Solar Panel Cleaning Robot

Solar panel efficiency is often reduced by dust and debris accumulation, making regular cleaning essential but challenging. This research presents an automated solar panel cleaning robot controlled via Wi-Fi using a NodeMCU microcontroller. Equipped with DC motors for movement and sweeping, and a water pump system, the robot ensures thorough cleaning. Testing showed a 15-20% increase in solar panel energy output post-cleaning. The system demonstrated reliable operation and responsive remote control via a web interface. This solution is suitable for various applications, including residential rooftops, commercial solar farms, and remote off-grid systems, enhancing solar maintenance efficiency, and reducing costs.

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Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2024-11-22
DOI
https://doi.org/10.22214/ijraset.2024.65325
Citations
2
Primary Topic
Power Line Inspection Robots
Type
article
Field-Weighted Citation Impact
0.43
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article

Solar Panel Cleaning Robot

Gargi Sandey
2 citations
International Journal for Research in Applied Science and Engineering Technology
Power Line Inspection Robots
0.43
article

Solar Panel Cleaning Robot

Gargi Sandey
article en
2 citations

Abstract

Solar panel efficiency is often reduced by dust and debris accumulation, making regular cleaning essential but challenging. This research presents an automated solar panel cleaning robot controlled via Wi-Fi using a NodeMCU microcontroller. Equipped with DC motors for movement and sweeping, and a water pump system, the robot ensures thorough cleaning. Testing showed a 15-20% increase in solar panel energy output post-cleaning. The system demonstrated reliable operation and responsive remote control via a web interface. This solution is suitable for various applications, including residential rooftops, commercial solar farms, and remote off-grid systems, enhancing solar maintenance efficiency, and reducing costs.

International Journal for Research in Applied Science and Engineering TechnologyVol. 12(11)
International Institute of Information Technology (IN)
Openalex Percentile: Top 41%
Power Line Inspection Robots
0.43
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