The influence of weather changes on the cleanliness of solar panel surfaces is a problem that must be faced at this time. One of the factors that can affect the output value of roof photovoltaic efficiency is the level of dust density found on the photovoltaic surface. Solutions that can be used as a panel surface cleaner can use an automatic cleaning system to overcome the amount of dust on the photovoltaic surface. The method used in this study uses the Arduino Amega328p component, GP2Y1010AU0F sensor, Arduino drive, and real-time testing. There is a dust sensor and a voltage sensor to determine the amount of dust density on the photovoltaic surface, while the voltage sensor can be used as a reader of the voltage output on the photovoltaic. This research aims to help humans work in cleaning rooftop solar panels and create a system for detecting the thickness of dust and dust cleaners to increase the efficiency value of solar panels from solar radiation absorbed on the surface. The results of the PWM research with a duty cycle of 100% Vout 11.72 Volts, Dust Density of 0.54 mg/m3 produce analog data of 3.75 Volts and an ADC value of 767. Meanwhile, an analog sensor value is obtained for a dust density of 0.41 mg/m3d. of 3.02 Volts, logic 1 and the cleaning actuator ON position. Surface conditions and abnormal conditions are dusty at 0.54 mg/m3 for photovoltaic sensors at 9.13. The resulting efficiency when the photovoltaic surface is clean is 55%-80%.
Copyrights © 2023