IoT-Enabled Dust Cleaning Mechanism for Enhanced Performance of Solar Panel Arrays
Article No.: 146, Pages 1 - 5
Abstract
Over the past two decades, solar energy sources have secured a remarkable position among alternative energy options, demonstrating the feasibility of harnessing green energy to meet a significant portion of the world's electrical power needs. The development of technology to control solar energy generation has proven essential for lowering costs and increasing reliability. As a renewable energy source, solar panels provide power without releasing any pollutants. However, dirt has a negative impact on solar panels and is a significant environmental issue that affects energy generation. When dirt builds up on the surface of the solar panel, the intensity of the light falling on it decreases. As a result, the solar panel produces less electrical energy overall. As cleaning the solar panel is essential, these procedures must be continuously observed and assessed in order to be optimized. This indicates the importance of using intelligent systems to keep an eye out for dirt and clean solar panels in order to maximize their efficiency. We have developed a 1 kW solar tracking system. This research paper aims to illustrate the idea of an innovative, intelligent IoT-based dust cleaning mechanism for overall performance improvement for the solar tracker system. In a month, if the modules are not cleaned, efficiency could drop by 20% to 30%. The tracking efficiency of a dirty solar panel is measured at 41.27%, and this efficiency significantly improves to 59.89% when the panel is cleaned and combined with a tracking system
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Index Terms
- IoT-Enabled Dust Cleaning Mechanism for Enhanced Performance of Solar Panel Arrays
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Published In
November 2023
1215 pages
ISBN:9798400709418
DOI:10.1145/3647444
Copyright © 2023 ACM.
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Association for Computing Machinery
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Published: 13 May 2024
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ICIMMI 2023
ICIMMI 2023: International Conference on Information Management & Machine Intelligence
November 23 - 25, 2023
Jaipur, India
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