Validating and improving a zero-dimensional stack voltage model of the Vanadium Redox Flow Battery

König, S.; Suriyah, Michael

doi:10.1016/j.jpowsour.2017.12.014

Cited by 42 publications

(38 citation statements)

References 24 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

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“…32 To the best of our knowledge, no other original work has been published on pore-scale simulation of the RFB, while continuum-based modeling and optimization of the RFBs are still being actively pursued. [33][34][35][36] This gap in the modeling literature is partly attributed to the lack of a general pore-scale modeling framework with feasible computing requirements. Both the works of and Chen et al (2017) is based on direct numerical simulation (DNS), i.e.…”

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confidence: 99%

Exploring the Impact of Electrode Microstructure on Redox Flow Battery Performance Using a Multiphysics Pore Network Model

Sadeghi

Aganou

Kok

et al. 2019

J. Electrochem. Soc.

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The redox flow battery is a promising energy storage technology for managing the inherent uncertainty of renewable energy sources. At present, however, they are too expensive and thus economically unattractive. Optimizing flow batteries is thus an active area of research, with the aim of reducing cost by maximizing performance. This work addresses microstructural electrode optimizations by providing a modeling framework based on pore-networks to study the multiphysics involved in a flow battery, with a specific focus on pore-scale structure and its impact on transport processes. The proposed pore network approach was extremely cheap in computation cost (compared to direct numerical simulation) and therefore was used for parametric sweeps to search for optimum electrode structures in a reasonable time. It was found that that increasing porosity generally helps performance by increasing the permeability and flow rate at a given pressure drop, despite reducing reactive surface area per unit volume. As a more nuanced structural study, it was found that aligning fibers in the direction of flow helps performance by increasing permeability but showed diminishing returns beyond slight alignment. The proposed model was demonstrated in the context of a hydrogen bromine flow battery but could be applied to any system of interest.) unless CC License in place (see abstract). ecsdl.org/site/terms_use address. Redistribution subject to ECS terms of use (see 128.41.35.179 Downloaded on 2019-07-09 to IP A2122 Journal of The Electrochemical Society, 166 (10) A2121-A2130 (2019) ) unless CC License in place (see abstract). ecsdl.org/site/terms_use address. Redistribution subject to ECS terms of use (see 128.41.35.179 Downloaded on 2019-07-09 to IP ) unless CC License in place (see abstract). ecsdl.org/site/terms_use address. Redistribution subject to ECS terms of use (see 128.41.35.179 Downloaded on 2019-07-09 to IP

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“…This hydraulic power loss consists the power consumption by two pumps and the pressure losses across the piping system, flow frame, and porous electrodes. In this case, study, we consider the same cell/stack/electrode design (with the same active electrode area) as in [21] and adopt the value of the scaling factor k = 1.41 from [21]. Table 3 shows the parameters, which are considered for the hydraulic system and the Figure 5 presents the pressure-drop (∆p) and total power consumption (P pump ) by the electrical pumps of VRB.…”

Section: Resultsmentioning

confidence: 99%

“…However, the determination of this actual surface area of the porous electrode can be difficult. Therefore, in this paper, we adopt a scaling factor (k) to represent the effect of the actual electrochemical surface area of the porous electrodes, as in [21]. Considering this actual electrode surface area, the current density of the VRB system can be calculated as follows:…”

Section: Vrb Stack Voltagementioning

confidence: 99%

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Optimal Charging of Vanadium Redox Flow Battery with Time-Varying Input Power

Akter

Bao

et al. 2019

Batteries

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The battery energy storage system has become an indispensable part of the current electricity network due to the vast integration of renewable energy sources (RESs). This paper proposes an optimal charging method of a vanadium redox flow battery (VRB)-based energy storage system, which ensures the maximum harvesting of the free energy from RESs by maintaining safe operations of the battery. The VRB has a deep discharging capability, long cycle life, and high energy efficiency with no issues of cell-balancing, which make it suitable for large-scale energy storage systems. The proposed approach determines the appropriate charging current and the optimal electrolyte flow rate based on the available time-varying input power. Moreover, the charging current is bounded by the limiting current, which prevents the gassing side-reactions and protects the VRB from overcharging. The proposed optimal charging method is investigated by simulation studies using MATLAB/Simulink.

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Validating and improving a zero-dimensional stack voltage model of the Vanadium Redox Flow Battery

Cited by 42 publications

References 24 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

Exploring the Impact of Electrode Microstructure on Redox Flow Battery Performance Using a Multiphysics Pore Network Model

Optimal Charging of Vanadium Redox Flow Battery with Time-Varying Input Power

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