Presentation Description: The way we monitor wind farms nowadays is limited by the available data and its quality. SCADA data gives a correct overall information on how the wind turbine is operating but by its low time resolution, precision, and availability it is not possible to have a continuous and reliable monitoring of operating wind turbines. In this abstract, a new approach is presented that is based on the combination of IoT sensing devices that are installed on the wind turbines and computing based on cloud servers. High frequency data is acquired and transmitted from the wind turbine to the cloud servers where data analysis algorithms quantify the overall performance and identify potential improvements on the operation of the equipped wind turbines by detecting yaw static misalignments and rotor imbalances for example. The results are made available in real-time through an online dashboard to allow the wind farm owners, operators and maintenance teams to access the information and decide the best strategy for their maintenance schedule. This end-to-end solution was applied to over 300 operating wind turbines allowing the definition of multiple axes of optimisation increasing the AEP of wind turbines of up to 5%. The main results and statistics will be presented during the presentation.
Methodology:
Learning Objectives:
Delegates will learn about a new cost-effective solution to monitor operating wind turbines that provides a broad and independent view on how the wind farms are operating and that allows wind farm owners and operators a deeper and real-time monitoring of their assets.
