UAV-based thermal monitoring of solar panels for different topographic conditions
Keywords:
UAV, Thermal monitoring, Solar farm, Solar panel, Solar efficiencyAbstract
The unmanned aerial vehicles (UAVs) can be used to monitor photovoltaic (PV) systems, specifically focusing on their integration with thermal imaging technology. The process involves equipping UAVs with integrated thermal cameras to capture aerial photographs, which are then used to generate thermal orthomosaic. These thermal data play a crucial role in efficiency calculations for solar panels in solar farms. The integration of UAVs with thermal imaging technology offers several advantages. It provides a rapid and cost-effective solution for monitoring solar farms where human resources may be limited. The use of thermal orthomosaic instead of multiple thermal aerial photographs streamlines the data collection process, allowing for efficient temperature and efficiency calculations. The temperatures and efficiencies of solar panels in different geographic directions in solar farms were rapidly examined using UAV. It has been calculated that temperatures vary more significantly based on direction than efficiencies. Although solar panels have regional temperature differences of approximately 1 to 8°C, panel efficiency was within 1%. Therefore, there might be directional temperature differences in solar farm, panel
efficiencies were similar during winter months.
References
1. Papageorgas, P., Piromalis, D., Antonakoglou, K., Vokas, G., Tseles, D., & Arvanitis K. G. (2013). Smart solar panels: in-situ monitoring of photovoltaic panels based on wired and wireless sensor networks. Energy Procedia, 36, 535-545. https://doi.org/10.1016/j.egypro.2013.07.062
2. Meribout, M., Tiwari, V. K., Herrera, J. P. P., & Baobaid, A. N. M. A. (2023). Solar panel inspection techniques and prospects. Measurement, 209, 112466. https://doi.org/10.1016/j.measurement.2023.112466
3. Krishna, H. A., Misra, N. K., & Suresh, M. S. (2011). Solar cell as a capacitive temperature sensor. IEEE Transactions on Aerospace and Electronic Systems, 47(2), 782-789. https://doi.org/10.1109/TAES.2011.5751225
4. Murphy, R. R., Stover, S. L., Pratt, K. B., & Arnett, J. (2008). Mobile robots in mine rescue and recovery. IEEE Robotics & Automation Magazine, 15(2), 72-83. https://doi.org/10.1109/MRA.2009.932521
5. Zarco-Tejada, P. J., Hubbard, N., & Loudjani, P. (2014). Precision agriculture: an opportunity for EU farmers – potential support with the CAP 2014-2020. European Union Directorate-General for Internal Policies.
6. Matese, A., & Di Gennaro, S. F. (2018). Technology in Precision Viticulture: A State of the Art Review. International Journal of Wine Research, 10, 69-87. https://doi.org/10.2147/IJWR.S69405
7. Sambhi, S. (2018). Thermal imaging technology for predictive maintenance of electrical installation in
manufacturing plant-a literature review. 2nd IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES-2018).
