Scientific Achievement
This study provides extensive validation for 3D-to-2D model reduction for redox flow batteries (RFBs). This computationally light, 2D model is used to generate a data set of >6,000 unique RFB simulations for statistical quantification.
Significance and Impact
This work spans multiple electrode property values to generate a structure/function data set for a model vanadium redox flow cell. This procedure can be applied to new redox chemistries for in operando statistical quantification as well as be further implemented advanced data science analysis.
Research Details
- A 3D, macrohomogenous RFB model is validated against experimental data with three fitting parameters
- The 3D model is reduced to a 2D model and validated against experimental data, reducing the computational time
- This 2D model is used to >6,000 electrode configurations to build a robust structure/function data set
- Statistical correlations are computed for each simulation, serving as a parameter sensitivity across polarization conditions