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

Project Information

SONAR

Grant agreement ID: 875489

DOI 10.3030/875489

Project closed

EC signature date 10 October 2019

Start date 1 January 2020

End date 31 December 2023

Funded under

• SOCIETAL CHALLENGES - Secure, clean and efficient energy

Total cost € 2 820 535,00

EU contribution € 2 385 985,00

Coordinated by

FRAUNHOFER GESELLSCHAFT ZUR FORDERUNG DER ANGEWANDTEN FORSCHUNG EV
Germany

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Deliverables

Documents, reports (8)

Tutorials and public workshops

Workshop tutorials and report on workshops on the functionality and usage of the new work-flows and models, including feedback from consultations with the Industrial Exploitation Board. (Task 8.3)

Scaling strategies 3

Dissipative particle dynamics or Lattice Boltzmann approach coupled to kMC (Task 3.5)

Scaling strategies 1

Mean field model derived from kMC simulation Task 35

Optimized Techno-Economical model

Optimized mathematical model for the specific needs of organic redox flow batteries with different active materials Addition of further variable parameters and dependencies especially the integration of an optimized battery model Task 71

Upgraded kMC model

Upgrade of preexisting kMC code in Python programming language. Adaptation to organic based redox flow systems. (Task 3.1)

Scaling strategies 2

Hybrid model coupling mean field with kMC approach (Task 3.5)

Simplified model of the electrochemical double layer

Model of the electrochemical double layer without spatial resolution modelabbreviation DLM that is computationally less expensive than the kMC model of Task 31 Task 42

Use cases

Report on use cases, demonstrating the performance of new models and work-flows for dissemination and exploitation purposes (Task 8.3)

Other (5)

Database with DFT results for data-driven models

For a large set of redox-active molecules, the electronic structure parameters needed to train and validate machine-leraning models will be calculated and stored in an accessible database format. The precise content of the database will depend on the specific requirements of the model, but will include redox potentials, solvation free energies, and any potential desriptors derived from electronic structure calculations. (Task 2.2)

1D single cell performance model

One-dimensional continuum-scale RFB model (RFB-OS-1D) to simulate the driving potentials and fluxes of mass and charge in the through-plane direction of the cell assembly. A manuscript including the model description is submitted to a scientific journal. The source code of the model is included in the article submission. (Task 4.1)

kMC software deposit in GitHub

Release of kMC code in python programming language. This code will be parallelized (Task 3.1-3.8)

Numerical upscaling of the EDL model

One-dimensional RFB model (RFB-SCSM-1D) that is suitable for computer-based material screening, where details of cell components (membrane, porous electrodes) are described in interaction with the properties of new redox couples. (Task 4.3)

Database with calculated parameters for kMC simulations

For selected redox-active molecules, a database with parameters needed for performing kinetic Monte Carlo simulations will be generated. It will include reaction rates calculated from first principles for e.g. chemical and electrochemical degradation reactions, or heteregenous electron transfer reactions. (Task 2.3)

Websites, patent fillings, videos etc. (1)

Public dissemination

This report will cover all dissemination activities carried out during the project, in accordance with the dissemination plan (D8.2) (Task 8.2 and 8.6)

Publications

Peer reviewed articles (9)

Rapid Prescreening of Organic Compounds for Redox Flow Batteries: A Graph Convolutional Network for Predicting Reaction Enthalpies from SMILES

Author(s): James Barker, Laura‐Sophie Berg, Jan Hamaekers, Astrid Maass
Published in: Batteries & Supercaps, 2021, ISSN 2566-6223
Publisher: Wiley-VCH GmbH
DOI: 10.1002/batt.202100059

Optimization of the microstructure of carbon felt electrodes by applying the lattice Boltzmann method and Bayesian optimizer

Author(s): Yu J, Duquesnoy M, Liu C, Franco AA
Published in: Journal of Power Sources Journal of Power Sources, 2023, ISSN 1873-2755
Publisher: Elsevier
DOI: 10.1016/j.jpowsour.2023.233182

