| KEYWORD |
Implementation of a Wind Turbine Digital Twin
Reference persons BARTOLOMEO MONTRUCCHIO
Description Horizontal Axis Wind turbines are commercial variable Renewable Energy Sources (v-RES) with high utilisation in the current energy mix. Inside them, Supervisory Control And Data Acquisition (SCADA) systems are used to monitor and collect both components and environmental data.
Exploratory data analytics and automated machine learning (ML) models can leverage previously unused information to evaluate performance in real-time and discover new patterns.
The aim of the thesis is therefore to use these data to create a Digital Twin of a wind turbine capable of simulating its ideal behavior starting from environmental data. This will be useful to compare its output values with those of a real wind turbine to track and capture deviations from normal expected behavior.
The thesis can be carried out in presence at Sirius s.r.l. or in mixed mode. Basics of Python and machine learning are not required but are still strongly recommended.
For more information, please contact Bartolomeo Montrucchio and Antonio Marceddu at the following emails:
bartolomeo.montrucchio@polito.it
antonio.marceddu@polito.it
Deadline 31/07/2023
PROPONI LA TUA CANDIDATURA