Analysis of the operation of the algorithm for processing the image of a solar panel to assess its dustiness
Solar power plants are usually located in deserts, where the amount of incident solar energy is maximum. Sandstorms, small animals and birds that leave droppings contaminate the surfaces of solar panels, which leads to a decrease in the panels' power generation. The author has developed an algo...
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| Format: | Article |
| Language: | English |
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Belarusian National Technical University
2025-04-01
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| Series: | Системный анализ и прикладная информатика |
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| Online Access: | https://sapi.bntu.by/jour/article/view/728 |
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| _version_ | 1849403942787612672 |
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| author | A. A. Albagoush |
| author_facet | A. A. Albagoush |
| author_sort | A. A. Albagoush |
| collection | DOAJ |
| description | Solar power plants are usually located in deserts, where the amount of incident solar energy is maximum. Sandstorms, small animals and birds that leave droppings contaminate the surfaces of solar panels, which leads to a decrease in the panels' power generation. The author has developed an algorithm for processing the panel image to estimate the degree of its output power reduction due to contamination and to make a decision for panel cleaning. This article presents the results of the analysis of the developed algorithm under various solar panel illumination conditions. |
| format | Article |
| id | doaj-art-f2a2dbb95e1846399b2294de0520ad7b |
| institution | Kabale University |
| issn | 2309-4923 2414-0481 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Belarusian National Technical University |
| record_format | Article |
| series | Системный анализ и прикладная информатика |
| spelling | doaj-art-f2a2dbb95e1846399b2294de0520ad7b2025-08-20T03:37:08ZengBelarusian National Technical UniversityСистемный анализ и прикладная информатика2309-49232414-04812025-04-0101323610.21122/2309-4923-2025-1-32-36516Analysis of the operation of the algorithm for processing the image of a solar panel to assess its dustinessA. A. Albagoush0Belarusian National Technical UniversitySolar power plants are usually located in deserts, where the amount of incident solar energy is maximum. Sandstorms, small animals and birds that leave droppings contaminate the surfaces of solar panels, which leads to a decrease in the panels' power generation. The author has developed an algorithm for processing the panel image to estimate the degree of its output power reduction due to contamination and to make a decision for panel cleaning. This article presents the results of the analysis of the developed algorithm under various solar panel illumination conditions.https://sapi.bntu.by/jour/article/view/728solar radiationsolar panelsarid climateimage processingdust accumulationartificial intelligence |
| spellingShingle | A. A. Albagoush Analysis of the operation of the algorithm for processing the image of a solar panel to assess its dustiness Системный анализ и прикладная информатика solar radiation solar panels arid climate image processing dust accumulation artificial intelligence |
| title | Analysis of the operation of the algorithm for processing the image of a solar panel to assess its dustiness |
| title_full | Analysis of the operation of the algorithm for processing the image of a solar panel to assess its dustiness |
| title_fullStr | Analysis of the operation of the algorithm for processing the image of a solar panel to assess its dustiness |
| title_full_unstemmed | Analysis of the operation of the algorithm for processing the image of a solar panel to assess its dustiness |
| title_short | Analysis of the operation of the algorithm for processing the image of a solar panel to assess its dustiness |
| title_sort | analysis of the operation of the algorithm for processing the image of a solar panel to assess its dustiness |
| topic | solar radiation solar panels arid climate image processing dust accumulation artificial intelligence |
| url | https://sapi.bntu.by/jour/article/view/728 |
| work_keys_str_mv | AT aaalbagoush analysisoftheoperationofthealgorithmforprocessingtheimageofasolarpaneltoassessitsdustiness |