A Three-Dimensional Hydraulic Stack Model for Redox Flow Batteries Considering Porosity Variations in Porous Felt Electrodes and Bypass Flow in Side Gaps

Author(s): X. Guan, M. Skyllas-Kazacos, and C. Menictas
Published in: Batteries, 2023, ISSN 2313-0105
Publisher: MDPI
DOI: 10.3390/batteries9070359

A Multiscale Flow Battery Modeling Approach Using Mass Transfer Coefficients

Author(s): Amadeus Wolf, Emmanuel Baudrin, Hermann Nirschl
Published in: Energy Technology, Issue Volume 11, Issue 7, 2023, ISSN 2194-4296
Publisher: Wiley
DOI: 10.1002/ente.202300175

A Computational Protocol Combining DFT and Cheminformatics for Prediction of pH-Dependent Redox Potentials

Author(s): Rocco Peter Fornari, Piotr de Silva
Published in: Molecules, Issue 14203049, 2021, ISSN 1420-3049
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/molecules26133978

Physics-based 0D-U-I-SoC cell performance model for aqueous organic redox flow batteries

Author(s): GaelMourouga, Roman P.Schaerer, XianYang, TobiasJanoschka, Thomas J.Schmidt, Juergen O.Schumacher
Published in: Electrochimica Acta, Issue 00134686, 2022, ISSN 0013-4686
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.electacta.2022.140185

Techno-Economic Optimization of Flow Batteries Using the Optimization Potential to Prioritize Different Optimization Possibilities

Author(s): Daniel Gerlach, Jens Noack, Katharina Bischof, Chloé Le Boulch, Sabine Trupp
Published in: Journal of The Electrochemical Society, Issue Volume 170, Number 6, 2023, ISSN 0013-4651
Publisher: Electrochemical Society, Inc.
DOI: 10.1149/1945-7111/acdda0

Upscaling of Reactive Mass Transport through Porous Electrodes in Aqueous Flow Batteries

Author(s): Jakub K. Wlodarczyk, Roman P. Schärer, K. Andreas Friedrich and Jürgen O. Schumacher
Published in: Journal of The Electrochemical Society, Issue 171, 2024, Page(s) 020544, ISSN 1945-7111
Publisher: The Electrochemical Society by IOP Publishing Limited
DOI: 10.1149/1945-7111/ad258e

Gaining Insight into the Electrochemical Interface Dynamics in an Organic Redox Flow Battery with a Kinetic Monte Carlo Approach

Author(s): Jia Yu, Garima Shukla, Rocco Peter Fornari, Oler Arcelus, Abbos Shodiev, Piotr de Silva, Alejandro A. Franco
Published in: Small, Issue 16136810, 2022, Page(s) 2107720, ISSN 1613-6810
Publisher: Wiley - V C H Verlag GmbbH & Co.
DOI: 10.1002/smll.202107720

Conference proceedings (3)

Techno-economic comparison of different organic flow batteries based on experimental data versus a vanadium flow battery

Author(s): Daniel Gerlach, Katharina Bischof, Chloé Le Boulch, Jens Noack, Nataliya Roznyatovskaya, Maria Skyllas-Kazacos, Karsten Pinkwart
Published in: IFBF Conference Papers, Issue annual, 2023, Page(s) 38, ISBN 978-1-9162004-3-2
Publisher: IFBF

A three-dimensional hydraulic model for flow battery stack design optimisation

Author(s): Xinjie Guan, Maria Skyllas-Kazacos, Chris Menictas, Jens Noack
Published in: IFBF conference papers, Issue annual, 2023, Page(s) 42, ISBN 978-1-9162004-3-2
Publisher: IFBF 2023

Pore-scale resolved 3D Simulations of aqueous organic flow batteries

Author(s): Amadeus Wolf, Hermann Nirschl
Published in: IFBF conference papers, Issue annual, 2022, Page(s) 88
Publisher: IFBF