Soiling Loss Quantification of Roof-Top Mounted Solar Module in Mombasa Using Digital Imagery Techniques

Authors

DOI:

https://doi.org/10.48039/hsa5be31

Keywords:

PV Soiling loss, Solar PV metrology, Irradiance attenuation, Digital image processing, Autocorrelation measurements, Technical University of Mombasa, Kenya

Abstract

Photovoltaic cells' output performance is negatively impacted by the particles that are deposited on the solar panels which scatter and absorb solar energy. The particles cause shading on the PV modules and when they are densely sparse on the PV panel and depending on their light transmittance, could adversely reduce the intensity the amount of irradiance reaching the PV cells. This study quantified soiling loss of rooftop solar photovoltaic using images of soiled PV panels in Mombasa County, Kenya. This study estimated a significant intensity of soiling of rooftop mounted modules in Mombasa.  A pilot study was conducted on the roof-top of s Laboratory at Technical University of Mombasa for 90 days using two fixed angle and azimuth modules; One of them was cleaned everyday while the other was left soiled for the entire period. In the setup, high resolution pictures were taken daily for 90 days for dust pixel analysis. The analysis of the pixels revealed that soiling reduced pixel intensity on the panel by 10 per cent. Clean panel had an average pixel intensity of 132.47 in the first day. After 30, 60 and 90 days, the pixel intensity of soiled panels were 148.96, 151.96 and 148.42, respectively. It was observed that the particles that collected on the surface of the PV module reduced optical characteristics of the panel for the first two months before the onset of rain in the third month. The highest loss of 19.34 was witnessed in the second month.

Author Biographies

  • Bornvince O. Odhiambo, Technical University of Mombasa

    Department of Electrical and Electronic Engineering, Technical University of Mombasa, P.O. Box 90420 – 80100, Mombasa, Kenya

  • Eric Jobunga, Technical University of Mombasa

    Department of Mathematics and Physics, Technical University of Mombasa, P.O. Box 90420 – 80100, Mombasa, Kenya

  • Sameer Kamrudin Bachani, Technical University of Mombasa

    Department of Mechanical and Automotive Engineering, Technical University of Mombasa, P.O. Box 90420 – 80100, Mombasa, Kenya

  • Gideon Kidegho, Technical University of Mombasa

    Technical University of Mombasa, P.O. Box 90420 – 80100, Mombasa, Kenya

References

Aboagye, B., Gyamfi, S., Ofosu, E.A., & Djordjevic, S. (2021). Degradation analysis of installed solar photovoltaic (PV) modules under outdoor conditions in Ghana. Energy Reports,7:6921–6931 https://doi.org/10.1016/j.egyr.2021.10.046

Adekanbi, M.L., Alaba, E.S., John, T.J., Tundealao, T.D., & Banji, T.I. (2022). Soiling loss in solar systems: A review of its effect on solar energy efficiency and mitigation techniques. Cleaner Energy Systems,7: 100094. https://doi.org/10.1016/j.cles.2023.100094

Al Siyabi, I., Al Mayasi, A., Al Shukaili, A., & Khanna, S. (2021). Effect of soiling on solar photovoltaic performance under desert climatic conditions. Energies, 14(3). https://doi.org/10.3390/en14030659

Alharbi, F. H., & Kais, S. (2015). Theoretical limits of photovoltaics efficiency and possible improvements by intuitive approaches learned from photosynthesis and quantum coherence. Renewable and Sustainable Energy Reviews,43:1073–1089. https://doi.org/10.1016/j.rser.2014.11.101

Alshareef, M.J. (2023). A Comprehensive Review of the Soiling Effects on PV Module Performance. IEEE Access, 11(November), 134623–134651. https://doi.org/10.1109/ACCESS.2023.3337204

Bessa, J.G., Micheli, L., Almonacid, F., & Fernández, E.F. (2021). Monitoring photovoltaic soiling: assessment, challenges, and perspectives of current and potential strategies. IScience, 24(3). https://doi.org/10.1016/j.isci.2021.102165

