Abstract
Soiling on photovoltaic panels is a factor that has a significant impact on the photovoltaic production. The monitoring of the soiling index appears as a relevant alternative for the maintenance of solar systems. This work proposes a soiling index modelling for photovoltaic systems based on two input variables, namely the solar radiation and the generated current, providing a simple, programmable and reliable way to check the efficiency and be able to establish the parameters for cleaning the system. The study was based on the adaptation of an existing mathematical modelling, that besides to estimate the soiling index also allows to establish an optimal point for cleaning. The proposed model is compared with the results provided by the PVSyst software aiming its validation. The achieved results show that, despite the developed system only consider two input variables, it presents a low relative error, i.e. 2.07%, when compared to the PVSyst software, allowing to conclude that the proposed modelling system is valid and presents excellent reliability, having a vast applicability in the monitoring of solar producers of any model or size.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
European Commission, “Novel carbon capture and utilisation technologies.” https://ec.europa.eu/research/sam/pdf/ sam_ccu_report.pdf#view=fit&page mode=none. Accessed June 2019
IEA, “World energy outlook 2019.” https://www.iea.org/reports/world-energy-outlook-2019
IRENA, “Renewable energy statistics 2019.” https://www.irena.org/publications/2019/Jul/Renewable-energy-statistics-2019
Gil, F.G., Martin, M., Vara, J.P., Calvo, J.R., Perlovsky, L., Dionysiou, D., Zadeh, L., Kostic, M., Gonzales-Concepcion, C., Jaberg, H., et al.: A review of solar tracker patents in Spain. In: Proceedings of the Energy Problems and Environmental Engineering, pp. 292–297 (2009)
Said, S.A., Hassan, G., Walwil, H.M., Al-Aqeeli, N.: The effect of environmental factors and dust accumulation on photovoltaic modules and dust-accumulation mitigation strategies. Renew. Sustain. Energy Rev. 82, 743–760 (2018)
Ibrahim, A., et al.: Effect of shadow and dust on the performance of silicon solar cell. J. Basic Appl. Sci. Res. 1(3), 222–230 (2011)
Mani, M., Pillai, R.: Impact of dust on solar photovoltaic (PV) performance: research status, challenges and recommendations. Renew. Sustain. Energy Rev. 14(9), 3124–3131 (2010)
Hafez, A., Yousef, A., Harag, N.: Solar tracking systems: technologies and trackers drive types-a review. Renew. Sustain. Energy Rev. 91, 754–782 (2018)
Wu, J., Hou, H., Yang, Y.: Annual economic performance of a solar-aided 600 MW coal-fired power generation system under different tracking modes, aperture areas, and storage capacities. Appl. Therm. Eng. 104, 319–332 (2016)
Kishor, N., Villalva, M.G., Mohanty, S.R., Ruppert, E.: Modeling of PV module with consideration of environmental factors. In: IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe), pp. 1–5. IEEE (2010)
Adinoyi, M.J., Said, S.A.: Effect of dust accumulation on the power outputs of solar photovoltaic modules. Renew. Energy 60, 633–636 (2013)
Vaishak, S., Bhale, P.V.: Effect of dust deposition on performance characteristics of a refrigerant based photovoltaic/thermal system. Sustain. Energy Technol. Assess. 36, 100548 (2019)
Javed, W., Guo, B., Figgis, B.: Modeling of photovoltaic soiling loss as a function of environmental variables. Solar Energy 157, 397–407 (2017)
Laarabi, B., Tzuc, O.M., Dahlioui, D., Bassam, A., Flota-Bañuelos, M., Barhdadi, A.: Artificial neural network modeling and sensitivity analysis for soiling effects on photovoltaic panels in morocco. Superlattices Microstruct. 127, 139–150 (2019)
Hammad, B., Al-Abed, M., Al-Ghandoor, A., Al-Sardeah, A., Al-Bashir, A.: Modeling and analysis of dust and temperature effects on photovoltaic systems’ performance and optimal cleaning frequency: Jordan case study. Renew. Sustain. Energy Rev. 82, 2218–2234 (2018)
Rauschenbach, H.S.: Solar Cell Array Design Handbook: The Principles and Technology of Photovoltaic Energy Conversion. Springer Science & Business Media, New York (2012)
Salameh, Z.M., Borowy, B.S., Amin, A.R.: Photovoltaic module-site matching based on the capacity factors. IEEE Trans. Energy Convers. 10(2), 326–332 (1995)
Kumar, E.S., Sarkar, B., Behera, D.: Soiling and dust impact on the efficiency and the maximum power point in the photovoltaic modules. Int. J. Eng. Res. Technol. (IJERT) 2(2), 1–8 (2013)
Tripathi, A.K., Aruna, M., Murthy, C.S.: Output power loss of photovoltaic panel due to dust and temperature. Int. J. Renew. Energy Res. 7(1), 439–442 (2017)
V.M. Mermoud, A.: “Pvsyst.” https://www.pvsyst.com/help/
Acknowledgment
This work has been supported by FCT- Fundação para a Ciência e Tecnologia within the Project Scope: UIDB/05757/2020.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Pagani, V.H., Los, N.A., Maidana, W., Leitão, P., Casaro, M.M., Nascimento, C.B. (2021). Soiling Monitoring Modelling for Photovoltaic System. In: Gonçalves, J.A., Braz-César, M., Coelho, J.P. (eds) CONTROLO 2020. CONTROLO 2020. Lecture Notes in Electrical Engineering, vol 695. Springer, Cham. https://doi.org/10.1007/978-3-030-58653-9_57
Download citation
DOI: https://doi.org/10.1007/978-3-030-58653-9_57
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-58652-2
Online ISBN: 978-3-030-58653-9
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)