Project: Power Generation from variable renewable energies
Participating Centers: UFZ, DLR
Contacts: D. Thrän, C. Agert, Y. Scholz, R. Lehneis
Renewable energies are subject to weather- and climate-induced changes. For the energy supply by ground-based, variable renewable energies (VRE), comprehensive information on the effects of extreme weather events on the power supply is need. The cooperation of UFZ and DLR in Project 9 is able to provide these. DLR will furthermore analyze the influence of weather on energy demand and its changes related to climate change and extreme events.
An important prerequisite for this project is high-resolution weather data for the study areas, which is, if necessary, supplemented by exemplary data from previous extreme weather events, like hailstorms or long periods of doldrums. UFZ develops simulation models with high technological detail to calculate hourly (or higher) electricity feed-in from VRE up to community level, using plant and weather data. Additionally, UFZ has detailed master data for onshore wind turbines and photovoltaic plants of any desired region in Germany. In Project 9, these models and datasets will be adapted for estimating the effects of extreme events on the power generation from VRE.
Instead of feed-in data for Germany, DLR’s Energy Data Analysis Tool „EnDAT“ calculates future VRE potentials for whole Europe. It therefore has less technological detail than the UFZ models. In Project 9, the EnDAT potential analyses will be calibrated using UFZ feed-in time series for a past time period. In addition, high resolution analyses of power, heat and cooling demand in EnDAT allow quantifying effects of climate change and extreme weather events on energy demand in Germany and Europe. Project 9 collaborates with the scenario analysis of Project 1 (cluster Mitigation): Annual power demand and technology data for VRE potential analyses can be obtained from there, feed-in maps and information on full/peak load hours can be provided. The results and conclusions from Project 9 will also be usable in integrated energy system modelling and for research topics of social sciences so that they can be also connected to socio-political discussions.