Design of Solar Panel Cleaning System Based on Artificial Intelligence

Authors

  • Hussain Badri, Abhay Tripathi, Harsh Vaidya, Prof. Mrs. Kinjal Patel, Kishan Solanki

Abstract

One of the most common problems associated with the implementation of a Solar Energy System is the maintenance of the PV cells. Dust, bird droppings, and other impurities tend to stick on the PV cell and this reduces the efficiency of the system. The surface needs to be kept as clean as possible to achieve maximum efficiency. This research paper aims at developing a low-cost Solar Panel Cleaning System which will smartly clean the panel & will solve the issue of maintenance and achieve higher efficiency of the PV cells. An analysis of existing systems used in industries was carried out. Following that, calculations were made which involved the Kinematic and Dynamic analysis of the system. This step also involved the selection of the materials and the dimensions of all the parts. The system is mobile in the sense that it can cover an entire row of PV cells. The system also has a water system attached to it because for efficient cleaning, a diluted solution of a cleaning liquid is required. The cleaning process is carried out on the basis of data received from dust analysis sensor. The AI based system has been implemented to monitor all the data from the individual panel. The system can be operated remotely and the user can access all the information from any part of the world.

Published

2020-12-30

Issue

Section

Articles