Issue
EPJ Photovolt.
Volume 15, 2024
Special Issue on ‘Advances in French Photovoltaic Research in 2023’, edited by Mohamed Amara, Thomas Fix, Jean-Paul Kleider, Judikaël Le Rouzo and Denis Mencaraglia
Article Number 25
Number of page(s) 19
DOI https://doi.org/10.1051/epjpv/2024022
Published online 29 July 2024
  1. G. Masson, I. Kaizuka, E. Bosch, P. Macé, G. Masson, A. Van Rechem, C. Plaza, M. de l'Epine, A. Jäger-Waldau, J. Lindahl, A.O. Westerberg, Trends in photovoltaic applications, IEA PVPS, IEA-PVPS T1-43:2023, 2023 [Google Scholar]
  2. Renewable energy statistics 2020, 02-Jul-2020. https://www.irena.org/publications/2020/Jul/Renewable-energy-statistics-2020. [Accessed: 14-Mar-2024] [Google Scholar]
  3. N. Bansal, S.P. Jaiswal, G. Singh, Comparative investigation of performance evaluation, degradation causes, impact and corrective measures for ground mount and rooftop solar PV plants − a review, Sustain. Energy Technol. Assess. 47, 101526 (2021) [Google Scholar]
  4. V. Sharma, O.S. Sastry, A. Kumar, B. Bora, S.S. Chandel, Degradation analysis of a-Si, (HIT) hetro-junction intrinsic thin layer silicon and m-C-Si solar photovoltaic technologies under outdoor conditions, Energy 72, 536 (2014) [CrossRef] [Google Scholar]
  5. M. Bolinger, W. Gorman, D. Millstein, D. Jordan, System-level performance and degradation of 21 GW DC of utility-scale PV plants in the United States, J. Renew. Sustain. Energy 12, 043501 (2020) [CrossRef] [Google Scholar]
  6. D.C. Jordan, B. Marion, C. Deline, T. Barnes, M. Bolinger, PV field reliability status—analysis of 100 000 solar systems, Prog. Photovolt. Res. Appl. 28, 739 (2020) [CrossRef] [Google Scholar]
  7. D.C. Jordan, K. Anderson, K. Perry, M. Muller, M. Deceglie, R. White, C. Deline, Photovoltaic fleet degradation insights, Prog. Photovolt. Res. Appl. 30, 1166 (2022) [CrossRef] [Google Scholar]
  8. D. Jordan, S. Kurtz, K. VanSant, J. Newmiller, Compendium of photovoltaic degradation rates, Prog. Photovolt. Res. Appl. 24, 978 (2016) [CrossRef] [Google Scholar]
  9. C. Deline, K. Anderson, D. Jordan, A. Walker, J. Desai, K. Perry, M. Muller, B. Marion, R. White, PV fleet performance data initiative: performance index-based analysis (No. NREL/TP-5K00-78720) National Renewable Energy Lab.(NREL), Golden, CO (United States), (2021) [CrossRef] [Google Scholar]
  10. M. Green, Improving efficiency of PV systems using statistical performance monitoring, IEA, Technical Report IEA-PVPS T13–19:2021, Jul. 2017 [Google Scholar]
  11. M. Aghaei, A. Fairbrother, A. Gok, S. Ahmad, S. Kazim, K. Lobato, G. Oreski, A. Reinders, J. Schmitz, M. Theelen, P. Yilmaz, J. Kettle, Review of degradation and failure phenomena in photovoltaic modules, Renew. Sustain. Energy Rev. 159, 112160 (2022) [CrossRef] [Google Scholar]
  12. K.-A. Weiß, L.S. Bruckman, R.H. French, G. Oreski, T. Tanahashi, Service life estimation for photovoltaic modules, IEA PVPS T13, IEA-PVPS T13–16:2021, 2021 [Google Scholar]
  13. M. Catelani, L. Ciani, L. Cristaldi, M. Faifer, M. Lazzaroni, Electrical performances optimization of photovoltaic modules with FMECA approach, Measurement 46, 3898 (2013) [CrossRef] [Google Scholar]
  14. I. Kaaya, M. Köhl, A.-P. Mehilli, M. Sidrach-de-Cardona, K. Weiss, Modeling outdoor service lifetime prediction of PV modules: effects of combined climatic stressors on PV module power degradation, IEEE J. Photovolt. 9, 1105 (2019) [CrossRef] [Google Scholar]
