Assessment of solar panel contamination via its image in Libya climate

Modern solar power plants are usually built in deserts, in conditions of lack of water and a lot of dust. Dustiness of solar panels leads to a decrease in their efficiency, and cleaning the panels from dust is an energy consuming operation. The article discusses an approach to assessing the degree of contamination of a panel and making a decision about the need to clean it based on analysis of the panel image. An algorithm for making a cleaning decision is presented, a software application for assessing the degree of contamination of the panel is described, and the results of an experimental test of the created application are presented.

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Publication Details

Journal
«System analysis and applied information science»
Published
2024-12-30
DOI
https://doi.org/10.21122/2309-4923-2024-4-41-46
Primary Topic
Photovoltaic System Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Assessment of solar panel contamination via its image in Libya climate

Andrey N. Kupriyanov, A. A. Albagoush
«System analysis and applied information science»
Photovoltaic System Optimization Techniques
article

Assessment of solar panel contamination via its image in Libya climate

Andrey N. Kupriyanov, A. A. Albagoush
article en

Abstract

Modern solar power plants are usually built in deserts, in conditions of lack of water and a lot of dust. Dustiness of solar panels leads to a decrease in their efficiency, and cleaning the panels from dust is an energy consuming operation. The article discusses an approach to assessing the degree of contamination of a panel and making a decision about the need to clean it based on analysis of the panel image. An algorithm for making a cleaning decision is presented, a software application for assessing the degree of contamination of the panel is described, and the results of an experimental test of the created application are presented.

«System analysis and applied information science»(4)
Belarusian National Technical University (BY)
Openalex Percentile: Top 85%
Photovoltaic System Optimization Techniques
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