Abstract
Solar energy refers to the process of using photovoltaic (PV) panels to convert solar energy into electricity, either directly or indirectly. Most of the energy we use on Earth originates from clean, renewable sources, with solar energy being at the forefront due to its environmentally friendly attributes. It has gained global recognition as an effective and sustainable method for generating power. Although considerable research efforts are focused on maximizing the energy derived from sunlight, there are significant challenges, such as dust accumulation on solar panels and air pollution. These issues can lower the energy output from solar cells by over 25% to 40% in various regions, especially in tropical countries like India. To maintain optimal solar energy production, regular cleaning of solar panels is crucial. Automated solutions like robotic cleaners are emerging as a key technology to streamline this maintenance process, saving time and reducing the need for manual labour. The objective of this paper is to design a smart solar panel cleaning system that automatically cleans the PV panels using a combination of water spray and a brush to remove dirt and debris. The system relies on the ESP32 microcontroller to operate components like DC motors and ultrasonic sensors, ensuring thorough cleaning. The use of the ESP32 microcontroller allows for efficient data transmission and control between the different system components. This project has been proven to be fully functional with the development of prototype to evaluate the system's performance in real-world conditions.
Metadata
| Item Type: | Book Section |
|---|---|
| Creators: | Creators Email / ID Num. Noor Hisam, Mohd Imran UNSPECIFIED Mohd Atan, Fadila UNSPECIFIED Ismail, Nur Asfahani UNSPECIFIED |
| Subjects: | T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Production of electric energy or power > Production from solar energy T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Electronics > Detectors. Sensors. Sensor networks |
| Divisions: | Universiti Teknologi MARA, Johor > Pasir Gudang Campus > College of Computing, Informatics and Mathematics |
| Volume: | 2 |
| Page Range: | pp. 76-78 |
| Keywords: | Blynk, ESP32, IoT, Solar panel shiner |
| Date: | 2024 |
| URI: | https://ir.uitm.edu.my/id/eprint/134249 |
