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

Michael Deceglie; Matthew Muller; Dirk Jordan; Christopher Deline

doi:10.1109/PVSC40753.2019.8981183

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

Materials Science

Research output: Contribution to conference › Paper › peer-review

11 Scopus Citations

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.

Original language	American English
Pages	3111-3114
Number of pages	4
DOIs	https://doi.org/10.1109/PVSC40753.2019.8981183 https://doi.org/10.1109/PVSC40753.2019.8981183
State	Published - Jun 2019
Event	46th IEEE Photovoltaic Specialists Conference, PVSC 2019 - Chicago, United States Duration: 16 Jun 2019 → 21 Jun 2019

Conference

Conference	46th IEEE Photovoltaic Specialists Conference, PVSC 2019
Country/Territory	United States
City	Chicago
Period	16/06/19 → 21/06/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

NLR Publication Number

NREL/CP-5K00-73531

Keywords

Monte Carlo methods
Open source software
photovoltaic cells
photovoltaic systems
semiconductor device reliability
solar energy
solar panels
surface contamination
time series analysis

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Deceglie, M., Muller, M., Jordan, D., & Deline, C. (2019). Numerical Validation of an Algorithm for Combined Soiling and Degradation Analysis of Photovoltaic Systems. 3111-3114. Paper presented at 46th IEEE Photovoltaic Specialists Conference, PVSC 2019, Chicago, United States. https://doi.org/10.1109/PVSC40753.2019.8981183, https://doi.org/10.1109/PVSC40753.2019.8981183

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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.",

keywords = "Monte Carlo methods, Open source software, photovoltaic cells, photovoltaic systems, semiconductor device reliability, solar energy, solar panels, surface contamination, time series analysis",

author = "Michael Deceglie and Matthew Muller and Dirk Jordan and Christopher Deline",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 46th IEEE Photovoltaic Specialists Conference, PVSC 2019 ; Conference date: 16-06-2019 Through 21-06-2019",

year = "2019",

month = jun,

doi = "10.1109/PVSC40753.2019.8981183",

language = "American English",

pages = "3111--3114",

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Deceglie, M , Muller, M , Jordan, D & Deline, C 2019, 'Numerical Validation of an Algorithm for Combined Soiling and Degradation Analysis of Photovoltaic Systems', Paper presented at 46th IEEE Photovoltaic Specialists Conference, PVSC 2019, Chicago, United States, 16/06/19 - 21/06/19 pp. 3111-3114. https://doi.org/10.1109/PVSC40753.2019.8981183, https://doi.org/10.1109/PVSC40753.2019.8981183

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T1 - Numerical Validation of an Algorithm for Combined Soiling and Degradation Analysis of Photovoltaic Systems

AU - Deceglie, Michael

AU - Muller, Matthew

AU - Jordan, Dirk

AU - Deline, Christopher

PY - 2019/6

Y1 - 2019/6

N2 - 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.

AB - 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.

KW - Monte Carlo methods

KW - Open source software

KW - photovoltaic cells

KW - photovoltaic systems

KW - semiconductor device reliability

KW - solar energy

KW - solar panels

KW - surface contamination

KW - time series analysis

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DO - 10.1109/PVSC40753.2019.8981183

M3 - Paper

AN - SCOPUS:85081556239

SP - 3111

EP - 3114

T2 - 46th IEEE Photovoltaic Specialists Conference, PVSC 2019

Y2 - 16 June 2019 through 21 June 2019

ER -

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

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Keywords

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