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- W3153122912 abstract "The need for renewable sources of energy is increasing day by day. Out of these sources, the solar energy of the sun is one of the most promising sources as it is abundantly available. However, harvesting solar energy has its own problems. The energy density per unit area reaching earth at ground level is less. Further, PV cells can absorb up to 80% of incident solar radiation from the solar band but, only a small amount of absorbed incident energy is transformed into electricity depending on the conversion efficiency of the PV cells. This is further reduced when the panels get dirty due to dust deposition. From our observations, the efficiency drops by about 7% in 23 days. In large solar farms, a huge amount of energy loss is incurred due to dirty panels and at the same time, a huge amount of water is spent on cleaning. Hence, an efficient and automated cleaning system that knows exactly when the panels need cleaning, needs to be developed. We have thus developed an automated cleaning system using the comparative algorithm for cleaning and the Arduino for the automation of the same" @default.
- W3153122912 created "2021-04-26" @default.
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- W3153122912 date "2020-10-18" @default.
- W3153122912 modified "2023-09-27" @default.
- W3153122912 title "Automated Cleaning of PV Panels Using the Comparative Algorithm and Arduino" @default.
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- W3153122912 doi "https://doi.org/10.1007/978-981-15-5955-6_81" @default.
- W3153122912 hasPublicationYear "2020" @default.
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