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Impact of duration and missing data on the long-term photovoltaic degradation rate estimation

Author

Listed:
  • Romero-Fiances, Irene
  • Livera, Andreas
  • Theristis, Marios
  • Makrides, George
  • Stein, Joshua S.
  • Nofuentes, Gustavo
  • de la Casa, Juan
  • Georghiou, George E.

Abstract

Accurate quantification of photovoltaic (PV) system degradation rate (RD) is essential for lifetime yield predictions. Although RD is a critical parameter, its estimation lacks a standardized methodology that can be applied on outdoor field data. The purpose of this paper is to investigate the impact of time period duration and missing data on RD by analyzing the performance of different techniques applied to synthetic PV system data at different linear RD patterns and known noise conditions. The analysis includes the application of different techniques to a 10-year synthetic dataset of a crystalline Silicon PV system, with emulated degradation levels and imputed missing data. The analysis demonstrated that the accuracy of ordinary least squares (OLS), year-on-year (YOY), autoregressive integrated moving average (ARIMA) and robust principal component analysis (RPCA) techniques is affected by the evaluation duration with all techniques converging to lower RD deviations over the 10-year evaluation, apart from RPCA at high degradation levels. Moreover, the estimated RD is strongly affected by the amount of missing data. Filtering out the corrupted data yielded more accurate RD results for all techniques. It is proven that the application of a change-point detection stage is necessary and guidelines for accurate RD estimation are provided.

Suggested Citation

  • Romero-Fiances, Irene & Livera, Andreas & Theristis, Marios & Makrides, George & Stein, Joshua S. & Nofuentes, Gustavo & de la Casa, Juan & Georghiou, George E., 2022. "Impact of duration and missing data on the long-term photovoltaic degradation rate estimation," Renewable Energy, Elsevier, vol. 181(C), pages 738-748.
    • Handle: RePEc:eee:renene:v:181:y:2022:i:c:p:738-748
    DOI: 10.1016/j.renene.2021.09.078
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    1. Limmanee, Amornrat & Udomdachanut, Nuttakarn & Songtrai, Sasiwimon & Kaewniyompanit, Songpakit & Sato, Yukinobu & Nakaishi, Masaki & Kittisontirak, Songkiate & Sriprapha, Kobsak & Sakamoto, Yukitaka, 2016. "Field performance and degradation rates of different types of photovoltaic modules: A case study in Thailand," Renewable Energy, Elsevier, vol. 89(C), pages 12-17.
    2. Sascha Lindig & Atse Louwen & David Moser & Marko Topic, 2020. "Outdoor PV System Monitoring—Input Data Quality, Data Imputation and Filtering Approaches," Energies, MDPI, vol. 13(19), pages 1-18, September.
    3. Alexander Frick & George Makrides & Markus Schubert & Matthias Schlecht & George E. Georghiou, 2020. "Degradation Rate Location Dependency of Photovoltaic Systems," Energies, MDPI, vol. 13(24), pages 1-20, December.
    4. Sean J. Taylor & Benjamin Letham, 2018. "Forecasting at Scale," The American Statistician, Taylor & Francis Journals, vol. 72(1), pages 37-45, January.
    5. Micheli, Leonardo & Theristis, Marios & Talavera, Diego L. & Almonacid, Florencia & Stein, Joshua S. & Fernández, Eduardo F., 2020. "Photovoltaic cleaning frequency optimization under different degradation rate patterns," Renewable Energy, Elsevier, vol. 166(C), pages 136-146.
    6. Quansah, David A. & Adaramola, Muyiwa S., 2019. "Assessment of early degradation and performance loss in five co-located solar photovoltaic module technologies installed in Ghana using performance ratio time-series regression," Renewable Energy, Elsevier, vol. 131(C), pages 900-910.
    7. Irene Romero-Fiances & Emilio Muñoz-Cerón & Rafael Espinoza-Paredes & Gustavo Nofuentes & Juan De la Casa, 2019. "Analysis of the Performance of Various PV Module Technologies in Peru," Energies, MDPI, vol. 12(1), pages 1-19, January.
    8. Micheli, Leonardo & Theristis, Marios & Talavera, Diego L. & Almonacid, Florencia & Stein, Joshua S. & Fernandez, Eduardo F., 2020. "Photovoltaic Cleaning Frequency Optimization Under Different Degradation Rate Patterns," MPRA Paper 105008, University Library of Munich, Germany, revised 07 Oct 2020.
    9. Ozden, Talat & Akinoglu, Bulent G. & Turan, Rasit, 2017. "Long term outdoor performances of three different on-grid PV arrays in central Anatolia – An extended analysis," Renewable Energy, Elsevier, vol. 101(C), pages 182-195.
    10. Phinikarides, Alexander & Makrides, George & Zinsser, Bastian & Schubert, Markus & Georghiou, George E., 2015. "Analysis of photovoltaic system performance time series: Seasonality and performance loss," Renewable Energy, Elsevier, vol. 77(C), pages 51-63.
    11. Kichou, Sofiane & Silvestre, Santiago & Nofuentes, Gustavo & Torres-Ramírez, Miguel & Chouder, Aissa & Guasch, Daniel, 2016. "Characterization of degradation and evaluation of model parameters of amorphous silicon photovoltaic modules under outdoor long term exposure," Energy, Elsevier, vol. 96(C), pages 231-241.
    12. Livera, Andreas & Theristis, Marios & Makrides, George & Georghiou, George E., 2019. "Recent advances in failure diagnosis techniques based on performance data analysis for grid-connected photovoltaic systems," Renewable Energy, Elsevier, vol. 133(C), pages 126-143.
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    1. Or Gindi & Zeev Fradkin & Anat Itzhak & Peter Beker, 2023. "Lowering the Temperature and Increasing the Fill Factor of Silicon Solar Cells by Filtering of Sub-Bandgap Wavelengths," Energies, MDPI, vol. 16(15), pages 1-15, July.
    2. Andreas Livera & Georgios Tziolis & Marios Theristis & Joshua S. Stein & George E. Georghiou, 2023. "Estimating the Performance Loss Rate of Photovoltaic Systems Using Time Series Change Point Analysis," Energies, MDPI, vol. 16(9), pages 1-18, April.

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