Research Projects

Uncertainty

• Well-founded meta-modeling of wind turbines as an example of stochastic, controlled structures (MetaWind)

  Smart systems, which mostly come from the field of communication technology and consist of a combination of networked, controllable, sensory and intelligent subsystems, have been omnipresent in media in recent years. Smart systems have actually been around for years in a wide variety of engineering fields. In civil engineering, an example are wind turbines with networked elements of measurement and control technology. For an economical and reliable design of these systems, their simulation is necessary. Due to the non-linear, stochastic, and controlled behaviour of such systems, the required computing time can be uneconomically high. In this case, substitute models, so-called meta-models, can be used to approximate the system behaviour. Although meta-models are already widely used today, their accuracy and efficiency are limited so far. Comprehensive analyses for complex systems are scarce. Therefore, MetaWind addresses this research gap and develops well-founded meta-models for wind turbines based on a comprehensive comparison of different variants.

  Led by: Dr.-Ing. Clemens Hübler

  Team: Franziska Müller, M.Sc.

  Year: 2019

  Funding: Leibniz Young Investigator Grant (LUH)

  Duration: 2019- 2021

  © ISD
• Transdisciplinary end-of-life analysis of wind turbines for the development of technically and economically optimal end-of-funding strategies (TransWind)

  Wind energy is an important pillar for achieving the energy transition in Germany. Electricity generation costs are still high in relation to market compensation, so that there is a need for development. Hence, the end-of-life topic of wind turbines - i.e. the analysis and design of the period after the end of the funding by the “Erneuerbare Energien Gesetzes” (EEG) or after the design lifetime has been exceeded – is currently of particular interest. To develop technically and economically sustainable strategies for post-EEG wind turbines, a joint and at least partly coupled consideration of different aspects of structural dynamics, logistics, spatial planning, and economics is indispensable. For example, it only makes sense to analyse the economic feasibility of continued operation by retrofitting if this is also technically possible. Therefore, within TransWind project, a probabilistic, structural-dynamic model of a wind turbine will be combined with site-specific wind simulations, spatial planning tools and economic analyses in an integrated modelling approach. To enable the automated application of this transdisciplinary approach, the modelling approach will be implemented in a software solution, and thus, takes advantage of the increasing digitalisation of the energy industry. The focus of the ISD is on the structural-dynamic, probabilistic lifetime calculations.

  Led by: Dr.-Ing. Clemens Hübler, Prof. Dr-Ing. habil. Raimund Rolfes

  Team: Franziska Müller, M.Sc.

  Year: 2020

  Funding: Federal Ministry for Economic Affairs and Energy - FKZ 03EE3029A

  Duration: 01.11.2020 – 31.10.2023

  © WIV GmbH