Research project DEODE

Destination Earth On-Demand Extremes Digital Twin

Credit:

EU

Extreme weather conditions pose an ever greater societal, political and economic challenge. Particularly sectors such as flood protection, agriculture and healthcare are reliant on accurate forecasts in order to adapt their processes and avert risks. With the increase in extreme weather events due to climate change, this demand continues to grow. This is where the DEODE research project, funded by the European Commission, comes into play: Its goal is to develop a system capable of predicting extreme weather conditions on a sub-kilometre scale.

Research project DEODE

 

Duration

May 2024 to April 2026

Funded by

European Commission

Project participants

  • Institute of Networked Energy Systems
  • GeoSphere Austria
  • Météo-France
  • DMI – Danish Meteorological Institute
  • FMI – Finnish Meteorological Institute
  • SMHI – Swedish Meteorological & Hydrological Institute
  • Met Éireann (Ireland)
  • Met Norway
  • RMI – Royal Meteorological Institute (Belgium)
  • TalTech – Tallinn University of Technology (Estonia)

Within the framework of the DEODE project, the consortium is working on the creation of digital twins of Earth with demand configurations for the prediction of extreme weather on a sub-kilometre scale. Here, a demand-oriented workflow with co-design of high-resolution forecasts for extreme weather events is established that provides decision support for relevant industries. The model system is based on both physical and data-driven processes and operates on the EuroHPC high-performance computing platform. Future developments in collaboration with end users are planned, with pilot tests of near-real-time extreme events being conducted.

The Institute of Networked Energy Systems contributes to DEODE through the development of procedures that anticipates critical situations in the power system caused by extreme weather events. At the beginning of the project, participants from the energy industry were surveyed to identify the most difficult weather and grid situations and to develop corresponding prediction indicators. Particularly factors such as high electricity exchange prices and grid bottlenecks received special attention. Based on this, the Institute is now developing a method to estimate from load flow simulations of the power system whether there will be particularly high electricity exchange prices or whether grid bottlenecks will occur. The ProPower tool (Probabilistic Power Forecast Evaluation) developed by DLR is used for operational planning and load flow simulations in the power system.

Departments, research groups and challenges related to the DEODE project:

Department

Energy Systems Analysis

The Energy Systems Analysis department generates system-analytical knowledge, which we provide across sectors up to the global level and based in part on methods and modelling tools developed in-house.

Research Group

Energy Meteorology

In the Energy Meteorology research group, we analyse how various observation systems and numerical models can be methodically optimised. We operate our own measurement networks for ground- and satellite-based collection of energy meteorological data to provide optimal information for the energy supply.

Challenge

Balancing energy supply and demand

The simultaneity of electricity generation and consumption is the basis for a stable energy system. While fossil and nuclear power plants have so far been deployed according to demand, the dominant renewable energies in the electricity system are heavily dependent on weather - and therefore not available at any given time.

Contact

Energy Meteorology

Research Group
Institute of Networked Energy Systems