What you will learn?
Monitoring systems continuously grant higher-level insight into the performance of the PV plant but can't provide the information to easily detect root causes and the exact location of a fault in the PV plant.
Aerial infrared (IR) inspections can identify many anomalies at cell-level scales but lack insight into the fault's effect on energy production. Additionally, both methods typically require a manual setup of the digital twin to extract in-depth, actionable insights.
In the Analyst PV research project, several industry-leading partners joined forces to remedy these problems. Join us on a journey through our research towards the PV plant management of the future.
Learn more about:
- Combining monitor system outputs with aerial infrared inspections in an accurate digital twin to help identify performance issues.
- Automatically configuring your digital twin to reduce setup time and misconfiguration issues.
- State-of-the-art Artificial Intelligence (AI) to increase the efficiency and accuracy of fault detection and its impact on energy production.
- The business case behind remedial actions for PV plants with different types of operational contracts.
