USE OF DRONES FOR SOLAR PANEL INSPECTION IN SOLAR PARKS

USE OF DRONES FOR SOLAR PANEL INSPECTION IN SOLAR PARKS

Authors

  • Stefan Dobrev Konstantin Preslavsky University of Shumen, Faculty of Technical Sciences, Bulgaria

DOI:

https://doi.org/10.46687/jsar.v28i1.422

Keywords:

Drones, Photogrammetry, Solar parks, Photovoltaic panels, Monitoring, RGB, Mission planning, Security, Sniffer, Traffic

Abstract

The use of drones to inspect solar panels in solar parks has become one of the most effective, efficient, and safe approaches for maintaining and optimizing largescale photovoltaic (PV) installations.

Author Biography

Stefan Dobrev, Konstantin Preslavsky University of Shumen, Faculty of Technical Sciences, Bulgaria

DEPARTMENT OF GEODESY, FACULTY OF TECHNICAL SCIENCES, KONSTANTIN PRESLAVSKY UNIVERSITY OF SHUMEN, SHUMEN 9712,115, UNIVERSITETSKA STR., E-MAIL: st.dobrev@shu.bg

References

A. P. J. M. De Sousa, P. P. Rebouças Filho, and V. H. C. De Albuquerque, “Thermal Image-Based Fault Detection in Photovoltaic Plants Using UAVs,” IEEE Access, vol. 8, pp. 132–147, 2020.

J. K. Kharangar, R. K. Mandal, and N. Yadav, “Drone-Based Thermal Inspection for Fault Detection in Solar PV Modules,” International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering (IJAREEIE), vol. 10, no. 5, pp. 4521–4528, 2021.

Niyazi-Yusuf, M. “Application of remote methods with unmanned aerial systems for the production of cadastral maps and cadastral registers on the territory of the Republic of Bulgaria”, Mersin Photogrammetry Journal, vol. 7, no. 1, pp. 1–8, Mersin, Turkiye, 2025, doi: 10.53093/mephoj.1666110.

Raptor Maps Inc. (2023). Solar PV Inspection and Analysis Using Drones. Available at: https://raptormaps.com.

International Energy Agency (IEA). (2022). Operations and Maintenance of Photovoltaic Power Plants. Paris: IEA-PVPS Task 13.

Ivanova, A., Feed-Forward Neural Network for Graphical Symbol Recognition in Additive Noise Environment, Proceedings of the 7th IEEE International Conference “Big Data, Knowledge and Control Systems Engineering” (BdKCSE’2021) 28–29 October 2021, Sofia, Bulgaria, Electronic ISBN: 978-1-6654-1042-7, Print on Demand (PoD) ISBN: 978-1-6654-1043-4, DOI: 10.1109/BdKCSE53180.2021.96272 89, pp. 1-8 (SCOPUS).

M. R. Islam, T. Khatun, and R. Dey, “Integration of Drone-Based Thermal Imaging and AI for Predictive Maintenance in Solar Farms,” Journal of Cleaner Production, vol. 355, 131821, 2023.

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Published

13.11.2025

How to Cite

Dobrev, S. (2025). USE OF DRONES FOR SOLAR PANEL INSPECTION IN SOLAR PARKS: USE OF DRONES FOR SOLAR PANEL INSPECTION IN SOLAR PARKS. JOURNAL SCIENTIFIC AND APPLIED RESEARCH, 28(1), 36–40. https://doi.org/10.46687/jsar.v28i1.422