研究目的
To develop an Internet of Things based remote real-time energy monitoring system for solar power generation to improve efficiency and identify anomalies affecting solar panel operation.
研究成果
The developed IoT-based monitoring system allows for efficient remote monitoring of solar panels with minimal error, proving to be better than conventional monitoring systems. Future work includes adding controlling features for solar panel voltage, current, and power based on consumption.
研究不足
The system has a small tolerance error in data monitored online compared to actual PV simulator data, which can be compensated.
1:Experimental Design and Method Selection:
The system integrates various current and voltage sensors with a microcontroller for data aggregation and uses an IoT analytics platform for data visualization and energy evaluation.
2:Sample Selection and Data Sources:
An 80 watts solar panel operated at standard test conditions is used.
3:List of Experimental Equipment and Materials:
Arduino Uno, Voltage Sensor (0-25 volts), Current Sensor (ACS712) (0-20A), Wifi Module (ESP8266).
4:6). Experimental Procedures and Operational Workflow:
4. Experimental Procedures and Operational Workflow: The system measures PV panel V, I, P using sensors and Arduino, sends data to the IoT cloud via Wi-Fi module, and compares results with actual PV simulator data.
5:Data Analysis Methods:
The data is analyzed for efficiency and error comparison between online monitored and actual PV simulator data.
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