The quasi-steady state of all-vanadium redox flow batteries: A scale analysis

Sharma, Ashwini Kumar; Vynnycky, Michael; Ling, Chun; Birgersson, Erik; Han, Mei

doi:10.1016/j.electacta.2014.09.134

Cited by 22 publications

(11 citation statements)

References 19 publications

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“…Simulation of the cost of RFBs for power grid regulation has also been achieved [180]. a) The all vanadium cell, e.g., [171,173,176,181] b) Zinc-bromine cell [182][183][184]. c) Bromine-polysulfide cells [174,175].…”

Section: Experimental Studies Of Reaction Environmentmentioning

confidence: 99%

Engineering aspects of the design, construction and performance of modular redox flow batteries for energy storage

Arenas

León

Walsh

2017

Journal of Energy Storage

261

162

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Despite many studies and several extensive reviews of redox flow batteries (RFBs) over the last three decades, information on engineering aspects is scarce, which hinders progress with scale-up and implementation of this energy storage technology. This review summarises cell design requirements then critically considers design, construction and cell features together with their benefits and problems, leading to good practice through improved cell performance, knowledge and experience. Techniques for the characterisation of the reaction environment are illustrated by measurements of mass transport to (and from) electrode surfaces as a function of flow conditions, as well as pressure drop and electrolyte flow dispersion. The effect of design features on performance is illustrated by the effect of process conditions on the components of cell potential. Adequate attention to engineering aspects is seen to be critical to the effective performance of RFBs, particularly during scale-up and long-term operation. Techniques for the characterisation of reaction environment are summarised and a list of essential design and construction factors is provided. Finally, critical areas needing research and development are highlighted.

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Section: Experimental Studies Of Reaction Environmentmentioning

confidence: 99%

Engineering aspects of the design, construction and performance of modular redox flow batteries for energy storage

Arenas

León

Walsh

2017

Journal of Energy Storage

261

162

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“…In the literature, the experimental data of ideal voltage losses of lab-scale RFB setups are often used to adjust model parameters, e.g. the kinetic parameters in the Butler-Volmer equations for the calculation of activation overpotentials [17,22,23,28,49,50]. However, the present results indicate that the ideal voltage losses under-or overestimate the real voltage losses.…”

Section: Journal Of the Electrochemical Societymentioning

confidence: 67%

“…Thermodynamically rigorous description of the OCV of RFBs 3 solution, the electrode and membrane materials, the cell geometry, and flow conditions [4,12,13,14,15], so that an accurate mathematical modeling plays a key role in understanding and optimizing RFBs. The employed models differ in their complexity and therefore the computational cost, ranging from simple zerodimensional [16,17,18] to one- [19,20] and two-dimensional [21,22,23] to elaborate and numerically intensive three-dimensional models [24,25]. However, in most studies only the AVRFB is considered, since its development is most advanced compared to other RFB types.…”

Section: Introductionmentioning

confidence: 99%

Thermodynamically Rigorous Description of the Open Circuit Voltage of Redox Flow Batteries

Hayer

Kohns

2020

J. Electrochem. Soc.

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Redox flow batteries (RFBs) are considered an outstanding candidate for the integration of renewable energy sources into the existing power grids. A key property of RFBs is the open circuit voltage (OCV) corresponding to the currentless equilibrium state. In the literature, the Nernst equation describing this property is often simplified by neglecting the activity coefficients. In this work, using a thermodynamically rigorous approach, we show that activity coefficients have a significant influence on the OCV of the Iron-Cadmium and All-Vanadium RFBs. Moreover, this influence varies with the state of charge. Therefore, activity coefficients should not be neglected in the Nernst equation. We show that when doing so, the resulting offset in OCV is actually comparable to typical voltage losses occurring during operation. Hence, fitting kinetic parameters to measurement data of voltage losses can lead to ambiguous results if only the idealized OCV, obtained by neglecting the activity coefficients, is used in that evaluation. Therefore, the implementation of a thermodynamically rigorous model has the potential to significantly improve state-of-the-art models for RFBs.

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“…Many numerical models have been developed to support experiments as cost-effective approaches to advance the understanding of VRFB technologies [8], as well as to improve battery control, optimize operating conditions, and design new materials and architectures for VRFB systems [1,9]. The widely used physics-based VRFB models can be divided into zero-dimensional (0D) [10,11,12,13], one-dimensional (1D) [14,15], two-dimensional (2D) [8,16,17],…”

Section: Introductionmentioning

confidence: 99%

Physics-constrained deep neural network method for estimating parameters in a redox flow battery

He¹,

Stinis²,

Tartakovsky³

2021

Preprint

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In this paper, we present a physics-constrained deep neural network (PCDNN) method for parameter estimation in the zero-dimensional (0D) model of the vanadium redox flow battery (VRFB). In this approach, we use deep neural networks (DNNs) to approximate the model parameters as functions of the operating conditions. This method allows the integration of the VRFB computational models as the physical constraints in the parameter learning process, leading to enhanced accuracy of parameter estimation and cell voltage prediction. Using an experimental dataset, we demonstrate that the PCDNN method can estimate model parameters for a range of operating conditions and improve the 0D model prediction of voltage compared to the 0D model prediction with constant operation-condition-independent parameters estimated with traditional inverse methods. We also demonstrate that the PCDNN approach has an improved generalization ability for estimating parameter values for operating conditions not used in the DNN training.

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The quasi-steady state of all-vanadium redox flow batteries: A scale analysis

Cited by 22 publications

References 19 publications

Engineering aspects of the design, construction and performance of modular redox flow batteries for energy storage

Engineering aspects of the design, construction and performance of modular redox flow batteries for energy storage

Thermodynamically Rigorous Description of the Open Circuit Voltage of Redox Flow Batteries

Physics-constrained deep neural network method for estimating parameters in a redox flow battery

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