Inter-Wind
Inter-Wind Investigation of the situation before and after the construction of the research wind turbines at the WINSENT test site Tegelberg and Lauterstein in the Swabian Alb. Goals Derivation of…
Inter-Wind Investigation of the situation before and after the construction of the research wind turbines at the WINSENT test site Tegelberg and Lauterstein in the Swabian Alb. Goals Derivation of…
IndiAnaWind Interdisciplinary analysis and optimization of wind turbines and their components Goals Aerodynamic and aeroacoustic flow simulation of high-resolution wind turbines under real conditionsMultidisciplinary numerical imaging Contact Publications Bangga G.,…
Ubert Goals Investigation of the helical vortex system of the leaf tip vortices with regard to vortex stability Influence of vortex decay with the help of short- and long-wave disturbances…
Meridional Multiscale modelling for wind farm design, performance assessment and loading Goals Improvement of the current state of knowledge on turbulent inflow conditions for wind turbinesDevelopment of a comprehensive tool…
IM Wind Development of a sensor-based intelligent monitoring system for wind turbines Goals Monitoring systems help to ensure the cost-effective operation of wind turbines over a service life of 20…
Pragmatic Wind Modeling Intelligent selection of wind models for complex terrain in Germany and Switzerland One of the first steps in predicting the performance of a wind farm is to model…
The ParkCast project aims to develop, optimize and evaluate new methods for short term forecasts of the performance of offshore wind farms. The power forecasts focus on the time range up to 60 minutes with high temporal resolution. The aim is to significantly improve the temporal resolution and forecasting quality of the parking performance in the above-mentioned time period and thus make a contribution to grid stability and supply security. To this end, long-range lidar measurement data are assimilated into a high-resolution, local weather model using new methods based on machine learning (ML). Physical and advanced ML-based prediction models are then used for the power prediction and validated in real time for the alpha ventus offshore wind farm as part of an online test phase.
VORKAST Optimisation of design and operational management for hybrid power plants and energy storage technologies by means of wind and PV power nowcasting Goals News Publications Goals Nowcasting…
WINSENT AND WINSENT-BW: Developing a wind energy test facility in complex terrain Goals The WINSENT project is divided into three sub-projects:The detailed characterization of the research facility's micro climate and meteorology,The…
WIPAFF - Wind Park Far Field Goals News Publications Goals The overarching project aims at delivering a contribution to reliable planning of offshore wind parks by analysing the impact of…