Abstract
Dust accumulation or soiling is a major challenge faced by the solar farm which are in the desert areas where the solar resource is available in plenty. Dust can be classified as any particles on the panels which blocks the sun's irradiance from reaching the solar cell. Soling is more prominent in solar farm which are placed in non-arid environment (Desert Regions). The performance of the Photovoltaic Systems is greatly affected by dust accumulation or soiling. Current methods used in the markets are costly, labour based, involves periodic battery replacement, more water usage, immense mechanical components and requires cyclic maintenance. This paper presents a low cost, energy efficient, smart dust cleaning technology for PV Panels, which shall mitigate the local climatic challenges in solar farm. The cleaning system is designed, automated using Programmable Logic Controller (ILC 131 ETH) which controls the devices used in the cleaning system and tested successfully. Particularly, the proposed solar cleaning system is expected to enhance the system efficiency of the Solar panels in the United Arab Emirates (UAE) and other Gulf Cooperation Council (GCC) countries which have climatic conditions of dusty weather conditions.
Original language | English |
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Title of host publication | 2018 International Conference on Smart Grid and Clean Energy Technologies (ICSGCE) |
Publisher | IEEE |
Pages | 125-129 |
Number of pages | 5 |
ISBN (Electronic) | 9781538667965 |
DOIs | |
Publication status | Published - 6 Dec 2018 |
Event | 7th International Conference on Smart Grid and Clean Energy Technologies 2018 - Kajang, Malaysia Duration: 29 May 2018 → 1 Jun 2018 |
Conference
Conference | 7th International Conference on Smart Grid and Clean Energy Technologies 2018 |
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Abbreviated title | ICSGCE 2018 |
Country/Territory | Malaysia |
City | Kajang |
Period | 29/05/18 → 1/06/18 |
Keywords
- dust accumulation
- human machine interface (HMI)
- nozzle
- Programmable Logic Controller (PLC)
- soiling
ASJC Scopus subject areas
- Artificial Intelligence
- Information Systems and Management
- Energy Engineering and Power Technology
- Renewable Energy, Sustainability and the Environment
- Control and Optimization
- Hardware and Architecture