8. Zhang, Z., & Zhu, L. (2023). A review on unmanned aerial vehicle remote sensing: platforms, sensors, data processing methods, and applications. Drones, 7(6), 398. https://doi.org/10.3390/drones7060398
9. Zefri, Y., ElKettani, A., Sebari, I., & Ait Lamallam, S. (2018). Thermal infrared and visual inspection of photovoltaic installations by UAV photogrammetry—application case: Morocco. Drones, 2(4), 41. https://doi.org/10.3390/drones2040041
10. Sizkouhi, A. M. M., Esmailifar, S. M., Aghaei, M., De Oliveira, A. K. V., & Rüther, R. (2019). Autonomous path planning by unmanned aerial vehicle (UAV) for precise monitoring of large-scale PV plants. In 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC), 1398-1402. IEEE. https://doi.org/10.1109/PVSC40753.2019.8980862
11. Liao, K-C., & Lu, J-H. (2021). Using UAV to detect solar module fault conditions of a solar power farm with IR and visual image analysis. Applied Sciences, 11(4), 1835. https://doi.org/10.3390/app11041835
12. Akay, S. S., Özcan, O., Özcan, O., & Yetemen, Ö. (2024). Efficiency analysis of solar farms by UAV-based thermal monitoring. Engineering Science and Technology, an International Journal, 53, 101688, 2215-0986. https://doi.org/10.1016/j.jestch.2024.101688
13. Kuo, C-F.J., Chen, S-H., & Huang C-Y. (2023). Automatic detection, classification and localization of defects inlargephotovoltaic plants using unmanned aerial vehicles (UAV) based infrared (IR) and RGB imaging. Energy Conversion and Management, 276, 116495. https://doi.org/10.1016/j.enconman.2022.116495
14. Luo, X., Li, X., Yang, Q., Wu, F., Zhang, D., Yan, W., & Xi, Z. (2017). Optimal path planning for UAV based inspection system of large-scale photovoltaic farm. In: 2017 Chinese Automation Congress. CAC, IEEE, 4495–500. http://dx.doi.org/10.1109/CAC.2017.8243572
15. Dubey, S., Sarvaiya, J. N., & Seshadri B. (2013). Temperature dependent photovoltaic (PV) efficiency and its effect on PV production in the world – a review. Energy Procedia, 33, 311–321. https://doi.org/10.1016/j.egypro.2013.05.072
16. Republic of Turkey Ministry of Energy and Natural Resources (2024). Turkey's national renewable energy action plan. https://www.enerjiatlasi.com/gunes-enerjisi-haritasi/turkiye. Accessed 04 June 2024
17. Ministry of Energy and Natural Resources, Turkey (2022). Renewable energy statistics report. Available: https://enerji.gov.tr/infobank-energy-electricity
18. Alanya Municipality (2023). Solar energy power plant project proposal. Available: https://www.alanya.bel.tr/Documents/Faaliyet/2023/files/basic-html/page180.html
19. Global Solar Atlas (2023). Photovoltaic power potential. Available: https://globalsolaratlas.info/
20. Kırcalı, Ş., & Selim, S. (2021). Site suitability analysis for solar farms using the geographic information system and multi-criteria decision analysis: the case of Antalya, Turkey. Clean Techn Environ Policy , 23, 1233–1250. https://doi.org/10.1007/s10098-020-02018-3
21. Kruger, D., Hennecke, K., Schwarzbozl, P., Lokurlu, A., & Richarts, F. (2002). Parabolic troughcollectors for cooling and heat supply of a hotel in Turkey. CD-Proceedings of World Renew-able Energy Congress VII (WREC 2002). 29 June–5 July, Cologne, Germany.
22. Solar Fabrik GmbH (2024). Production characteristics. Available: https://www.solar-fabrik.de/en/products
23. DJI (2024). Zenmuse H20 series specs. Available: https://enterprise.dji.com/zenmuse-h20-series/specs.
24. Raptor Maps (2024). Flight guidelines. Available: https://raptormaps.com/.
25. Yadav, A. K., & Chandel, S. S. (2013). Tilt angle optimization to maximize incident solar radiation: a review. Renewable and Sustainable Energy Reviews, 23, 503-513. https://doi.org/10.1016/j.rser.2013.02.027
26. Huld, T., Gottschalg, R., Beyer, H. G., & Topič, M. (2010). Mapping the performance of PV modules, effects of
module type and data averaging. Solar Energy, 84(2), 324-338. https://doi.org/10.1016/j.solener.2009.12 .002
27. Green, M. A., Hishikawa, Y., Dunlop, E. D., Levi, D. H., Hohl-Ebinger, J., & Ho-Baillie, A. W. Y. (2018). Solar cell efficiency tables (version 52), Progress in Photovoltaics: Research and Applications, 26(7), 427–436. https://doi.org/10.1002/pip.3040
28. Weather Spark (2024). Antalya Ariport wheather report. Available: https://tr.weatherspark.com/h/d/148633/2023/2/11/11-%C5%9Eubat-2023-Cumartesi-tarihinde-Antalya-Havaliman%C4%B1-T%C3%BCrkiye-Ortalama-Hava-Durumu#metar-14-50
