Development of Automated Solar Panel Cleaner
Student: Bright Ohikhomouan Akhibi (Thesis, 2025)
Department of Mechanical Engineering
Federal University of Petroleum Resources, Effurun, Delta State
Abstract
This report presents the design, development, and testing of an automated solar panel cleaning system aimed at optimizing energy efficiency and reducing maintenance costs. The system utilizes a combination of robotic technology, sensors, and water jets to effectively remove dirt, dust, and other impurities from solar panels, ensuring maximum energy output. The automated cleaner features:Solar panel surface detection and navigation, Real-time dirt and dust detection, Water jet cleaning system, Programmable scheduling and remote monitoring
Keywords
For the full publication, please contact the author directly at: akhibibright3695@gmail.com
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Institutions
- Samaru College of Agriculture (division of Agric Col, Abu) Zaria, Kaduna State 1
- School of Health Information Mgt (Uch, Ibadan), Oyo State 5
- School of Health Information Mgt, Oau Teaching Hospital, Ile-Ife, Osun State 30
- Skyline University Nigeria, Kano, Kano State 2
- Sokoto State University, Sokoto, Sokoto State 43
- St. Albert The Great Major Seminary, Abeokuta. (affl. To University of Benin) 1
- Sule Lamido University, Kafin Hausa, Jigawa State 4
- Tai Solarin University of Education, Ijagun, Ogun State 19
- Tansian University, Oba, Anambra State 1
- Taraba State University, Jalingo, Taraba State 32