IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i23p7749-d1286916.html
   My bibliography  Save this article

Analysis of the Deposition of Pollutants on the Surface of Photovoltaic Modules

Author

Listed:
  • Janusz Teneta

    (Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, AGH University of Krakow, 30-059 Krakow, Poland)

  • Mirosław Janowski

    (Faculty of Geology, Geophysics and Environmental Protection, AGH University of Krakow, 30-059 Krakow, Poland)

  • Karolina Bender

    (Faculty of Geology, Geophysics and Environmental Protection, AGH University of Krakow, 30-059 Krakow, Poland)

Abstract

This article presents the results of an experiment to measure the mass of contaminants naturally deposited on the surface of photovoltaic modules. Six types of PV modules included in the installation located on the roof of the C3 building (AGH campus, Krakow, Poland) were tested. More than 120 contamination samples were collected during the experiment, which lasted from 23 March to 15 June 2022. Detailed analysis showed a clear relationship between the tilt angle of the photovoltaic modules and the amount of contamination accumulating on them. The impact of the backsheet color and the way the module was mounted (vertical or horizontal) on the amount of dirt deposited on a given module was also recorded. Because the experiment lasted for many weeks, it was possible to investigate the intensity of the contamination build-up over the following weeks (in the absence of module cleaning) and the effect of precipitation on the module self-cleaning. During one measurement, a layer of contamination with a normalized mass of 181 mg/m 2 was found to reduce PV module peak power by almost 4%.

Suggested Citation

  • Janusz Teneta & Mirosław Janowski & Karolina Bender, 2023. "Analysis of the Deposition of Pollutants on the Surface of Photovoltaic Modules," Energies, MDPI, vol. 16(23), pages 1-14, November.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:23:p:7749-:d:1286916
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/23/7749/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/16/23/7749/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fabian Zuñiga-Cortes & Juan D. Garcia-Racines & Eduardo Caicedo-Bravo & Hernan Moncada-Vega, 2023. "Minimization of Economic Losses in Photovoltaic System Cleaning Schedules Based on a Novel Methodological Framework for Performance Ratio Forecast and Cost Analysis," Energies, MDPI, vol. 16(16), pages 1-18, August.
    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.

      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:16:y:2023:i:23:p:7749-:d:1286916. 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.