IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i11p3865-d822875.html
   My bibliography  Save this article

Investigation of the Temperature Sensitivity of 20-Years Old Field-Aged Photovoltaic Panels Affected by Potential Induced Degradation

Author

Listed:
  • Oscar Kwame Segbefia

    (Department of Engineering Sciences, University of Agder, 4879 Grimstad, Norway)

  • Tor Oskar Sætre

    (Department of Engineering Sciences, University of Agder, 4879 Grimstad, Norway)

Abstract

One effect of moisture ingress on solar panels is potential induced degradation (PID). Solar panels affected by PID experience large leakage currents between the solar cells and the module’s frame, which leads to substantial power degradation. In the present work, the temperature coefficients of 3 old PV panels affected by PID were investigated. In the electroluminescence images, solar cells nearer to the edge of the modules appear darker due to ohmic shunting. IR thermal images acquired under clear sky outdoor conditions show that the majority of the warmer cells (hotspots) were located closer to the edge of the modules. The difference in cell temperature (∆ T ) due to PID effect ranges from 7 °C to 15 °C for the 3 field-aged modules. The average temperature coefficient of efficiency ( β ηm ) was found to be −0.5%/°C. Also, it was observed that the temperature coefficients of open circuit voltage ( β Voc = −0.4%/°C), maximum power point voltage ( β Vmpp = −0.5%/°C), and fill factor ( β FF = −0.2%/°C), were the underlying factors for the degradation in the P max of the old solar panels affected by PID. This accounted for an average 1.2%/year overall degradation in the efficiency of these modules. Most notably, it was discovered that the PV modules affected by PID show negative temperature coefficients of maximum power point current ( β Jmpp ) due to large leakage currents. This observed negative β Jmpp we believe is characteristic of PV panels affected by PID.

