Activity gradient carbon felt electrodes for vanadium redox flow batteries

Kim, Youngkwon; Choi, Yun Young; Yun, Nari; Yang, Mingyu; Jeon, Yong-Hee; Kim, Ki Jae; Choi, Jung Il

doi:10.1016/j.jpowsour.2018.09.066

Cited by 40 publications

(19 citation statements)

References 25 publications

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“…According to previous work [88,89], the exponent constant a is typically in the range of 0.3 to 0.5 for laminar flow. This value of a (i.e., 0.4) is also widely reported in previous modeling studies [14,30,38,[43][44][45][46][90][91][92][93][94][95]. For b, the fitted value, 1.33 × 10 −5 , is within the range of the previously reported values; for example, k m,− = 1.69 × 10 −5 |u| 0.4 and k m,+ = 1.07 × 10 −5 |u| 0.4 as reported in Delanghe et al [96].…”

Section: Model Parameterssupporting

confidence: 86%

Integrated Numerical and Experimental Data-Driven Parameter Identification of Electrode Properties in All-Vanadium Redox Flow Batteries

Cheng¹,

Tenny²,

Pizzolato³

et al. 2020

Preprint

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The vanadium redox flow battery (VRFB) is a promising energy storage technology for stationary applications (e.g., renewables integration) that offers a pathway to cost-effectiveness through independent scaling of power and energy as well as longevity. Many current research efforts are focused on improving battery performance through electrode modifications, but high-throughput, laboratory-scale testing can be time- and material-intensive. Advances in multiphysics-based numerical modeling and data-driven parameter identification afford a computational platform to expand the design space by rapidly screening a diverse array of electrode configurations. Herein, a 3D VRFB model is first developed and validated against experimental results. Subsequently, a new 2D model is composed, yielding a computationally light simulation framework, which is used to generate a dataset of 16800 electrode property combinations under four different cell voltages to track the impact of different structural parameters on the cell current density. These structure-performance relationships are quantified using Kendall $\tau$ rank correlation coefficients to highlight the dependence of cell performance on bulk electrode morphology and to identify improved property sets. This statistical framework may serve as a general guideline for parameter identification for more advanced electrode designs.

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Section: Model Parameterssupporting

confidence: 86%

Integrated Numerical and Experimental Data-Driven Parameter Identification of Electrode Properties in All-Vanadium Redox Flow Batteries

Cheng¹,

Tenny²,

Pizzolato³

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

Section: Model Parameterssupporting

confidence: 85%

Data-Driven Electrode Parameter Identification for Vanadium Redox Flow Batteries Through Experimental and Numerical Methods

Cheng¹,

Tenny²,

Pizzolato³

et al. 2020

Preprint

View full text Add to dashboard Cite

The vanadium redox flow battery (VRFB) is a promising energy storage technology for stationary applications (e.g., renewables integration) that offers a pathway to cost-effectiveness through independent scaling of power and energy as well as longevity. Many current research efforts are focused on improving battery performance through electrode modifications, but high-throughput, laboratory-scale testing can be time- and material-intensive. Advances in multiphysics-based numerical modeling and data-driven parameter identification afford a computational platform to expand the design space by rapidly screening a diverse array of electrode configurations. Herein, a 3D VRFB model is first developed and validated against experimental results. Subsequently, a new 2D model is composed, yielding a computationally-light simulation framework, which is used to span bounded values of the electrode thickness, porosity, volumetric area, fiber diameter, and kinetic rate constant across six cell polarization voltages. This generates a dataset of 7350 electrode property combinations for each cell voltage, which is used to evaluate the effect of these structural properties on the pressure drop and current density. These structure-performance relationships are further quantified using Kendall $\tau$ rank correlation coefficients to highlight the dependence of cell performance on bulk electrode morphology and to identify improved property sets. This statistical framework may serve as a general guideline for parameter identification for more advanced electrode designs and redox flow battery (RFB) stacks.

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“…The effect of felt compression has been well documented [19,20] and other studies have applied the same theory in different ways, such as by modifying the materials instead of the cell geometry [21][22][23]. Another group has modified the cell architecture with asymmetric compression to address species crossover and associated capacity decay [24].…”

Section: Introductionmentioning

confidence: 99%

Mass Transport Optimization for Redox Flow Battery Design

Gurieff¹,

Keogh²,

Bladry³

et al. 2020

Preprint

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The world is moving to the next phase of the energy transition with high penetrations of renewable energy. Flexible and scalable redox flow battery (RFB) technology is expected to play an important role in ensuring electricity network security and reliability. Continuous performance improvements will further enhance their value by reducing parasitic losses and maximizing available energy conversion over broader operating conditions. Concentration overpotentials from poor internal reactant distribution at high and low states of charge (SOC) limit power densities and are thus an important area of investigation. However, efforts to address these coupled electrochemical phenomena can compromise mechanical performance. Modelling and simulation of cell design innovations have shown it is possible to reduce losses from pump energy while increasing the availability of active species where required. The combination of wedge-shaped cells with static mixers investigated in this paper can reduce pressure drop and improve energy efficiency. Toroidal vanadium redox flow battery (VRB/VRFB) designs incorporating this innovation are presented for further development to improve community engagement with the technology.

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Activity gradient carbon felt electrodes for vanadium redox flow batteries

Cited by 40 publications

References 25 publications

Integrated Numerical and Experimental Data-Driven Parameter Identification of Electrode Properties in All-Vanadium Redox Flow Batteries

Integrated Numerical and Experimental Data-Driven Parameter Identification of Electrode Properties in All-Vanadium Redox Flow Batteries

Data-Driven Electrode Parameter Identification for Vanadium Redox Flow Batteries Through Experimental and Numerical Methods

Mass Transport Optimization for Redox Flow Battery Design

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