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.
Is this webinar for you?
We talk in particular to:
Operations & Maintenance
Product Manager Sitemark
Postdoctoral researcher IPI, imec research group at Ghent University