MATLAB and Simulink Seminars

Virtual commissioning for Wind Farms using Hybrid models: A digitization approach

Event Type Start Time End Time
Webex 1 Dec 2021 - 1:00 PM CDT 1 Dec 2021 - 2:00 PM CDT


Digital twin is a virtual and digital representation of a physical entity or system. It involves connected “things” generating real-time data. That data is analyzed in the cloud, and combined with other data related to the context around it. It can be then presented to operators and maintainers in a variety of roles, so they can remotely understand asset condition, history, etc..

Wind turbines are complex with respect to technology and operations that is why, a viable solution is to apply intelligent computerized systems, such as computerized control systems, or advanced monitoring and diagnostic systems. Indeed the huge amount of information provided by wind farms convert this type of asset in the perfect candidates for digitization and deployment of digital twins.

However the digital twin must be complemented besides the captured information in order to assess the overall condition of the whole fleet/system including the one from design and manufacturing which obviously contains the physical knowledge. 

Therefore the integration of asset information during the entire lifecycle is required to get an accurate health assessment of the whole system, and determine the probability of a shutdown or slowdown avoiding black swans and other unexpected or unknown asset behaviors. Moreover, the lack of data on advanced degraded states due to early replacements makes the data-driven approach vulnerable to such situations. These hybrid models are expected to be shortly integrated as a part of the digitization in the digital twins created as digital mirrors of wind farms all over the world.

This talk will show the digital twins technologies for wind farms including hybrid models applying the maintenance analytics concept by the means of virtualization i.e virtual commissioning of the assets through data fusion and integration from a systems perspective.

About the Presenter

Dr. Diego Galar Pascual, Head of Maintenance & Reliability

Dr. Diego Galar is Full Professor of Condition Monitoring in the Division of Operation and Maintenance Engineering at LTU, Luleå University of Technology where he is coordinating several H2020 projects related to different aspects of cyber physical systems, Industry 4.0, IoT or Industrial AI and Big Data. He was also involved in the SKF UTC centre located in Lulea focused on SMART bearings and also actively involved in national projects with the Swedish industry or funded by Swedish national agencies like Vinnova. 

He is also principal researcher in Tecnalia (Spain), heading the Maintenance and Reliability research group within the Division of Industry and Transport.

He has authored more than five hundred journal and conference papers, books and technical reports in the field of maintenance, working also as member of editorial boards, scientific committees and chairing international journals and conferences and actively participating in national and international committees for standardization and R&D in the topics of reliability and maintenance. 

In the international arena, he has been visiting Professor in the Polytechnic of Braganza (Portugal), University of Valencia and NIU (USA) and the Universidad Pontificia Católica de Chile. Currently, he is visiting professor in University of Sunderland (UK), University of Maryland (USA), and Chongqing University in China.


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