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IJSTR >> Volume 9 - Issue 10, October 2020 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

Real Time Online Monitoring Of Solar Power Plants Voltage, Current, Power, And Efficiency To Smartphone, Web, And Email

[Full Text]



Albert Gunadhi, Diana Lestariningsih, David Leo Budi Teguh



Solar panel, voltage sensor, current sensor, Raspberry Pi 3, GUI, ThingSpeak, battery.



Solar Power Plants is a generator that utilizes solar energy to produce electricity. However, the solar power plants needs to be improved optimization in the measurement of electrical quantities on power and efficiency that is still done with a multimeter and manual calculations. Measuring the solar power plants electricity needs to be done regularly so that every condition can be monitored properly. One effective and efficient way to overcome this is to use a realtime measurement system. This tool has a voltage sensor to read the voltage value of solar panel and a current sensor to read the current generated by solar panel. The Raspberry Pi 3 microcontroller is used as the main processor to get the value of solar panel electrical power and absorption efficiency from the processing of voltage and current values. The solar panel is used as a source of electrical energy from sunlight stored in batteries. This tool also has a touch screen display connected to Raspberry Pi 3 to display solar panel data (voltage, current, power, and absorption efficiency) in numeric form and manage measurement data (intervals and data quantity) based on GUI (Graphical User Interfaces). The measurements of voltage, current, electric power, and the efficiency of solar panel yield an average error below 4%. The results of measurement data monitoring are displayed in graphical form through ThingSpeak cloud server that can be accessed via a smartphone and PC (Personal Computer). The measurement data also sent to the recipient's email in the form of CSV file so that the data can be viewed in tabular form through Microsoft Excel.



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