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

Michael Deceglie, Matthew Muller, Dirk Jordan, Christopher Deline

Materials Science

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

9 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.

NREL 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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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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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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",

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doi = "10.1109/PVSC40753.2019.8981183",

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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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AU - Muller, Matthew

AU - Jordan, Dirk

AU - Deline, Christopher

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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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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

Abstract

Conference

Bibliographical note

NREL Publication Number

Keywords

UN SDGs

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