Explore the words cloud of the SONAR project. It provides you a very rough idea of what is the project "SONAR" about.
The following table provides information about the project.
Coordinator |
FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V.
Organization address contact info |
Coordinator Country | Germany [DE] |
Total cost | 2˙820˙535 € |
EC max contribution | 2˙385˙985 € (85%) |
Programme |
1. H2020-EU.3.3.4. (A single, smart European electricity grid) |
Code Call | H2020-LC-BAT-2019 |
Funding Scheme | RIA |
Starting year | 2020 |
Duration (year-month-day) | from 2020-01-01 to 2023-12-31 |
Take a look of project's partnership.
# | ||||
---|---|---|---|---|
1 | FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V. | DE (MUNCHEN) | coordinator | 918˙900.00 |
2 | DANMARKS TEKNISKE UNIVERSITET | DK (KGS LYNGBY) | participant | 392˙335.00 |
3 | ZURCHER HOCHSCHULE FUR ANGEWANDTE WISSENSCHAFTEN | CH (WINTERTHUR) | participant | 390˙700.00 |
4 | CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS | FR (PARIS) | participant | 356˙550.00 |
5 | KARLSRUHER INSTITUT FUER TECHNOLOGIE | DE (KARLSRUHE) | participant | 327˙500.00 |
6 | UNIVERSITY OF NEW SOUTH WALES | AU (SYDNEY) | participant | 0.00 |
SONAR will develop a framework for the simulation-based screening of electroactive materials for aqueous and nonaqueous organic redox flow batteries (RFBs). It will adopt a multiscale modelling paradigm, in which simulation methods at different physical scales will be further advanced and linked by combining physics- and data-based modelling. Competing energy storage technologies are only comparable when using the levelized-cost-of-storage (LCOS) as a global metric, accounting for the complex interrelations between factors like CAPEX, lifetime and performance. SONAR will thus develop a screening framework to determine LCOS, starting from the automatic generation of candidate structures for the electroactive material, then iterating through molecular-, electrochemical interface-, porous electrodes-, cell-, stack-, system- and techno-economic-level models. For the iterative traversal of the different scales, exclusion criteria like solubility, standard potentials and kinetics will be defined, and the results for individual candidates will be stored in a database for further processing. To increase the throughput of the screening, SONAR will exploit advanced data integration, analysis and machine-learning techniques, drawing on the growing amount of data produced during the project. The models will be validated e.g. by comparison with measurements of redox potentials for known chemistries, or measurement data of RFB half-cells and lab-sized test cells. SONAR will work closely with industrial partners (incl. JenaBatteries, Volterion) to ensure the commercial viability of the results. The models will be exploited individually and in a comprehensive screening service offered by Fraunhofer SCAI, facilitating the rapid assessment of the technical and economic potential of a new technology in its earliest development stages. This will reduce the cost and time-to-market, thus strengthening the competitiveness of the EU’s battery industry in the emerging field of organic RFBs.
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The information about "SONAR" are provided by the European Opendata Portal: CORDIS opendata.