Provide and Develop an Automatic Cleaning Method for Photovoltaic Panels for a 20kW Power Plant in Zabol

Document Type : Original Article

Authors

1 Master of Electrical Engineering, Department Electrical Engineering, Islamic Azad University- Zahedan Branch, Zahedan, Iran

2 Assistant Professor, Department Electrical Engineering, Islamic Azad University- Zahedan Branch, Zahedan, Iran

10.52547/jrenew.10.2.90

Abstract

Given the global price of oil and the constraints on energy production from fossil fuels, the use of clean and renewable energy has attracted much attention recently. Among renewable energy sources, energy generation by photovoltaic systems is a very attractive option for energy production due to unlimited solar energy and radiation potential. Photovoltaic systems are usually installed in arid and semi-arid areas, and these areas face the problem of dust deposition. This issue becomes important when studies show that photovoltaic systems are strongly influenced by natural factors, and these natural factors have an impressive impact on the performance and efficiency of these systems. To maintain the efficiency of photovoltaic systems, it is necessary to remove dust and choose an appropriate cleaning method. In this study, some of the purification methods studied have their characteristics and disadvantages identified. Also, in this study, an automated method called automatic water purification method according to the studies performed, will bring promising results. The proposed method for a 20kW power plant belonging to Zabol University will also be reviewed. Models for the application of this method in agriculture were studied and the studied model makes the use of photovoltaic systems in agriculture more attractive. This study can give a good indication to the users of small and medium power plants to choose the best Cleaning method.

Keywords

Main Subjects

References

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Journal of Renewable and New Energy
Volume 10, Issue 2 - Serial Number 20
September 2023
Pages 90-104

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History

  • Receive Date: 19 April 2022
  • Revise Date: 10 July 2022
  • Accept Date: 25 February 2023

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