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Mathematical modelling of a system for solar PV efficiency improvement using compressed air for panel cleaning and cooling

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King, Marcus, Li, Dacheng, Dooner, Mark, Ghosh, Saikat, Roy, Jatindra Nath, Chakraborty, Chandan and Wang, Jihong (2021) Mathematical modelling of a system for solar PV efficiency improvement using compressed air for panel cleaning and cooling. Energies, 14 (14). 4072. doi:10.3390/en14144072

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Official URL: https://doi.org/10.3390/en14144072

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Abstract

The efficiency of solar photovoltaic (PV) panels is greatly reduced by panel soiling and high temperatures. A mechanism for eliminating both of these sources of inefficiencies is presented by integrating solar PV generation with a compressed air system. High-pressure air can be stored and used to blow over the surface of PV panels, removing present dust and cooling the panels, increasing output power. A full-system mathematical model of the proposed system is presented, comprised of compressed air generation and storage, panel temperature, panel cleaning, and PV power generation. Simulation results indicate the benefit of employing compressed air for cleaning and cooling solar PV panels. For a fixed volume of compressed air, it is advantageous to blow air over the panels early in the day if the panel is soiled or when solar radiation is most abundant with the highest achievable flow rate if the panel is clean. These strategies have been shown to achieve the greatest energy captures for a single PV panel. When comparing the energy for air compression to the energy gain from cleaning a single PV over a two-week period, an energy ROI of 23.8 is determined. The system has the potential to eliminate the requirement for additional manual cleaning of solar PV panels.

Item Type: Journal Article
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Science > WMG (Formerly the Warwick Manufacturing Group)
Library of Congress Subject Headings (LCSH): Photovoltaic power systems -- Mathematical models, Renewable energy sources, Compressed air -- Mathematical models
Journal or Publication Title: Energies
Publisher: M.D.P.I.A.G.
ISSN: 1996-1073
Official Date: 6 July 2021
Dates:
DateEvent
6 July 2021Published
1 July 2021Accepted
Volume: 14
Number: 14
Article Number: 4072
DOI: 10.3390/en14144072
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
EP/P003605/1Research Councils UKhttp://dx.doi.org/10.13039/501100000690
UNSPECIFIEDGlobal Challenges Research Fundhttp://viaf.org/viaf/15158307073406402521
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