Suggested Citation

  • Oscar Kwame Segbefia & Tor Oskar Sætre, 2022. "Investigation of the Temperature Sensitivity of 20-Years Old Field-Aged Photovoltaic Panels Affected by Potential Induced Degradation," Energies, MDPI, vol. 15(11), pages 1-17, May.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:11:p:3865-:d:822875
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/11/3865/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/15/11/3865/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tsanakas, John A. & Ha, Long & Buerhop, Claudia, 2016. "Faults and infrared thermographic diagnosis in operating c-Si photovoltaic modules: A review of research and future challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 695-709.
    2. Islam, M.A. & Hasanuzzaman, M. & Rahim, Nasrudin Abd, 2018. "A comparative investigation on in-situ and laboratory standard test of the potential induced degradation of crystalline silicon photovoltaic modules," Renewable Energy, Elsevier, vol. 127(C), pages 102-113.
    3. Mattei, M. & Notton, G. & Cristofari, C. & Muselli, M. & Poggi, P., 2006. "Calculation of the polycrystalline PV module temperature using a simple method of energy balance," Renewable Energy, Elsevier, vol. 31(4), pages 553-567.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Clavijo-Blanco, J.A. & Álvarez-Tey, G. & Saborido-Barba, N. & Barberá-González, J.L. & García-López, C. & Jiménez-Castañeda, R., 2021. "Laboratory tests for the evaluation of the degradation of a photovoltaic plant of 2.85 MWp with different classes of PV modules," Renewable Energy, Elsevier, vol. 174(C), pages 262-277.
    2. Rehman, Shafiqur & El-Amin, Ibrahim, 2012. "Performance evaluation of an off-grid photovoltaic system in Saudi Arabia," Energy, Elsevier, vol. 46(1), pages 451-458.
    3. Meng, Zhuo & Zhao, Yiman & Tang, Shiqing & Sun, Yize, 2020. "An efficient datasheet-based parameters extraction method for two-diode photovoltaic cell and cells model," Renewable Energy, Elsevier, vol. 153(C), pages 1174-1182.
    4. Segovia Ramírez, Isaac & Pliego Marugán, Alberto & García Márquez, Fausto Pedro, 2022. "A novel approach to optimize the positioning and measurement parameters in photovoltaic aerial inspections," Renewable Energy, Elsevier, vol. 187(C), pages 371-389.
    5. Chiwu Bu & Tao Liu & Tao Wang & Hai Zhang & Stefano Sfarra, 2023. "A CNN-Architecture-Based Photovoltaic Cell Fault Classification Method Using Thermographic Images," Energies, MDPI, vol. 16(9), pages 1-13, April.
    6. Mayer, Martin János & Yang, Dazhi & Szintai, Balázs, 2023. "Comparing global and regional downscaled NWP models for irradiance and photovoltaic power forecasting: ECMWF versus AROME," Applied Energy, Elsevier, vol. 352(C).
    7. Amirhossein Fathi & Masoomeh Bararzadeh Ledari & Yadollah Saboohi, 2021. "Evaluation of Optimal Occasional Tilt on Photovoltaic Power Plant Energy Efficiency and Land Use Requirements, Iran," Sustainability, MDPI, vol. 13(18), pages 1-20, September.
    8. Rustemli, Sabir & Dincer, Furkan & Unal, Emin & Karaaslan, Muharrem & Sabah, Cumali, 2013. "The analysis on sun tracking and cooling systems for photovoltaic panels," Renewable and Sustainable Energy Reviews, Elsevier, vol. 22(C), pages 598-603.
    9. Kaplanis, S. & Kaplani, E. & Kaldellis, J.K., 2022. "PV temperature and performance prediction in free-standing, BIPV and BAPV incorporating the effect of temperature and inclination on the heat transfer coefficients and the impact of wind, efficiency a," Renewable Energy, Elsevier, vol. 181(C), pages 235-249.
    10. Rawat, Rahul & Kaushik, S.C. & Lamba, Ravita, 2016. "A review on modeling, design methodology and size optimization of photovoltaic based water pumping, standalone and grid connected system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 1506-1519.
    11. Chikh, Madjid & Berkane, Smain & Mahrane, Achour & Sellami, Rabah & Yassaa, Noureddine, 2021. "Performance assessment of a 400 kWp multi- technology photovoltaic grid-connected pilot plant in arid region of Algeria," Renewable Energy, Elsevier, vol. 172(C), pages 488-501.
    12. Klamka, Jonas & Wolf, André & Ehrlich, Lars G., 2020. "Photovoltaic self-consumption after the support period: Will it pay off in a cross-sector perspective?," Renewable Energy, Elsevier, vol. 147(P1), pages 2374-2386.
    13. Kane, Aarti & Verma, Vishal & Singh, Bhim, 2017. "Optimization of thermoelectric cooling technology for an active cooling of photovoltaic panel," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 1295-1305.
    14. Mäki, Anssi & Valkealahti, Seppo, 2014. "Differentiation of multiple maximum power points of partially shaded photovoltaic power generators," Renewable Energy, Elsevier, vol. 71(C), pages 89-99.
    15. Trinuruk, Piyatida & Sorapipatana, Chumnong & Chenvidhya, Dhirayut, 2009. "Estimating operating cell temperature of BIPV modules in Thailand," Renewable Energy, Elsevier, vol. 34(11), pages 2515-2523.
    16. Sofiane Boulhidja & Adel Mellit & Sebastian Voswinckel & Vanni Lughi & Alessandro Ciocia & Filippo Spertino & Alessandro Massi Pavan, 2020. "Experimental Evidence of PID Effect on CIGS Photovoltaic Modules," Energies, MDPI, vol. 13(3), pages 1-16, January.
    17. Dong Eun Jung & Chanuk Lee & Kee Han Kim & Sung Lok Do, 2020. "Development of a Predictive Model for a Photovoltaic Module’s Surface Temperature," Energies, MDPI, vol. 13(15), pages 1-18, August.
    18. Tiwari, G.N. & Mishra, R.K. & Solanki, S.C., 2011. "Photovoltaic modules and their applications: A review on thermal modelling," Applied Energy, Elsevier, vol. 88(7), pages 2287-2304, July.
    19. Dhimish, Mahmoud & Ahmad, Ameer & Tyrrell, Andy M., 2022. "Inequalities in photovoltaics modules reliability: From packaging to PV installation site," Renewable Energy, Elsevier, vol. 192(C), pages 805-814.
    20. Mayer, Martin János & Yang, Dazhi, 2023. "Pairing ensemble numerical weather prediction with ensemble physical model chain for probabilistic photovoltaic power forecasting," Renewable and Sustainable Energy Reviews, Elsevier, vol. 175(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:15:y:2022:i:11:p:3865-:d:822875. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.