Development of a Self-Cleaning Mechanism for Solar Panels to Enhance Efficiency

Year : 2024 | Volume :11 | Issue : 01 | Page : 1-10
By

S. Rajemdra Prasad

Nellampani Pavan Kumar

  1. Associate Professor Mechanical Engineering,Kamala Institute of Technology & Science Telangana India
  2. Student Mechanical Engineering,Kamala Institute of Technology & Science Telangana India

Abstract

On Earth, solar energy is the most plentiful source of energy. As it happens, the heat generated by the fusion of helium on the outermost part of the Sun additionally happens to be renewable. This energy is becoming popular because of natural advantages. In digital circuit design, AI can aid in logic synthesis and analog circuit design, AI can help in sizing transistors. The tools used to transform daylight into battery power are called photovoltaic (PV) modules. When photons of light impact activated the silicon junction panels, they form electrons, which create a potential difference across the junction and cause current to flow. Although a great deal of advanced research is being conducted in the fields of materials engineering either silicon junction, etc. to fully realize the promise of solar energy, the maximum efficiency that has been commercially attained only reaches 16–22%. While performance rises when more photons strike the junction, the amount of photons that reach the Si junction decreases when dust settles on these photovoltaic panels, significantly lowering productivity. In digital circuit design, AI can aid in logic synthesis and analog circuit design, AI can help in sizing transistors. Currently, the panels are cleaned by hand, which is labor-intensive, time-consuming, and not advantageous. Therefore, a system that would solve all of these issues is necessary. An extensive analysis of the impact of dust settlement on photovoltaic module performances is carried out in this paper. Dust, filth, and moisture reduce the performance of solar power panels, making them less helpful and less efficient. This study focuses on the development of an automated solar panel cleaning system that is both advantageous and maintains the highest level of efficacy by keeping the screens’ upper layer clean.

Keywords: Photo Voltaic modules, silicon junction, solar panels, solar energy, efficiency

[This article belongs to Journal of Mechatronics and Automation(joma)]

How to cite this article: S. Rajemdra Prasad, Nellampani Pavan Kumar. Development of a Self-Cleaning Mechanism for Solar Panels to Enhance Efficiency. Journal of Mechatronics and Automation. 2024; 11(01):1-10.
How to cite this URL: S. Rajemdra Prasad, Nellampani Pavan Kumar. Development of a Self-Cleaning Mechanism for Solar Panels to Enhance Efficiency. Journal of Mechatronics and Automation. 2024; 11(01):1-10. Available from: https://journals.stmjournals.com/joma/article=2024/view=150051

References

  1. Bhuvaneswari, “The Internet of Things (IoT) Applications and Communication Enabling Technology Standards: An Overview”, 2014 International Conference on Intelligent Computing Applications, 978-1-4799-3966-4/14 $31.00 © 2014 IEEE
  2. Swanand S. Wable, Somashekhar Ganiger, “Design & Manufacturing of Solar Panels Cleaning System”, International Journal for Research in Applied Science & Engineering Technology (IJRASET), Volume 5 Issue VII, July 2017.
  3. Manju B., Abdul Bari and Pavan C M, “Automatic Solar Panel Cleaning System”, International Journal of Advances in Scientific Research and Engineering (ijasre), Volume 4, Issue 7, July – 2018.
  4. G, Dr. Jeyalakshmi.C, “A Study of IoT based Solar Panel Tracking System”, Advances in Computational Sciences and Technology ISSN 0973-6107 Volume 11, Number 7 (2018).
  5. Kannan, N., & Vakeesan, D. (2016). Solar energy for future world: A review. Renewable and sustainable energy reviews, 62, 1092-1105.
  6. Liu, S. Yue, L. Lu, and J. Li, “Investigation of the Dust Scaling Behaviour on Solar Photovoltaic Panels,” J. Cleaner Production, 2021, 126391.
  7. Sugiartha et al., “Preliminary design and test of water spray solar panel cleaning system,” J. Physics: Conf. Series, vol. 1450, 012108, Feb. 2020
  8. Labay, D. G., & Kinnear, T. C. (1981). Exploring the consumer decision process in the adoption of solar energy systems. Journal of consumer research, 8(3), 271-278.
  9. Dincer, F. (2011). The analysis on photovoltaic electricity generation status, potential and policies of the leading countries in solar energy. Renewable and sustainable energy reviews, 15(1), 713-720.

Regular Issue Subscription Review Article
Volume 11
Issue 01
Received April 10, 2024
Accepted May 1, 2024
Published June 13, 2024