IoT technology collects a variety of specific data from solar panels to predict potential failures. This data includes:
- Panel Temperature: High temperatures can reduce efficiency and longevity of solar panels.
- Voltage and Current Outputs: Monitoring these parameters helps in identifying issues such as improper connections or panel damage.
- Environmental Conditions: Factors like weather, humidity, and dust accumulation can affect solar panel performance.
- Power Output Patterns: Changes in power output can indicate micro-cracks, soiling, or other issues.
- Inverter Performance: Data on inverter efficiency and operation helps in diagnosing issues that might affect overall system performance.
By continuously analyzing these real-time data points, IoT systems can detect potential problems before they become costly repairs, thereby improving system reliability and reducing maintenance costs.
Original article by NenPower, If reposted, please credit the source: https://nenpower.com/blog/what-specific-data-does-iot-collect-to-predict-solar-panel-failures/
