Next Generation Modelling and Forecasting of Variable Renewable Generation for Large-scale Integration in Energy Systems and Markets
Duration: November 2019 until April 2023
Funded by: Förderprogramm „Horizon 2020“ für Forschung und Innovation der Europäischen Union
Project Participants: ARMINES/Mines Paris Tech Institut für Vernetzte Energiesysteme Institut für Solarforschung INES TEC ICCS EDP CNET EMSYS Whiffle Météo France DTU DNV GL HEDNO DOWEL Management
Project Manager at the Institute of Networked Energy Systems: Jorge Lezaca
Project Description: The increasing integration of weather-dependent renewable energy sources is forcing the adaptation and improvement of Europe’s energy systems. The project Smart4RES will tackle these problems in the hopes of fundamentally improving the overall energy model and the value chain for the forecasting of renewable energy sources. The goal is to develop and evaluate tools that will enable a variety of aspects. This includes increasing the precision of RES (renewable energy sources) forecasting by at least 15% and improving the economic value of these forecasts by taking into account the entire chain from the forecast to the end user. The project is not aiming at incremental progress but rather a break-through in researching and practically implementing RES forecasting.
Within the project, researchers of the Institute of Networked Energy Systems are working on short-term forecasts utilising cloud cameras, satellites and numerical weather prediction. Combining these elements should enable high-resolution forecasts of solar irradiance as the basis for forecasting PV yields. The researchers are also working on calculation of the costs associated with generating the forecasts.
Further information on the research project Smart4RES: