Description du projet
Appliquer la science des données à la prévision des énergies renouvelables (RES)
Le développement de la science des données et les quantités croissantes de données recueillies ouvrent de nouvelles possibilités pour les prévisions des énergies renouvelables (RES). Le projet de recherche Smart4RES financé par l’UE entend améliorer considérablement tout le modèle et la chaine de valeur des RES en proposant une nouvelle génération de modèles de prévision. Le projet se concentrera sur l’amélioration des prévisions météorologiques en mettant l’accent en particulier sur les besoins de l’industrie des RES. Il exploitera des prévisions météorologiques à très haute résolution et un large éventail de données provenant de différentes zones géographiques et propriétaires, tout en respectant les contraintes en termes de vie privée et de confidentialité. Smart4RES a notamment pour objectif de fournir des prévisions d’une grande précision qui permettront de maximiser les avantages en cas d’utilisation dans des applications comme la gestion du stockage, qui assureront le bon fonctionnement du réseau et garantiront la participation des RES dans les marchés de l’électricité.
Objectif
The Smart4RES project aims to bring substantial performance improvements to the whole model and value chain in renewable energy (RES) forecasting, with particular emphasis placed on optimizing synergies with storage and to support power system operation and participation in electricity markets. For that, it concentrates on a number of disruptive proposals to support ambitious objectives for the future of renewable energy forecasting. This is thought of in a context with steady increase in the quantity of data being collected and computational capabilities. And, this comes in combination with recent advances in data science and approaches to meteorological forecasting. Smart4RES concentrates on novel developments towards very high-resolution and dedicated weather forecasting solutions. It makes optimal use of varied and distributed sources of data e.g. remote sensing (sky imagers, satellites, etc), power and meteorological measurements, as well as high-resolution weather forecasts, to yield high-quality and seamless approaches to renewable energy forecasting. The project accommodates the fact that all these sources of data are distributed geographically and in terms of ownership, with current restrictions preventing sharing. Novel alternative approaches are to be developed and evaluated to reach optimal forecast accuracy in that context, including distributed and privacy-preserving learning and forecasting methods, as well as the advent of platform-enabled data-markets, with associated pricing strategies. Smart4RES places a strong emphasis on maximizing the value from the use of forecasts in applications through advanced decision making and optimization approaches. This also goes through approaches to streamline the definition of new forecasting products balancing the complexity of forecast information and the need of forecast users. Focus is on developing models for applications involving storage, the provision of ancillary services, as well as market participation.
Champ scientifique
- natural sciencescomputer and information sciencesdata science
- natural sciencesearth and related environmental sciencesatmospheric sciencesmeteorology
- engineering and technologyenvironmental engineeringenergy and fuelsrenewable energy
- engineering and technologymechanical engineeringvehicle engineeringaerospace engineeringsatellite technology
- engineering and technologyenvironmental engineeringremote sensing
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Programme(s)
Régime de financement
RIA - Research and Innovation actionCoordinateur
75272 Paris
France