Advancements in solar panel maintenance: a review of IoT-integrated automatic dust cleaning systems
Balamurugan Rangaswamy
drnrbals@gmail.comK.S.Rangasamy College of Technology, Department of Electrical and Electronics Engineering (India)
https://orcid.org/0000-0002-1040-7731
Ramasamy Nithya
K.S.Rangasamy College of Technology, Department of Electrical and Electronics Engineering (India)
Abstract
This study aims to develop an IoT-integrated automatic dust cleaning device tailored for solar panels to enhance their performance and longevity. The cleaning process combines dry and wet cleaning techniques to effectively clean solar panels in a single line. First, dry cleaning methods such as brushes are used to remove loose debris like dust, leaves, and bird droppings. Then, wet cleaning is applied using a vinegar with mild detergent solution to remove stubborn stains and dirt buildup. This combination ensures thorough cleaning while minimizing water usage and environmental impact. The developed IoT-integrated automatic dust cleaning device effectively mitigates the negative impact of dust accumulation on solar panel performance. When compared to the characteristics of the clean module, the short circuit current (ISC) and output power of the photovoltaic solar modules with dust accumulation on their surface are reduced. For a day, a week, and a month of panel exposure to dust, the average deprivation rates of the solar modules' efficiency exposed to dust are 7.32%, 10.78%, and 14.52%, respectively. Experimental results demonstrate significant improvements in energy output and operational efficiency of in average of 12.37 %, following the implementation of this cleaning system. This system shows good solution to analyze the solar panel performance and to optimize it. This study presents a novel approach by integrating IoT technology into automatic dust cleaning devices for solar panels, enabling proactive maintenance and remote monitoring capabilities. It offers both dry and wet cleaning methods consequently for having optimized output. The innovative design contributing to the sustainability of solar energy systems with low cost for the users and provides remote accessing of data from anywhere in the world through cloud server. It is cost effective solution for the solar farm maintenance and helps in reducing the frequent manual interventions.
Keywords:
IoT, automatic cleaning, dust removal, solar panels, renewable energyReferences
[1] Abdolahzadeh M. et al.: Numerical simulation of dust deposition on rooftop of photovoltaic parking lots supporting electric vehicles charging. Journal of Wind Engineering and Industrial Aerodynamics 239, 2023, 105444 [https://doi.org/10.1016/j.jweia.2023.105444].
Google Scholar
[2] Al-Badra M. Z. et al.: A novel technique for cleaning PV panels using antistatic coating with a mechanical vibrator. Energy Reports 6, 2020, 1633–1637 [https://doi.org/10.1016/j.egyr.2020.06.020].
Google Scholar
[3] Amirov D. I, Zatsarinnaya Y. N.: Automated system for cleaning solar panels based on a linear actuator. IOP Conference Series: Materials Science and Engineering 1035(1), 2021, 1–6 [https://doi.org/10.1088/1757-899X/1035/1/012001].
Google Scholar
[4] Biswas S. et al.: IoT-Based Automated Solar Panel Cleaning and Monitoring Technique. Journal of Engineering Research and Reports 25(8), 2023, 56–69 [https://doi.org/10.9734/jerr/2023/v25i8959].
Google Scholar
[5] Dhanalakshmi K. S. et al.: Solar Panel Cleaning Robot Using Wireless Communication. Annals of the Romanian Society for Cell Biology, 2021, 17107–17116.
Google Scholar
[6] Guarav P. et al.: Solar Panel Cleaner Using Vibrator and Air Blower for Desert Location. International Journal of Advanced Research in Science, Communication and Technology (IJARSCT) 2(1), 2022, 138–145 [https://doi.org/10.48175/IJARSCT-4575].
Google Scholar
[7] Haris M. et al.: Dust accumulation and aggregation on PV panels: An integrated survey on impacts, mathematical models, cleaning mechanisms, and possible sustainable solution. Solar Energy 251, 2023, 261–285 [https://doi.org/10.1016/j.solener.2023.01.010].
Google Scholar
[8] Hasan A, Dincer I.: A new performance assessment methodology of bifacial photovoltaic solar panels for offshore applications. Energy Conversion and Management 220(1129720), 2020, 1–6 [https://doi.org/10.1016/j.enconman.2020.112972].
Google Scholar
[9] Khadka N. et al.: Smart solar photovoltaic panel cleaning system. IOP Conference Series: Earth and Environmental Science 463(1), 2020, 1–9 [https://doi.org/10.1088/1755-1315/463/1/012121].
Google Scholar
[10] Manju B. et al.: Automatic solar panel cleaning system. International Journal of Advances in Scientific Research and Engineering 4(7), 2018, 26–31 [https://doi.org/10.31695/IJASRE.2018.32778].
Google Scholar
[11] Moharram K. A. et al.: Influence of cleaning using water and surfactants on the performance of photovoltaic panels. Energy Conversion and Management 68, 2013, 266–272 [https://doi.org/10.1016/j.enconman.2013.01.022].
Google Scholar
[12] Vaghani M. et al.: Automated Solar Panel Cleaning System using IoT. International Research Journal of Engineering and Technology (IRJET) 6(4), 2019, 1392–1395.
Google Scholar
[13] Vinith S. et al.: IoT based Smart and Automated Solar Panel Cleaning System. Second International Conference on Electronics and Renewable Systems (ICEARS), Tuticorin, India, 2023, 566–571 [https://doi.org/10.1109/ICEARS56392.2023.10085427].
Google Scholar
[14] Waqas R. et al.: Experimental investigation of soiling losses and a novel cost-effective cleaning system for PV modules. Solar Energy 201, 2020, 298–306 [https://doi.org/10.1016/j.solener.2020.03.014].
Google Scholar
[15] Zatsarinnaya Y. et al: Solar Panel Cleaning System Based on the Arduino Microcontroller. Ural Smart Energy Conference (USEC), Ekaterinburg, Russia, 2020, 17–20 [https://doi.org/10.1109/USEC50097.2020.9281239].
Google Scholar
Authors
Balamurugan Rangaswamydrnrbals@gmail.com
K.S.Rangasamy College of Technology, Department of Electrical and Electronics Engineering India
https://orcid.org/0000-0002-1040-7731
Authors
Ramasamy NithyaK.S.Rangasamy College of Technology, Department of Electrical and Electronics Engineering India
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