The project focuses on the electrochemical modeling of a novel solid booster concept for redox flow batteries. The aim is to enhance the energy storage density by incorporating redox-active solid materials directly into the electrolyte tanks. We will develop a detailed Multiphysics model of the reactor, capturing the charge transfer between soluble and solid redox couples, and mass transport phenomena in the porous media.

The developed model will be coupled with the macroscopic cell model developed by other PREDICTOR project partners. The input data for the modeling will be obtained from the DFT calculations carried out within the consortium and Pekka Peljo’s research group.

The research will be carried out at Aalto University, offering cutting-edge training in electrochemical engineering, electrochemistry, and computational modeling of the flow batteries. The project aims to support the design of next-generation flow batteries with improved performance and scalability for renewable energy storage applications.