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The Condition of Photovoltaic Modules under Random Operation Parameters

Author

Listed:
  • Grzegorz Trzmiel

    (Faculty of Electrical Engineering, Poznan University of Technology, 60-965 Poznan, Poland)

  • Jaroslaw Jajczyk

    (Faculty of Electrical Engineering, Poznan University of Technology, 60-965 Poznan, Poland)

  • Ewa Kardas-Cinal

    (Faculty of Transport, Warsaw University of Technology, 00-662 Warsaw, Poland)

  • Norbert Chamier-Gliszczynski

    (Faculty of Mechanical Engineering, Koszalin University of Technology, 75-453 Koszalin, Poland)

  • Waldemar Wozniak

    (Faculty of Mechanical Engineering, University of Zielona Gora, 65-001 Zielona Gora, Poland)

  • Konrad Lewczuk

    (Faculty of Transport, Warsaw University of Technology, 00-662 Warsaw, Poland)

Abstract

The paper presents an original method underlying an efficient tool for assessing the condition of photovoltaic (PV) modules, in particular, those made of amorphous cells. Significantly random changes in operational parameters characterize amorphous cell operation and cause them to be challenging to test, especially in working conditions. To develop the method, the authors modified the residual method with incorporated histograms. The proposed method has been verified through experiments that show the usefulness of the proposed approach. It significantly minimizes the risk of false diagnostic information in assessing the condition of photovoltaic modules. Based on the proposed methods, the inference results confirm the effectiveness of the concept for evaluating the degree of failure of the photovoltaic module described in the paper.

Suggested Citation

  • Grzegorz Trzmiel & Jaroslaw Jajczyk & Ewa Kardas-Cinal & Norbert Chamier-Gliszczynski & Waldemar Wozniak & Konrad Lewczuk, 2021. "The Condition of Photovoltaic Modules under Random Operation Parameters," Energies, MDPI, vol. 14(24), pages 1-18, December.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:24:p:8358-:d:700263
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    References listed on IDEAS

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    1. Muhannad Alshareef & Zhengyu Lin & Mingyao Ma & Wenping Cao, 2019. "Accelerated Particle Swarm Optimization for Photovoltaic Maximum Power Point Tracking under Partial Shading Conditions," Energies, MDPI, vol. 12(4), pages 1-18, February.
    2. Waldemar Kuczynski & Kazimierz Kaminski & Pawel Znaczko & Norbert Chamier-Gliszczynski & Piotr Piatkowski, 2021. "On the Correlation between the Geometrical Features and Thermal Efficiency of Flat-Plate Solar Collectors," Energies, MDPI, vol. 14(2), pages 1-15, January.
    3. Omer A. Alawi & Haslinda Mohamed Kamar & Abdul Rahman Mallah & Hussein A. Mohammed & Mohd Aizad Sazrul Sabrudin & Kazi Md. Salim Newaz & Gholamhassan Najafi & Zaher Mundher Yaseen, 2021. "Experimental and Theoretical Analysis of Energy Efficiency in a Flat Plate Solar Collector Using Monolayer Graphene Nanofluids," Sustainability, MDPI, vol. 13(10), pages 1-22, May.
    4. Bugała, A. & Zaborowicz, M. & Boniecki, P. & Janczak, D. & Koszela, K. & Czekała, W. & Lewicki, A., 2018. "Short-term forecast of generation of electric energy in photovoltaic systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 306-312.
    5. John Haslett & Kevin Hayes, 1998. "Residuals for the linear model with general covariance structure," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 60(1), pages 201-215.
    6. Zhang, Chunxiao & Shen, Chao & Yang, Qianru & Wei, Shen & Lv, Guoquan & Sun, Cheng, 2020. "An investigation on the attenuation effect of air pollution on regional solar radiation," Renewable Energy, Elsevier, vol. 161(C), pages 570-578.
    7. Trzmiel, G. & Głuchy, D. & Kurz, D., 2020. "The impact of shading on the exploitation of photovoltaic installations," Renewable Energy, Elsevier, vol. 153(C), pages 480-498.
    8. Ehab Mohamed Ali & Ahmed K. Abdelsalam & Karim H. Youssef & Ahmed A. Hossam-Eldin, 2021. "An Enhanced Cuckoo Search Algorithm Fitting for Photovoltaic Systems’ Global Maximum Power Point Tracking under Partial Shading Conditions," Energies, MDPI, vol. 14(21), pages 1-21, November.
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    Cited by:

    1. Wiktor Olchowik & Marcin Bednarek & Tadeusz Dąbrowski & Adam Rosiński, 2023. "Application of the Energy Efficiency Mathematical Model to Diagnose Photovoltaic Micro-Systems," Energies, MDPI, vol. 16(18), pages 1-24, September.
    2. Kazimierz Kaminski & Pawel Znaczko & Ewa Kardas-Cinal & Norbert Chamier-Gliszczynski & Krzysztof Koscielny & Krzysztof Cur, 2024. "Comparison of the Heat Transfer Efficiency of Selected Counterflow Air-to-Air Heat Exchangers Under Unbalanced Flow Conditions," Energies, MDPI, vol. 18(1), pages 1-21, December.

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