| Title | Presenter |
|---|---|
| Use of multibody system simulation models to investigate load distribution in gearboxes of wind turbines | Thomas ROSENLÖCHER, TU Dresden |
| Optimization and Identification of Parameters in Simpack Models using Isight | Valentin KEPPLER, CENIT AG |
| Greybox Virtual Sensors: Combining Physics and Data for Online Loads Estimation of Wind Turbine Drivetrains | Stefan HAUPTMANN, MesH Engineering GmbH |
Use of multibody system simulation models to investigate load distribution in gearboxes of wind turbines
The design process of drive trains requires precise knowledge of the occurring nominal and maximum loads during operation on the respective component to be designed. In addition, in many applications, it is necessary to have a comprehensive understanding of the dynamic behavior of the overall system in order to avoid resonances. By means of detailed multibody system simulation models, it is possible to perform comprehensive investigations in the frequency and time domain to determine loads and critical operating ranges. Using the simulation model of a 15 MW wind turbine as an example, the possibilities for the design of planetary gear stages with a focus on the load distribution in the gear mesh will be presented and the influence of the level of detail on the results will be evaluated. Starting from the underlying 15 MW baseline model of NREL, the model structure will be described, investigations in the frequency range for different modeling depths will be presented, the necessary gear modifications, as well as design boundary conditions for improving the load distribution, will be discussed and finally, possible modeling strategies will be derived.
Presenter: Thomas ROSENLÖCHER, TU Dresden
| Replay | Slide deck |
|---|---|
Optimization and Identification of Parameters in Simpack Models using Isight
The high degree of abstraction of the multi-body system simulation is often accompanied by the fact that such models have many parameters that either have to be identified using test data or have to be optimized with regard to the required performance criteria. Although MBS models usually only require relatively short iteration times, it is cumbersome and error-prone to carry out such parameter studies by hand. In this presentation, the use of Isight and Simpack on a human model with a large number of parameters for carrying out automated parameter studies is shown as an example.
Presenter: Valentin KEPPLER, CENIT AG
| Replay | Slide deck |
|---|---|
Greybox Virtual Sensors: Combining Physics and Data for Online Loads Estimation of Wind Turbine Drivetrains
Since the beginning of 2021, the e-Twins project, which is partly funded by the German government, has been studying how digital twin technology can benefit the energy system. The project has one focus on wind turbine drivetrains as part of the energy system, and has developed a virtual sensor concept that can estimate the load on the bearings using both physical models and data analysis. The presentation will explain how this virtual sensor works and show how neural networks can be used to improve its accuracy compared to physical modeling.
Presenter: Stefan HAUPTMANN, MesH Engineering GmbH
| Replay | Slide deck |
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