Abstract

The performance of a photovoltaic panel is affected by its orientation and angular inclination with the horizontal plane. This occurs because these two parameters alter the amount of solar energy received by the surface of the photovoltaic panel. There are also environmental factors that affect energy production, one example is the dust. Dust particles accumulated on the surface of the panel reduce the arrival of light to the solar modules, reducing the amount of generated energy. The cleaning or mitigation of the modules is important and, to optimize these processes, constant monitoring and evaluation must be carried out. In order to increase the efficiency of photovoltaic panels, the use of image processing methods can be considered for the detection of dust. Therefore, the creation of a document that gathers and analyzes the results of different works developed to solve this problem facilitates access to information, allowing a better understanding of what has already been done and how it can be improved. The objective of this article is to review researches that uses image processing techniques to detect dust on solar panels, in order to compile information to assist research in the area and provide inspiration for future studies.

Highlights

  • There is a variety of solar panels on the market for energy production

  • This article presents a review of image processing techniques for detecting solar panel dust

  • This research includes articles published in IEEE, Web of Science, Science Direct, Research Gate, Society for Science and Education (SSE) and Charles Darwin University (CDU)

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Summary

Introduction

There is a variety of solar panels on the market for energy production. Depending on the manufacturer and the architecture to which they are installed, their dimensions and their potential for energy production may vary. Some geographical factors influence a panel's energy production: time, seasonal cycle and weather conditions at a certain time of day (Yfantis & Fayed, 2014). Physical characteristics of the system, such as tilt angle, arrangement and organization of the panels, and the amount of sunlight incidence in each cell, affect energy production (Pawluk, Chen & She, 2019). As dust accumulates on the glass in the panels, energy production decreases, as there is an impediment that part of the light incident on the glass enters and reaches the energy generating cells. The energy loss depends on the amount of dust, the size of the particles, and the chemical composition of the powder (Jiang et al, 2018)

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