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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM51113

Robotic Solar Panel Cleaner

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM51113

Volume:

9 |

6 |

Jun 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM51113

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

HB1

Hima Bindu 1

SK

Swarnamaye Kasoju2

SK

Shailaja Kairi3

MAK

Maroju Arjun Krishna4

PTPS

Pemmada Tharun Pani Sai5

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Abstract

Solar energy is currently one of the most widely used sources of electricity generation. The deposition of dust (also known as soiling) on the surface of solar panels limits the amount of sunlight that reaches the solar cells beneath, decreasing the solar panel’s efficiency. Cleaning solar panels is challenging due to dust and water stains, and manual methods are inefficient and time-consuming. As a result, this study describes the design of a robot for cleaning the surface of a PV solar panel. The design includes a DC motor for mobility, an Ultra-sonic sensor, and an Arduino controller system to control the robot while it cleans the panel surface. The cleaning part has a wiper on the front side of the robot and a smooth spongy brush on the back side. This combination of equipment can control the robot while also cleaning the panel’s surface. The results demonstrate that the created robotic solar panel cleaner will be able to clean the photovoltaic solar panel effectively without damaging the panel’s surface, thus enhancing the solar panel’s performance sustainably and affordably.

KEYWORDS

Photovoltaic Solar panel Cleaning Robot Arduino Controller System Ultra-sonic sensor.

Cite This Article

Hima Bindu 1, Swarnamaye Kasoju2, Shailaja Kairi3, Maroju Arjun Krishna4, Pemmada Tharun Pani Sai5, "Robotic Solar Panel Cleaner," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 6, Jun 2025. https://doi.org/10.55041/IJSREM51113

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Publication Date

1/6/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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0

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2

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5

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Conflict of Interest

The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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