Journal of Electrical Engineering and Automation
IRO Journals
Volume 6 — Issue 3 — September 2024

IoT based Solar Panel Cleaning Rover

https://doi.org/10.36548/jeea.2024.3.006
Sruthi S Madhavan
Assistant Professor, Department of Artificial Intelligence and Data Science, Nehru Institute of Engineering and Technology, Anna University, Coimbatore, Tamil Nadu, India
Arunjunai Raja G.
Department of Artificial Intelligence and Data Science, Nehru Institute of Engineering and Technology, Anna University, Coimbatore, Tamil Nadu, India
Harish Ragaventhira D.
Department of Artificial Intelligence and Data Science, Nehru Institute of Engineering and Technology, Anna University, Coimbatore, Tamil Nadu, India
Swathi G.
Department of Artificial Intelligence and Data Science, Nehru Institute of Engineering and Technology, Anna University, Coimbatore, Tamil Nadu, India
PDF
PDF

How to Cite

Madhavan, Sruthi S, Arunjunai Raja G., Harish Ragaventhira D., and Swathi G. 2024. “IoT Based Solar Panel Cleaning Rover”. Journal of Electrical Engineering and Automation 6 (3): 258-69. https://doi.org/10.36548/jeea.2024.3.006.
ACM ACS APA ABNT Chicago Harvard IEEE MLA Turabian Vancouver AMA

Download Citation

Endnote/Zotero/Mendeley (RIS) BibTeX

Keywords

— IoT
— Solar Panel Cleaning
— Rover
— Sensors
— Manual Automation
Published: 03-08-2024

Abstract

The primary objective of this proposed study is to design a system for effectively maintaining the cleanliness of solar panels, thereby enhancing their performance and longevity through an Internet of Things-based solar panel cleaning rover equipped with a sensors, and manual automation capabilities. A suite of sensors, including dust sensors, enables the rover to gather relevant data about the cleanliness status and ambient conditions surrounding the solar panels. Manual automation features empower users to intervene and control the rover's movements and cleaning actions as needed, providing flexibility and customization in operation. Furthermore, the rover is designed to connect directly with water tanks, facilitating an autonomous water supply for the cleaning process. A sponge brush mechanism is integrated into the rover's design to effectively remove dust from the solar panel surfaces. The proposed work has developed a prototype of the IoT-based solar panel cleaning rover, which has been tested to demonstrate its effectiveness in improving solar panel efficiency and reducing maintenance efforts.

References

  1. Olorunfemi, Benjamin Oluwamuyiwa, Omolola A. Ogbolumani, and Nnamdi Nwulu. "Solar panels dirt monitoring and cleaning for performance improvement: a systematic review on smart systems." Sustainability 14, no. 17 (2022): 10920.
  2. Ghafoor, Muazzam, Arslan Ahmed Amin, and Muhammad Shoaib Khalid. "Design of IoT-based solar array cleaning system with enhanced performance and efficiency." Measurement and Control (2024): 00202940241233383.
  3. Najmi, Nouhaila, and Ahmed Rachid. "A review on solar panel cleaning systems and techniques." Energies 16, no. 24 (2023): 7960.
  4. Megantoro, Prisma, Abdul Abror, Muhammad Akbar Syahbani, Antik Widi Anugrah, Sigit Dani Perkasa, Herlambang Setiadi, Lilik Jamilatul Awalin, and Pandi Vigneshwaran. "Autonomous and smart cleaning mobile robot system to improve the maintenance efficiency of solar photovoltaic array." Bulletin of Electrical Engineering and Informatics 12, no. 6 (2023): 3288-3297.
  5. Kumar, S. Santosh, and Keshava Murthy. "Solar Powered PV Panel Cleaning Robot." In 2020 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT), Bangalore, India. IEEE, 2020. 169-172.
  6. Rao, Archana, and S. Santosh Kumar. "Smart IoT based solar panel cleaning system." In 2018 3rd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT), Bangalore, India. IEEE, 2018. 2357-2361.
  7. Hashim, Nurhasliza, M. N. Mohammed, Rubendren AL Selvarajan, Salah Al-Zubaidi, and Samaher Mohammed. "Study on solar panel cleaning robot." In 2019 IEEE international conference on automatic control and intelligent systems (I2CACIS) Selangor, Malaysia, IEEE, 2019. 56-61.
  8. Singarapu, Sathish, K. Swaraja, and Madhu Kirola. "Smart Iot Based Solar Panel Cleaning System." In E3S Web of Conferences, vol. 430, EDP Sciences, 2023 Newcastle, England,. 01147.
  9. Tranca, Dumitru-Cristian, Daniel Rosner, and Alexandru-Viorel Palacean. "Autonomous flexible low power industrial IoT controller for solar panels cleaning systems." In 2017 21st International Conference on Control Systems and Computer Science (CSCS), Bucharest, Romania IEEE, 2017. 106-112.
  10. Chakaborty, Shamita, Yogini Dilip Borole, Archana S. Nanoty, Anurag Shrivastava, Sanjiv Kumar Jain, and Moti Lal Rinawa. "Smart Remote Solar Panel Cleaning Robot with Wireless Communication." In 2021 9th International Conference on Cyber and IT Service Management (CITSM), Bengkulu, Indonesia,IEEE, 2021.1-5.
  11. Jadhav, Digambar, Vaibhav Muddebhalkar, and Ashok Korke. "Dust cleaner system for PV panel using IoT." International Journal of Computer Applications 975 (2019): 8887.
  12. Khadka, Nasib, Aayush Bista, Binamra Adhikari, Ashish Shrestha, Diwakar Bista, and Brijesh Adhikary. "Current practices of solar photovoltaic panel cleaning system and future prospects of machine learning implementation." IEEE Access 8 (2020): 135948-135962.
  13. Supriya, P. T., and R. Prakash. "Solar panel cleaning system using smart hybrid embedded systems with IoT assistance." Electric Power Components and Systems (2023): 1-12.