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Smart4RES SIGNED

Next Generation Modelling and Forecasting of Variable Renewable Generation for Large-scale Integration in Energy Systems and Markets

Total Cost €

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EC-Contrib. €

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Partnership

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Project "Smart4RES" data sheet

The following table provides information about the project.

Coordinator
ASSOCIATION POUR LA RECHERCHE ET LE DEVELOPPEMENT DES METHODES ET PROCESSUS INDUSTRIELS 

Organization address
address: BOULEVARD SAINT MICHEL 60
city: PARIS
postcode: 75272
website: www.armines.net

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country France [FR]
 Total cost 3˙999˙915 €
 EC max contribution 3˙999˙915 € (100%)
 Programme 1. H2020-EU.3.3.4. (A single, smart European electricity grid)
 Code Call H2020-LC-SC3-2019-ES-SCC
 Funding Scheme RIA
 Starting year 2019
 Duration (year-month-day) from 2019-11-01   to  2023-04-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    ASSOCIATION POUR LA RECHERCHE ET LE DEVELOPPEMENT DES METHODES ET PROCESSUS INDUSTRIELS FR (PARIS) coordinator 540˙100.00
2    DANMARKS TEKNISKE UNIVERSITET DK (KGS LYNGBY) participant 485˙156.00
3    INESC TEC - INSTITUTO DE ENGENHARIADE SISTEMAS E COMPUTADORES, TECNOLOGIA E CIENCIA PT (PORTO) participant 408˙312.00
4    ENERGY & METEO SYSTEMS GMBH DE (OLDENBURG) participant 408˙125.00
5    METEO-FRANCE FR (SAINT MANDE CEDEX) participant 341˙613.00
6    DEUTSCHES ZENTRUM FUER LUFT - UND RAUMFAHRT EV DE (KOELN) participant 328˙278.00
7    INSTITUTE OF COMMUNICATION AND COMPUTER SYSTEMS EL (ATHINA) participant 304˙375.00
8    DNV GL NETHERLANDS B.V. NL (ARNHEM) participant 297˙812.00
9    CNET CENTRE FOR NEW ENERGY TECHNOLOGIES SA PT (SACAVEM E PRIOR VELHO LISBOA) participant 288˙250.00
10    DOWEL MANAGEMENT FR (VALBONNE) participant 255˙391.00
11    WHIFFLE BV NL (DELFT) participant 212˙500.00
12    DIACHEIRISTIS ELLINIKOU DIKTYOU DIANOMIS ELEKTRIKIS ENERGEIAS AE EL (ATHINA) participant 130˙000.00

Map

 Project objective

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.

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The information about "SMART4RES" are provided by the European Opendata Portal: CORDIS opendata.

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