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  Published Paper Details:

  Paper Title

CONCEPTION AND DEVELOPMENT OF SELF CLEANING ROBOT FOR SOLAR PANEL

  Authors

  N.Sarveswaran,  M.Indhu,  A.Jorexsana,  R.Keerthana

  Keywords

Arduino, Brush, DC Motor, Dust Effects, Power Source, Solar Panel

  Abstract


As a result of the threat of climatic change and global warming to our planet's future, it has become critical to meet our energy needs for the next generation. Solar energy, which is one of the renewable energy sources, has an important role in meeting the increasing electrical energy demand of our goals. Solar panels are one of the most cost effective and low maintenance means of generating electricity because they did not have any moving parts. Current solar panels setups take a major power loss when unwanted obstructions cover the surface of the panels. So far, cleaning of solar and photovoltaic surfaces caused major difficulties to many solar panel operators and its installation cost is high. A water free solar panel cleaning robot is on its way to keep the entire system clean and efficient. The system consists of cleaning brushes rather than water. First an IR sensor sense the dust level by examining how much frequency level of dust is present on the solar panel. The complete system is already programmed into the Arduino Uno. The dust level will be displayed on the blynk app once the dust reaches the certain level; it will automatically start to clean the panel. After the solar panel has been cleaned, the voltage and current values of the solar panel are saved in the blynk app in the Android mobile. With the help of IOT the mechanical setup and blynk app are connected via Wi-Fi module. The panels are cleaned on a regular basis, and the mechanical arrangement has no effect on the solar panel's quality. When compared to the standard setup, we can boost the efficiency by up to 30% with this design. As a result of the threat of climatic change and global warming to our planet's future, it has become critical to meet our energy needs for the next generation. Solar energy, which is one of the renewable energy sources, has an important role in meeting the increasing electrical energy demand of our goals. Solar panels are one of the most cost effective and low maintenance means of generating electricity because they did not have any moving parts. Current solar panels setups take a major power loss when unwanted obstructions cover the surface of the panels. So far, cleaning of solar and photovoltaic surfaces caused major difficulties to many solar panel operators and its installation cost is high. A water free solar panel cleaning robot is on its way to keep the entire system clean and efficient. The system consists of cleaning brushes rather than water. First an IR sensor sense the dust level by examining how much frequency level of dust is present on the solar panel. The complete system is already programmed into the Arduino Uno. The dust level will be displayed on the blynk app once the dust reaches the certain level; it will automatically start to clean the panel. After the solar panel has been cleaned, the voltage and current values of the solar panel are saved in the blynk app in the Android mobile. With the help of IOT the mechanical setup and blynk app are connected via Wi-Fi module. The panels are cleaned on a regular basis, and the mechanical arrangement has no effect on the solar panel's quality. When compared to the standard setup, we can boost the efficiency by up to 30% with this design.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT22A6280

  Paper ID - 221412

  Page Number(s) - c374-c377

  Pubished in - Volume 10 | Issue 6 | June 2022

  DOI (Digital Object Identifier) -    http://doi.one/10.1729/Journal.30604

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  N.Sarveswaran,  M.Indhu,  A.Jorexsana,  R.Keerthana,   "CONCEPTION AND DEVELOPMENT OF SELF CLEANING ROBOT FOR SOLAR PANEL", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 6, pp.c374-c377, June 2022, Available at :http://www.ijcrt.org/papers/IJCRT22A6280.pdf

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ISSN: 2320-2882
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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
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