The soiling profiles of the soiling stations are made available so that the PV community can make use of this data to guide operations and maintence decisions, estimate soiling derate in performance models, and more generally come to a better understanding of the challenges associated with the variability of PV soiling.

Authors:
ORCiD logo [1];  [1];  [1];  [1]
  1. National Renewable Energy Lab. (NREL), Golden, CO (United States)
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:
1390775
Report Number(s):
NREL/TP-5J00-69131
DOE Contract Number:  
AC36-08GO28308
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
14 SOLAR ENERGY; soiling; O&M; derate; soiling QC; uncertainty

Citation Formats

Micheli, Leonardo, Muller, Matthew T., Deceglie, Michael G., and Ruth, Daniel. Time Series Analysis of Photovoltaic Soiling Station Data: Version 1.0, August 2017. United States: N. p., 2017. Web. doi:10.2172/1390775.
Micheli, Leonardo, Muller, Matthew T., Deceglie, Michael G., & Ruth, Daniel. Time Series Analysis of Photovoltaic Soiling Station Data: Version 1.0, August 2017. United States. doi:10.2172/1390775.
Micheli, Leonardo, Muller, Matthew T., Deceglie, Michael G., and Ruth, Daniel. Mon . "Time Series Analysis of Photovoltaic Soiling Station Data: Version 1.0, August 2017". United States. doi:10.2172/1390775. https://www.osti.gov/servlets/purl/1390775.
@article{osti_1390775,
title = {Time Series Analysis of Photovoltaic Soiling Station Data: Version 1.0, August 2017},
author = {Micheli, Leonardo and Muller, Matthew T. and Deceglie, Michael G. and Ruth, Daniel},
abstractNote = {The time series data from PV soiling stations, operating in the USA, at different time periods are analyzed and presented. The current version of the paper includes twenty stations operating between 2013 and 2016, but the paper is intended to be periodically updated as more stations and more data become available. The challenges in working with soiling stations data are discussed, including measurement methodology, quality controls, and measurement uncertainty. The soiling profiles of the soiling stations are made available so that the PV community can make use of this data to guide operations and maintence decisions, estimate soiling derate in performance models, and more generally come to a better understanding of the challenges associated with the variability of PV soiling.},
doi = {10.2172/1390775},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2017},
month = {9}
}

Technical Report:

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