Solar and sand: Dust deposit mitigation in the desert for PV arrays

Kennedy, Joel ORCID: https://orcid.org/0000-0002-6489-0845 and Lo, Assane and Rajamani, Haile-Selassie and Lutfi, Saad (2021) Solar and sand: Dust deposit mitigation in the desert for PV arrays. Sustainable Energy, Grids and Networks, 28:100531. pp. 1-7.


Abstract

Solar photovoltaic installations have now become a common sight across the globe. However, in places with a high level of dust, the panels have not performed as expected. The dust deposition acts to reduce the effective light that the solar cells receive thus reducing the output. As such, cleaning regimes are instituted to improve the performance of the panels. The more often the cleaning, the better the performance, but this could likely imply more energy is used for cleaning and the improvement may not be sufficient. In this paper, we develop a model to forecast the output power with respect to variables of cleaning, wind, humidity and temperature. The result shows that it is possible to develop a model to optimise cleaning regimes taking into account meteorological factors. One has to consider the impact of wind, which was found to be positively correlated with photovoltaic power output.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Files associated with this item cannot be displayed due to copyright restrictions.
Faculty/School / Institute/Centre: Historic - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering (1 Jul 2013 - 31 Dec 2021)
Faculty/School / Institute/Centre: Historic - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering (1 Jul 2013 - 31 Dec 2021)
Date Deposited: 20 Apr 2022 02:22
Last Modified: 11 May 2022 01:32
Uncontrolled Keywords: Photovoltaics; Solar panel cleaning; Solar panel modelling
Fields of Research (2020): 40 ENGINEERING > 4008 Electrical engineering > 400808 Photovoltaic power systems
Identification Number or DOI: https://doi.org/10.1016/j.segan.2021.100531
URI: http://eprints.usq.edu.au/id/eprint/44785

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