MEDAILLON

In various studies concerning system analysis and planning of energy systems, power grids, renewable energy plants, operational management strategies and energy markets, weather model data are required as input for many simulation models. Consequently, the used data and their accuracy have a direct impact on the results, subsequent measures and energy development paths. Up to now different weather model data and processing methods have been used in many system analysis studies. This means that the results can only be interpreted to a limited extent because of the missing knowledge about the performance of the processed weather data. This gap of model transparency leads also to the fact that results of different studies cannot be compared easily. In addition, various studies and expert interviews have shown that the currently used model data has significant weaknesses from the user’s point of view.
The overarching goal of the project includes the creation of a new, user-friendly, open, optimized and high resolution meteorological data set for Germany and its establishment as a meteorological standard data set within system analysis and energy economy. The data should cover 15 years of time series with a resolution of 250 x 250 m and containing all parameters that are relevant for system analysis (wind, global radiation, temperature etc.). In addition, the aim is to provide information on the temporal and spatial uncertainty of the meteorological time series.
Early user involvement ensures that the data set is developed in accordance to user requirements. For the technical implementation, new approaches from the field of weather model reanalysis ensembles, but also the application of fluid mechanical, statistical and machine learning methods are used. At the end of the project, the new data set will be evaluated by experienced system analysts to demonstrate its performance and to analyze the sensitivity of system analysis issues with regard to weather model data.