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SONAR

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Modelling for the search for new active materials for redox flow batteries

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 method... see more

31/12/2023

Fraunhofer

3M€

Project Budget: 3M€

Project leader

FRAUNHOFER GESELLSCHAFT ZUR FORDERUNG DER ANG... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

PARTICIPATION DEPralty Sin fecha límite de participación.

Ver 8 Participantes

Financing granted El organismo H2020 notifico la concesión del proyecto The day 2023-12-31

LC-BAT-3-2019: Modelling and simulation for Redox... Specific Challenge:Redox flow batteries (RFB) are considered prime candidates for grid-scale station...

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characteristics of the participant

Este proyecto no cuenta con búsquedas de partenariado abiertas en este momento.

Private Information

No hay información privada compartida para este proyecto. Habla con el coordinador.

8 Participantes

Fraunhofer

918.90K€ | Leader

UNIVERSITY OF NEW SOUTH WALE...

KIT

327.50K€ | participant

TECHNICAL UNIVERSITY OF DENM...

392.34K€ | participant

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Project duration: 50 months Date Start: 2019-10-10
End date: 2023-12-31

Project leader

FRAUNHOFER GESELLSCHAFT ZUR FORDERUNG DER ANG... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Project Budget 3M€

participation deadline Sin fecha límite de participación.

Project description 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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