Assessment of solar panel contamination via its image in Libya climate
https://doi.org/10.21122/2309-4923-2024-4-41-46
Abstract
About the Authors
A. A. AlbagoushBelarus
Albagoush Alaaeddin Ali is pursuing his PhD in Computer Engineering in Belarusian National Technical University. He is currently working as head of the communications department at the General Electricity Company of Libya.
Minsk
A. B. Kupriyanov
Belarus
Kupriyanov Andrey Borisovich, PhD, Associate professor at the Software Department
Minsk
References
1. Albagoush A.A., Abuauba A.B., Kupriyanov A.B. Study of the effect of dust deposition on solar panels in Libya. Mathematical methods in technologies and technics, 2023, no. 10, pp. 76-81. DOI: 10.52348/2712-8873_MMTT_2023_10_76
2. Hasan K. [et al.]. Effects of different environmental and operational factors on the PV performance: A comprehensive review Islam Energy Science and Engineering, John Wiley and Sons Ltd, 2022, vol. 10, no. 2. pp. 656-675. DOI: 10.1002/ese3.1043
3. W. Kean Yap, R. Galet, and K.C. Yeo. Quantitative Analysis of Dust and Soiling on Solar PV Panels in the Tropics Utilizing Image-Processing Methods. Proceedings of the Asia Pacific Solar Research Conference 2015, Publ.: Australian PV Institute, Ed.: R. Egan and R. Passey, Dec 2015.
4. Po-Ching Hwang, H. Intelligent cleanup scheme for soiled photovoltaic modules / H. Po-Ching Hwang, C.C.Y. Ku, M. Chao-Yang Huang Energy, Feb. 2023, vol. 265. DOI: 10.1016/j.energy.2022.126293
5. Zhang W. Deep-learning-based probabilistic estimation of solar PV soiling loss / W. Zhang, S. Liu, O. Gandhi, C.D. Rodriguez-Gallegos, H. Quan, D. Srinivasan. IEEE Trans Sustain Energy, 2021, vol. 12, no. 4, pp. 2436-2444. DOI: 10.1109/TSTE.2021.3098677
6. Ritu M., Shamaun А., Asutosh P. An approach for detection of dust on solar panels using CNN from RGB dust image to predict power loss. Cognitive Computing in Human Cognition: Perspectives and Applications (Learning and Analytics in Intelligent Systems, 2020, pp. 41-48. DOI: 10.1007/978-3-030-48118-6_4
7. Levin B.R. Theoretical foundations of statistical radio engineering. 3rd ed., revised and enlarged. M.: Radio and communication, 1989, 656 p.
Review
For citations:
Albagoush A.A., Kupriyanov A.B. Assessment of solar panel contamination via its image in Libya climate. «System analysis and applied information science». 2024;(4):41-46. https://doi.org/10.21122/2309-4923-2024-4-41-46