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Title: Numerical Validation of an Algorithm for Combined Soiling and Degradation Analysis of Photovoltaic Systems

Abstract

We describe and demonstrate an open-source algorithm for simultaneously quantifying degradation and soiling of photovoltaic (PV) systems from energy-production time series data. The new analysis is based on year-on-year degradation rate analysis combined with stochastic rate and recovery soiling analysis. The algorithm is designed to fit into the workflow provided by RdTools, a Python module maintained by NREL and collaboratively developed with the community, which provides a framework and functions for degradation and loss-factor analysis of PV field data. We demonstrate the method on numerically simulated PV data sets and show that it reduces the root-mean-square error of the P50 degradation rate estimate when soiling is present.

Authors:
 [1];  [1];  [1]; ORCiD logo [1]
  1. National Renewable Energy Laboratory (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:
1603900
Report Number(s):
NREL/CP-5K00-73531
DOE Contract Number:  
AC36-08GO28308
Resource Type:
Conference
Resource Relation:
Conference: Presented at the 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC), 16-21 June 2019, Chicago, Illinois
Country of Publication:
United States
Language:
English
Subject:
14 SOLAR ENERGY; 97 MATHEMATICS AND COMPUTING; open source software; Monte Carlo methods; photovoltaic cells; photovoltaic systems; surface contamination; solar energy; solar panels; time series analysis; semiconductor device reliability

Citation Formats

Deceglie, Michael G, Muller, Matthew, Jordan, Dirk, and Deline, Christopher A. Numerical Validation of an Algorithm for Combined Soiling and Degradation Analysis of Photovoltaic Systems. United States: N. p., 2020. Web. doi:10.1109/PVSC40753.2019.8981183.
Deceglie, Michael G, Muller, Matthew, Jordan, Dirk, & Deline, Christopher A. Numerical Validation of an Algorithm for Combined Soiling and Degradation Analysis of Photovoltaic Systems. United States. doi:10.1109/PVSC40753.2019.8981183.
Deceglie, Michael G, Muller, Matthew, Jordan, Dirk, and Deline, Christopher A. Thu . "Numerical Validation of an Algorithm for Combined Soiling and Degradation Analysis of Photovoltaic Systems". United States. doi:10.1109/PVSC40753.2019.8981183.
@article{osti_1603900,
title = {Numerical Validation of an Algorithm for Combined Soiling and Degradation Analysis of Photovoltaic Systems},
author = {Deceglie, Michael G and Muller, Matthew and Jordan, Dirk and Deline, Christopher A},
abstractNote = {We describe and demonstrate an open-source algorithm for simultaneously quantifying degradation and soiling of photovoltaic (PV) systems from energy-production time series data. The new analysis is based on year-on-year degradation rate analysis combined with stochastic rate and recovery soiling analysis. The algorithm is designed to fit into the workflow provided by RdTools, a Python module maintained by NREL and collaboratively developed with the community, which provides a framework and functions for degradation and loss-factor analysis of PV field data. We demonstrate the method on numerically simulated PV data sets and show that it reduces the root-mean-square error of the P50 degradation rate estimate when soiling is present.},
doi = {10.1109/PVSC40753.2019.8981183},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2020},
month = {2}
}

Conference:
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