Descrizione del progetto
Scienza dei dati per le previsioni per le energie rinnovabili
Lo sviluppo della scienza dei dati, insieme all’aumento della quantità di dati raccolti, apre nuove possibilità per le previsioni per le energie rinnovabili. Il progetto di ricerca Smart4RES, finanziato dall’UE, si propone di migliorare sostanzialmente l’intero modello e la catena del valore nelle previsioni per le energie rinnovabili proponendo la prossima generazione di modelli di previsione relativi alle energie rinnovabili. Il progetto si concentrerà sul miglioramento delle previsioni meteorologiche con particolare attenzione alle esigenze dell’industria delle energie rinnovabili. Sfrutterà previsioni meteorologiche ad altissima risoluzione e un’ampia gamma di dati provenienti da diverse aree geografiche e diversi proprietari, nel rispetto della privacy e dei vincoli di riservatezza. Tra gli obiettivi di Smart4RES vi è quello di fornire previsioni estremamente accurate che si traducano in un aumento dei benefici quando vengono utilizzate in applicazioni come la gestione dello stoccaggio, e che supportino il funzionamento della rete e la partecipazione delle energie rinnovabili nei mercati dell’elettricità.
Obiettivo
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.
Campo scientifico
- 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
Parole chiave
Programma(i)
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Vedi altri progetti per questo bandoBando secondario
H2020-LC-SC3-2019-ES-SCC
Meccanismo di finanziamento
RIA - Research and Innovation actionCoordinatore
75272 Paris
Francia