IDEAS home Printed from https://ideas.repec.org/a/ijs/ijsrse/v12y2025i2id396.html

Solar Panel Cleaning Robot

Author

Listed:
  • S. P. Washimkar
  • Sharvari Gulhane
  • Ayush Vaidya
  • Jyotiraditya Tidke
  • Devanshu Kawade

Abstract

Solar energy is one of the most sustainable and widely used renewable energy sources. However, dust, dirt, and environmental pollutants accumulate on solar panels, significantly reducing their efficiency by up to 30-40%. Manual cleaning is labour-intensive, inefficient, and impractical for large-scale installations. This project presents an IoT-based Solar Panel Cleaner Robot that automates the cleaning process, ensuring maximum energy output. The system consists of a robotic cleaning mechanism, dust sensors, microcontroller-based control unit, and IoT integration. The dust sensor detects dirt accumulation, while a light sensor monitors power efficiency loss. When cleaning is required, the robotic system activates a motorized brush, air blower, or water sprayer, effectively removing dust. The entire process is controlled by an ESP32 microcontroller, which also sends real-time data to an IoT dashboard using Wi-Fi. Users can remotely monitor and control the system through a mobile app.

Suggested Citation

  • S. P. Washimkar & Sharvari Gulhane & Ayush Vaidya & Jyotiraditya Tidke & Devanshu Kawade, 2025. "Solar Panel Cleaning Robot," International Journal of Scientific Research in Science, Engineering and Technology, International Journal of Scientific Research in Science, Engineering and Technology, vol. 12(2), pages 514-518, April.
    • Handle: RePEc:ijs:ijsrse:v12:y2025:i2:id:396
    DOI: 10.32628/IJSRSET25122164
    Note: Article URL: https://ijsrset.com/home/article/view/IJSRSET25122164
    as

    Download full text from publisher

    File URL: https://ijsrset.com/home/article/view/IJSRSET25122164
    File Function: Article URL
    Download Restriction: no
    File URL: https://ijsrset.com/home/article/download/IJSRSET25122164/IJSRSET25122164
    File Function: Full text
    Download Restriction: no
    File URL: https://libkey.io/10.32628/IJSRSET25122164?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;

    Statistics

    Access and download statistics

    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:ijs:ijsrse:v12:y2025:i2:id:396. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Pankaj Sharma (email available below). General contact details of provider: https://ijsrset.com/home .

    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.