Digital twins are vital in managing wind farm operations by enabling early issue detection and providing insights into performance through data and AI. They optimize efficiency, minimize downtime, and monitor turbine performance in real-time. Wind turbine inspections focus on critical components such as gearboxes and blades, with AI predicting failures. Using IoT, AI, and machine learning, data from sensors is processed, helping with predictive maintenance. A reference architecture on the Azure platform supports the integration, allowing real-time analysis via dashboards for efficient turbine management. This solution helps maintain operational efficiency and cost-effectiveness in wind farms.

Join for free to read