Design of Photovoltaic Panel Dry Cleaning Solution

Can a dry-cleaning robot automate the monitoring and cleaning of PV panels?

Conclusions This investigation is aimed at providing a practical approach to automate both monitoring and cleaning of the PV panel’s surfaces through the design and manufacture dry-cleaning robot based on the dust accumulation monitoring system, using an image processing system and color analysis of the PV panel surfaces.

How to clean solar PV panels?

The literature review on various cleaning methods of solar PV panels is given in Table 1. Currently, various methods are used for cleaning PV panels, including cleaning by the classical method using a brush, removing dust from the surface with compressed air, natural cleaning due to precipitation, and robotic cleaning systems.

How can a solar PV panel surface cleaning system maximize energy harvesting?

Three different cleaning systems are presented as air-blowing systems, superhydrophobic nano-coatings and electrodynamic screens (EDS). In this paper, a solar PV panel surface cleaning technique based on chemical solutions is proposed to maximize the amount of PV energy harvesting.

How can autonomous PV panel cleaning systems improve efficiency?

The novel algorithms have been developed using the Robot Operating System to control the autonomous PV panel cleaning vehicle (Memon, 2016 ). A cleaning system that sprays water on the PV cells is designed to increase the efficiency of the PV water pumping system.

How to reduce dust on solar PV panel surface?

It is concluded that the increased harvest of solar energy by designing an automatic robotic dry cleaning system to minimize the dust on the surface of the solar PV panel. A new type of brush has been produced for the developed cleaning device, which is low cost and does not damage the PV panel surface ( Parrott et al., 2018 ).

What are the experimental analysis data of solar PV panels?

Experimental analysis data of the solar PV panels at cleaning conditions. Table 5. Experimental validation analysis data of the solar PV panels in different day. After the temperatures of the PV panels are stabilized, the maximum power point of the PV panels is measured again to prove the effectiveness of the proposed solution.