I am pleased to share my presentation held at the 5th Wind & Drivetrain Conference on April 6–7, 2022, and at the EuroCentral Regional User Meeting in Hanau, May 3–7, 2022. Please see below for the PDF slides and a live recording of my presentation.
Abstract
Since the beginning of 2021, the e-Twins joint project, which is co-funded by the German government, has been researching the benefits of holistic digital twin technology for the energy system. The energy system is considered at different levels: Grid level, plant level, system level, and component level. For these studied levels, different approaches have been developed to digitally represent the corresponding physical assets in a series of scenarios. These digital twins can be based on analytical approaches or reduced-order models (ROM) using machine learning methods.
As part of the energy system at the component level, wind turbine drivetrains are also described as digital twins. In addition to the methods described above, multibody systems can also be used to develop such a digital twin. This can be used as a virtual sensor to provide insight into the internal state of the powertrain, but its use within model predictive control will also be discussed.
The presentation will cover the various ways to develop a digital twin, focusing on wind turbine drivetrains and the realized representation through a multibody system model. The digital twin will then be shown in a multi-level scenario that also includes a newly developed software platform for visualizing the current state of the power system.
Presentation
Live Recording from the 5th Wind & Drivetrain Conference 2022
Presenter Bio
@SH works at MesH Engineering. In his current role Stefan leads the Wind Energy department, solving tasks for various customers in structural dynamics, aerodynamics, and the aeroelasticity of wind turbines and their drive trains.
Stefan graduated from the University of Stuttgart in 2006 with a degree in Aerospace Engineering. During his diploma thesis, he developed the coupling of the wind energy aerodynamics module AeroDyn to Simpack. Afterward, Stefan did research for another six years at the University of Stuttgart in the field of aeroelasticity of wind turbines, also using the software Simpack. In 2013, he joined MesH Engineering GmbH, where he and his team solve tasks for various customers in structural dynamics, aerodynamics, and the aeroelasticity of wind turbines and their drive trains.
Stefan is as well a member of the SIMULA Champions program.
Please feel free to use the comments section below to ask any questions you may have or start a discussion with your peers.
Topic-related hashtags:
RUM2022 RUM2022-EuroCentral Simpack Multibody Dynamics Multibody Simulation Motion Multibody System Simulation Wind Turbine Dynamics Wind Turbines Drivetrain Wind Turbine Engineering SIMULIA Champion
