Speaker
Description
The on-demand Extremes Digital Twin Renewables models, developed by the Destination Earth team, provide a configurable workflow linking the detection of adverse weather, hectometric and sub-hourly NWP simulations, and impact models for wind and solar energy. Targeted forecasts of renewable energy production under extreme conditions are generated through dynamic triggering based on meteorological detection algorithms. For wind and solar energy, post-processing combines NWP data (including a wind-farm parametrization) with machine-learning methods to refine the power output predictions, while satellite-driven nowcasting of global radiation complements the forecasts. Together, these components enhance the forecasting precision, uncertainty quantification, and user-tailored information to support grid operators, TSOs, DSOs, and energy traders in operational decision-making during extreme events.