  15. I. Kaaya, J. Ascencio-Vásquez, K.-A. Weiss, M. Topič, Assessment of uncertainties and variations in PV modules degradation rates and lifetime predictions using physical models, Sol. Energy 218, 354 (2021) [CrossRef] [Google Scholar]
  16. M. Herz, G. Friesen, U. Jahn, M. Köntges, S. Lindig, D. Moser, Quantification of technical risks in PV power systems, IEA PVPS, IEA-PVPS T13–23:2021, Feb. 2022 [Google Scholar]
  17. C. Miquel, C. Stravrou, N. Lebert, J. Sarantou, Dysfonctionnement électriques des installations photovoltaïques: points de vigilance, AQC − HESPUL, PTVIGI 1801, Oct. 2018 [Google Scholar]
  18. L. Bun, Détection et localisation de défauts dans un système photovoltaïque, PhD Thesis, Université de Grenoble, 2011 [Google Scholar]
  19. A. Mathieu, G. Fraisse, M. Thebault, S. Thebault, S. Boddaert, L. Gaillard, Failure risk analysis of photovoltaic systems based on literature review (Eurosun 2022, Kassel, Germany, 2022) [Google Scholar]
  20. A. Ndiaye, C.M.F. Kébé, A. Charki, P.A. Ndiaye, V. Sambou, A. Kobi, Degradation evaluation of crystalline-silicon photovoltaic modules after a few operation years in a tropical environment, Sol. Energy 103, 70 (2014) [CrossRef] [Google Scholar]
  21. N. Kahoul, M. Houabes, M. Sadok, Assessing the early degradation of photovoltaic modules performance in the Saharan region, Energy Convers. Manage. 82, 320 (2014) [CrossRef] [Google Scholar]
  22. M.R. Maghami, H. Hizam, C. Gomes, M.A. Radzi, M.I. Rezadad, S. Hajighorbani, Power loss due to soiling on solar panel: a review, Renew. Sustain. Energy Rev. 59, 1307 (2016) [CrossRef] [Google Scholar]
  23. P. Sánchez-Friera et al, Analysis of degradation mechanisms of crystalline silicon PV modules after 12 yr. of operation in Southern Europe, Prog. Photovolt.: Res. App. 9, 658 (2011). https://onlinelibrary.wiley.com/doi/abs/10.1002/pip.1083 [Google Scholar]
  24. M. Islam, Md. M. Rahman, A.H.M.Z. Karim, A. Ronee, Effects of natural dust on the performance of PV panels in Bangladesh, Int. J. Mod. Educ. Comput. Sci. 10, 26 (2012) [Google Scholar]
  25. S.A. Sulaiman, H.H. Hussain, N.S.H.N. Leh, M.S.I. Razali, Effects of dust on the performance of PV panels, Int. J. Mech. Mechatron. Eng. 5, 2021 (2011) [Google Scholar]
  26. U. Jahn, B. Herteleer, C. Tjendrawira, I. Tsanakas, M. Richter, G. Dickeson, A. Astigarraga, T. Tanahashi, F. Valencia, M. Green, A. Anderson, B. Stridh, A.R. Lagunas, S. Navarra, Y. Sangpongsanont, Guidelines for operation and maintenance of photovoltaic power plants in different climates, IEA, Technical Report IEA-PVPS T13–07:2022, Oct. 2022 [Google Scholar]
  27. W. Hermann, G. Eder, B. Farnung, G. Friesen, M. Köntges, B. Kubicek, O. Kunz, H. Liu, D. Parlevliet, I. Tsanakas, J. Vedde, Qualification of photovoltaic (PV) power plants using mobile test equipment, IEA PVPS T13, IEA-PVPS T13–24: 2021, Apr. 2021 [Google Scholar]
  28. C. Miquel, C. Stravrou, N. Lebert, J. Sarantou, Méthodes de détection des dysfonctionnements électriques des installations photovoltaïques, AQC − HESPUL, ETUC2P 1901, Jun. 2019 [Google Scholar]
  29. M. Köntges, S. Kurtz, C. Packard, U. Jahn, K.A. Berger, K. Kato, T. Friesen, H. Liu, M. Van Iseghem, Review of failures of photovoltaic modules, IEA PVPS T13, IEA-PVPS T13–01:2014, 2014 [Google Scholar]
  30. S. Rapaport, M. Green, The use of advanced algorithms in PV failure monitoring, IEA, Technical Report IEA-PVPS T13–19:2021, Sep. 2021 [Google Scholar]
