Solar Swift IOT Based Automated Cleaning and Performance Optimization for Solar Panels
The quantity of energy consumed increases daily. Because carbon dioxide emissions are growing, people are turning to renewable energy. Dust and debris can drastically lower the effectiveness of solar panels, especially in dusty regions like tropical countries. The buildup of dust wastes roughly 20-30% of solar radiation. Traditionally, panels have been cleaned by human resources. It's an expensive and time-consuming task. Manual cleaning also causes harm to solar panels. It's easy for the automated systemto clean. An automatic solar panel cleaning system can increase output by 32 percent. It can be entirely automated with automation and the Internet of Things. An automated cleaning system is more effective and uses less water. The system, which has advanced sensors, uses brushes and water to clean when it senses an accumulation of dirt. To ensure the quality of the cleaning, an ESP32 microcontroller controls the cleaning procedure, evaluates the panels' performance before and after cleaning, and sends data to the cloud via MQTT for real-time monitoring.
Authors
- G. Saritha
- T. Saravanan (ORCID: https://orcid.org/0000-0001-8746-952X)
- V Jeevabharathi.
- Jaswanthi Sri M
- M Raghavi
- V Deepthi
Institutions
- Sri Ramachandra Institute of Higher Education and Research (IN)
- Anna University, Chennai (IN)
Publication Details
- Published
- 2025-04-16
- DOI
- https://doi.org/10.1109/iccct63501.2025.11018907
- Primary Topic
- Photovoltaic System Optimization Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00