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Abstract
The solar panel cleaning system utilizes a rechargeable battery and is activated by a switch through a mobile application. The cleaning tool is moved horizontally by pressing a button in the mobile application and sends an output signal to the gear motors using internet access. Cleaning solar panels on a commercial and industrial scale can be difficult due to the lack of readily available water and power sources. Rooftops, carports, and other elevated structures provide unique cleaning challenges. A solar panel cleaning system based on a Linear Piezoelectric Actuator (LPA) is intended to enable a solar panel to operate in optimal power-producing conditions regardless if employed in a gross climate. The energy flow, the solar power source, the supercapacitor-battery hybrid storage system, and the load are effectively managed using a Support Vector Machine (SVM)-based load predictive energy management system. Hence, LPA-SVM is a solar panel cleaning system that can diminish dirt accumulating on the surface. Cleaning solar panels may improve performance by removing dust, dirt, and pollutants like leaves and bugs. Clean the contaminants with water and a soft, non-abrasive sponge and towel for optimal results and to avoid damaging the solar panels in the accessibility.
Authorship Contributions
All authors are contributed equally to this work
Data Availability Statement
Data sharing not applicable to this article as no datasets were generated or analyzed during the current study
Disclosure Statement
No potential conflict of interest was reported by the authors.
Ethics Approval and Consent to Participate
No participation of humans takes place in this implementation process
Human and Animal Rights
No violation of Human and Animal Rights is involved.
Additional information
Notes on contributors
P. T. Supriya
P. T. Supriya, she received the Bachelor of Engineering degree from Nandha Engineering college, Erode, Tamilnadu, India, by the year 2010 and she received Master of Engineering degree from the J. J. College of Engineering and Technology, Trichy, Tamilnadu, India, by the year 2012. Now she is working in Department of Electrical and Electronics Engineering as Assistant Professor at Gnanamani college of Technology Rasipuram, Namakkal District, Tamil Nadu, India. She has published papers in many journals and participated in national and international conferences. Her area of interest includes renewable energy, Inverters, embedded system and AI.
R. Prakash
R. Prakash, he received the Bachelor of Engineering degree from GCT (Government College of Technology) Coimbatore, Tamilnadu, India, by the year 2000 and he received Master of Technology degree from the College of Engineering, Thiruvananthapuram, Kerala, India, year 2003. He received his doctorate in the department of Electrical and Electronics Engg., from Anna University, Chennai, India, by the year 2012. He received many funded projects from Govt of India. Now he is working in Department of Electrical and Electronics Engg., as Professor at Muthayammal Engineering College (Autonomous) Rasipuram, Namakkal District, Tamil Nadu, India. He has authored over Fifty research Publication in journals and many publications in national and international conferences. His area of interest includes Fuzzy logic, adaptive control, control system and neural network.