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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM13809
Volume:
6 |
5 |
May 2022
Pages:
Publication Frequency:
Monthly (12 issues per year)
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.
The exponential growth of solar energy as a renewable energy source emphasizes the importance of optimizing solar panel efficiency and maintenance. One critical challenge for solar cells is the impact of environmental factors, particularly the accumulation of dust and debris on panel surfaces. To solve this problem, our project introduces an automatic cleaning system for solar panels. offers a dual function of user-scheduled cleaning and intelligent automatic cleaning. In addition, the system has a vertical roller brush mechanism that ensures precise and efficient cleaning.The user-scheduled cleaning mode provides a flexible interface that allows users to customize cleaning schedules according to individual preferences and usage needs.Intelligent automatic cleaning mode marks a paradigm shift in solar panel maintenance. Using advanced sensors such as light sensors and a real-time clock, the system calculates the capacity of the solar panels in real time. This data-driven approach intelligently schedules cleaning cycles, dynamically adapting to actual maintenance needs. Light sensors measure the intensity of sunlight, while a real-time clock ensures accuracy and adapts cleaning processes to environmental and seasonal changes. .
KEYWORDS
Publication Date
3/3/2024
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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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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