  31. D.H. Daher, L. Gaillard, M. Amara, C. Ménézo, Impact of tropical desert maritime climate on the performance of a PV grid-connected power plant, Renew. Energy 125, 729 (2018) [CrossRef] [Google Scholar]
  32. D.H. Daher, L. Gaillard, C. Ménézo, Experimental assessment of long-term performance degradation for a PV power plant operating in a desert maritime climate, Renew. Energy 187, 44 (2022) [CrossRef] [Google Scholar]
  33. Solmetric, Solmetric PV Analyzer PVA- 1000 S [Google Scholar]
  34. D.H. Daher, M. Aghaei, D.A. Quansah, M.S. Adaramola, P. Parvin, C. Ménézo, Multi-pronged degradation analysis of a photovoltaic power plant after 9.5 yr. of operation under hot desert climatic conditions, Prog. Photovolt. Res. Appl. 31, 888 (2023) [CrossRef] [Google Scholar]
  35. W.D. Soto, S.A. Klein, W.A. Beckman, Improvement and validation of a model for photovoltaic array performance, Sol. Energy 80, 78 (2006) [CrossRef] [Google Scholar]
  36. B. Li, C.W. Hansen, X. Chen, D. Diallo, A. Migan-Dubois, C. Delpha, A. Jain, A robust I-V curve correction procedure for degraded photovoltaic modules, Renew. Energy 224, 120108 (2024) [CrossRef] [Google Scholar]
  37. B. Li, A. Migan-Dubois, C. Delpha, D. Diallo, Evaluation and improvement of IEC 60891 correction methods for I-V curves of defective photovoltaic panels, Sol. Energy 216, 225 (2021) [Google Scholar]
  38. IEC, IEC 6089 1: Photovoltaic devices − Procedures for temperature and irradiance corrections to measured I-V characteristics, Oct-2021 [Google Scholar]
  39. B. Li, Repo Github IVcorrection, lbj 2011 / IVcorrection. https://github.com/lbj2011/IVcorrection. [Accessed: 06-Mar-2024] [Google Scholar]
  40. IEC, IEC 61829: Photovoltaic (PV) array –On-site measurement of current-voltage characteristics, Oct-2016 [Google Scholar]
  41. M. Köntges, A. Morlier, G. Eder, E. Fleiß, B. Kubicek, J. Lin, Review: ultraviolet fluorescence as assessment tool for photovoltaic modules, IEEE J. Photovolt. 10, 616 (2020) [CrossRef] [Google Scholar]
  42. V.E. Puranik, R. Kumar, R. Gupta, Progress in module level quantitative electroluminescence imaging of crystalline silicon PV module: a review, Sol. Energy 264, 111994 (2023) [Google Scholar]
  43. M. Millendorf, E. Obropta, N. Vadhavkar, Infrared solar module dataset for anomaly detection (2020) [Google Scholar]
  44. P. Wang, F. En, P. Wang, Comparative analysis of image classification algorithms based on traditional machine learning and deep learning, Pattern Recognit. Lett. 141, 61 (2020) [Google Scholar]
  45. V. Garchar, S. Chudhary, Image classification using advanced CNN based on tensorflow, Int. J. Sci. Res. Comput. Sci. Eng. Inf. Technol. 5, 1329 (2019) [CrossRef] [Google Scholar]
  46. A.M. Hafiz, S.A. Parah, R.U.A. Bhat, Attention mechanisms and deep learning for machine vision: a survey of the state of the art, 2021, arXiv:2106.07550. https://arxiv.org/abs/2106.07550 [Google Scholar]
  47. M. Shaha, M. Pawar, Transfer learning for image classification, in 2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA, 2018), pp. 656–660 [Google Scholar]
  48. V. Sharma, S.S. Chandel, A novel study for determining early life degradation of multi-crystalline-silicon photovoltaic modules observed in western Himalayan Indian climatic conditions, Sol. Energy 134, 32 (2016) [Google Scholar]
  49. S. Lindig, J. Ascencio-Vásquez, J. Leloux, D. Moser, A. Reinders, Performance analysis and degradation of a large fleet of PV systems, IEEE J. Photovolt. 11, 1312 (2021) [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.