Development of an Automated Solar Panel Cleaning System
Student: Bright Ohikhomouan Akhibi (Project, 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
- Landmark University, Omu-Aran, Kwara State 1
- Lead City University, Ibadan, Oyo State 1
- Lens Polytechnic, offa, Kwara State. 215
- Madonna University, Elele, Rivers State 20
- Madonna University, Okija, Anambra State 2
- Mcpherson University, Seriki Sotayo, Ogun State 1
- Michael and Cecilia Ibru University, Owhrode, Delta State 1
- Michael Okpara University of Agriculture, Umudike 43
- Michael Otedola Col of Primary Educ. Epe, Lagos (affl To University of Ibadan) 8
- Modibbo Adama University, Yola, Adamawa State 15