Bhattacharya, S., & John, S. (2019). Beyond 30% Conversion Efficiency in Silicon Solar Cells: A Numerical Demonstration. Scientific Reports,9(1):1–15. https://doi.org/10.1038/s41598-019-48981-w

Bijaksana, A., & Tahcfulloh, S. (2022). Digital Image Processing for Height Measurement Application Based on Python OpenCV and Regression Analysis. 6: 763–770

Hachicha, A.A., Al-Sawafta, I., & Said, Z. (2019). Impact of dust on the performance of solar photovoltaic (PV) systems under United Arab Emirates weather conditions. Renewable Energy, 141, 287–297. https://doi.org/10.1016/j.renene.2019.04.004

Haider A. (2024). A Comprehensive Overview of Digital Image Processing: Techniques, Application, and Evolving Technologies. ILMA Journal of Technology & Software Management, 5(1)

Hasan, K., Yousuf, S.B., Tushar, M.S.H.K., Das, B. K., Das, P., & Islam, M.S. (2022). Effects of different environmental and operational factors on the PV performance: A comprehensive review. Energy Science and Engineering,10(2):656–675. https://doi.org/10.1002/ese3.1043

Jackman, B., Sarraj, A.A., Jackman, B., & Walsh, F. (2021). Self-Calibration of Fish-Eye Camera for Advanced Driver Assistance Systems. Renewable and Sustainable Energy Reviews

Molelu, O.T., & Jefwa Charo, T. (2024). Recurring Floods in Mombasa, Kenya: A Socio-Economic and Ecological Perspective. 1–5. https://doi.org/10.7916/6ws9-dm57

Pouladian-Kari, A., Eslami, S., Tadjik, A., Kirchner, L., Pouladian-Kari, R., & Golshanfard, A. (2022). A novel solution for addressing the problem of soiling and improving performance of PV solar systems. Solar Energy, 241:315–326. https://doi.org/10.1016/J.SOLENER.2022.06.012

Shahzad, N., Hussain, N., Umar, S., Azam, M. F., Yousaf, T., & Waqas, A. (2025). Impacts of soiling on solar panel performance and state-of-the-art effective cleaning methods: A recent review. Journal of Cleaner Production,497:145119. https://doi.org/10.1016/J.JCLEPRO.2025.145119

Shaik, S., Vigneshwaran, P., Roy, A., Kontoleon, K.J., Mazzeo, D., Cuce, E., Saleel, C.A., Alwetaishi, M., Khan, S.A., Gürel, A.E., & Ağbulut, Ü. (2023). Experimental analysis on the impacts of soil deposition and bird droppings on the thermal performance of photovoltaic panels. Case Studies in Thermal Engineering, 48. https://doi.org/10.1016/j.csite.2023.103128

Smestad, G.P., Germer, T.A., Alrashidi, H., Fernández, E.F., Dey, S., Brahma, H., Sarmah, N., Ghosh, A., Sellami, N., Hassan, I. A. I., Desouky, M., Kasry, A., Pesala, B., Sundaram, S., Almonacid, F., Reddy, K. S., Mallick, T.K., & Micheli, L. (2020). Modelling photovoltaic soiling losses through optical characterization. Scientific Reports,10(1):1–13. https://doi.org/10.1038/s41598-019-56868-z

Yang, M., Ji, J., & Guo, B. (2020). Soiling Quantification Using an Image-Based Method: Effects of Imaging Conditions. IEEE Journal of Photovoltaics, 10(6): 1780–1787. https://doi.org/10.1109/JPHOTOV.2020.3018257

Zeedan, A., Barakeh, A., Al-Fakhroo, K., Touati, F., & Gonzales, A.S.P. (2021). Quantification of pv power and economic losses due to soiling in Qatar. Sustainability (Switzerland), 13(6). https://doi.org/10.3390/su13063364

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Published

2026-06-30

How to Cite

Odhiambo, B., Jobunga, E., Kamrudin Bachani, S., & Kidegho, G. (2026). Soiling Loss Quantification of Roof-Top Mounted Solar Module in Mombasa Using Digital Imagery Techniques. Multidisciplinary Journal of Technical University of Mombasa, 5(1), 1-15. https://doi.org/10.48039/hsa5be31

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