Dust detection in solar panel using image processing techniques: A review

Gabriel Moura Dantas; Odilon Linhares Carvalho Mendes; Saulo Macêdo Maia; Auzuir Ripardo de Alexandria

doi:10.33448/rsd-v9i8.5107

Autores/as

Gabriel Moura Dantas Instituto Federal do Ceará https://orcid.org/0000-0002-7936-7387
Odilon Linhares Carvalho Mendes Instituto Federal do Ceará https://orcid.org/0000-0002-2187-1863
Saulo Macêdo Maia Instituto Federal do Ceará https://orcid.org/0000-0003-4405-9998
Auzuir Ripardo de Alexandria Instituto Federal do Ceará https://orcid.org/0000-0002-6134-5366

DOI:

https://doi.org/10.33448/rsd-v9i8.5107

Palabras clave:

Procesamiento de imágenes; Detección de polvo; Panel fotovoltaico.

Resumen

El rendimiento de un panel fotovoltaico se ve afectado por su orientación y inclinación angular con el plano horizontal. Esto ocurre porque estos dos parámetros alteran la cantidad de energía solar recibida por la superficie del panel fotovoltaico. También hay factores ambientales que afectan la producción de energía, un ejemplo es el polvo. Las partículas de polvo acumuladas en la superficie del panel reducen la llegada de luz a los módulos solares, reduciendo la cantidad de energía generada. La limpieza o mitigación de los módulos es importante y, para optimizar estos procesos, se debe llevar a cabo un monitoreo y evaluación constantes. Para aumentar la eficiencia de los paneles fotovoltaicos, se puede considerar el uso de métodos de procesamiento de imágenes para la detección de polvo. Por lo tanto, la creación de un documento que reúna y analice los resultados de diferentes trabajos desarrollados para resolver este problema facilita el acceso a la información, permitiendo una mejor comprensión de lo que ya se ha hecho y cómo se puede mejorar. El objetivo de este artículo es revisar las investigaciones que utilizan técnicas de procesamiento de imágenes para detectar el polvo en los paneles solares, con el fin de recopilar información para ayudar a la investigación en el área y proporcionar inspiración para futuros estudios.

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Detección de polvo en el panel solar utilizando técnicas de procesamiento por imágenes: Una revisión

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