Research and Development of Photovoltaic Module Intelligent Cleaning Robot

0Citations
Citations of this article
5Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Serious stains on the surface of photovoltaic modules will affect the efficiency of power generation and may cause fire. Therefore, the cleaning must be clean and thorough. If the dead corner is left, it may cause "hot spot effect"and other serious consequences. The effect of photovoltaic module surface fouling on power generation efficiency is quite significant. Firstly, the surface turbidity affects the light transmission rate, and then affects the radiation amount accepted by the module surface; secondly, the dirt adheres to the surface of the panel and forms shadow, which produces hot spot effect in the local part of the PV module, thus causing damage to the PV panel, affecting the power generation rate and shortening the life of the PV panel. This process will aggravate the aging of the battery panel, reduce the output, and even cause a fire in serious cases. Photovoltaic cleaning robot is a new thing. In recent years, it has been highly concerned by the majority of photovoltaic power plant owners and photovoltaic enterprises. Photovoltaic cleaning robots can not only tell stories. However, it is necessary to realize the unattended periodic cleaning, intelligent dust removal and snow removal of photovoltaic modules through low cost and high reliability, and improve the efficiency of cleaning dust on the surface of photovoltaic panels by using intelligent cleaning robots, and thoroughly remove the dust and dirt on the surface of photovoltaic panels, so as to improve the power generation efficiency. Extend the service life of photovoltaic power station. This is a real practical photovoltaic cleaning robot[1].

Cite

CITATION STYLE

APA

Wang, D. (2021). Research and Development of Photovoltaic Module Intelligent Cleaning Robot. In Journal of Physics: Conference Series (Vol. 1744). IOP Publishing Ltd. https://doi.org/10.1088/1742-6596/1744/2/022024

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free