Numerical investigation and thermodynamic analysis of the effect of electrolyte flow rate on performance of all vanadium redox flow batteries

Khazaeli, Ali; Vatani, Ali; Tahouni, Nassim; Panjeshahi, M. Hassan

doi:10.1016/j.jpowsour.2015.05.100

Cited by 54 publications

(36 citation statements)

References 32 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%

“…Three-dimensional (3D) RFB models have been developed and compared to experimental results [14,[30][31][32][33][34][35][36]. However, given the various feature lengths in a RFB, 3D model are computationally expensive, which has, in turn, motivated the development of two-dimensional (2D) RFB models to more quickly compare simulation results with lab-scale cells [37][38][39][40][41][42][43][44][45][46]. These 2D models are generally created by omitting the influence of one spatial dimension in the RFB, which can result in inaccurate cell-level fluid dynamic values [47].…”

Section: Introductionmentioning

confidence: 99%

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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%

Section: Introductionmentioning

confidence: 99%

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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“…Pump power losses for different types of bends, valves, and tube diameters in the electrolyte circuit have been also considered . Pressure drop differences between the positive and negative half‐cells can be substantial, and the cell design should aim to reduce them. Finally, it has been shown that interdigitated felt electrodes could reduce pressure losses in vanadium RFB stacks to ca.…”

Section: Introductionmentioning

confidence: 99%

Pressure drop through platinized titanium porous electrodes for cerium‐based redox flow batteries

2017

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The pressure drop, ΔP, across a redox flow battery is linked to pumping costs and energy efficiency, making fluid properties of the electrolyte important in scale‐up operations. The ΔP at diverse platinized titanium electrodes in Ce‐based redox flow batteries is reported as a function of mean linear electrolyte velocity measured in a rectangular channel flow cell. Darcy's friction factor and permeability vs. Reynolds number are calculated. Average permeability values are: 7.10 × 10−4 cm2 for Pt/Ti mesh, 4.45 × 10−4 cm2 for Pt/Ti plate + turbulence promoters, 1.67 × 10−5 cm2 for Pt/Ti micromesh, and 1.31 × 10−6 cm2 for Pt/Ti felt. The electrochemical volumetric mass transport coefficient, kmAe, is provided as a function of ΔP. In the flow‐by configuration, Pt/Ti felt combines high kmAe values with a relatively high ΔP, followed by Pt/Ti micromesh. Pt/Ti mesh and Pt/Ti plate gave a lower ΔP but poorer electrochemical performance. Implications for cell design are discussed. © 2017 American Institute of Chemical Engineers AIChE J, 64: 1135–1146, 2018

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Numerical investigation and thermodynamic analysis of the effect of electrolyte flow rate on performance of all vanadium redox flow batteries

Cited by 54 publications

References 32 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

Pressure drop through platinized titanium porous electrodes for cerium‐based redox flow batteries

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