Two‐Membrane Acid‐Base Flow Battery with Hydrogen Electrodes for Neutralization‐to‐Electrical Energy Conversion

ChemSusChem ◽  
2021 ◽  
Author(s):  
Pavel Loktionov ◽  
Anastasia Bocharova ◽  
Dmitry Konev ◽  
Alexander Modestov ◽  
Roman Pichugov ◽  
...  
2020 ◽  
Vol 277 ◽  
pp. 115576 ◽  
Author(s):  
Andrea Culcasi ◽  
Luigi Gurreri ◽  
Andrea Zaffora ◽  
Alessandro Cosenza ◽  
Alessandro Tamburini ◽  
...  

2021 ◽  
pp. 129529
Author(s):  
Maryori C. Díaz-Ramírez ◽  
Maria Blecua-de-Pedro ◽  
Alvaro J. Arnal ◽  
Jan Post

Processes ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. 99 ◽  
Author(s):  
Jiabing Xia ◽  
Gerhart Eigenberger ◽  
Heinrich Strathmann ◽  
Ulrich Nieken

Neutralization of acid and base to produce electricity in the process of reverse electrodialysis with bipolar membranes (REDBP) presents an interesting but until now fairly overlooked flow battery concept. Previously, we presented single-cell experiments, which explain the principle and discuss the potential of this process. In this contribution, we discuss experiments with REDBP stacks at lab scale, consisting of 5 to 20 repeating cell units. They demonstrate that the single-cell results can be extrapolated to respective stacks, although additional losses have to be considered. As in other flow battery stacks, losses by shunt currents through the parallel electrolyte feed/exit lines increases with the number of connected cell units, whereas the relative importance of electrode losses decreases with increasing cell number. Experimental results are presented with 1 mole L−1 acid (HCl) and base (NaOH) for open circuit as well as for charge and discharge with up to 18 mA/cm2 current density. Measures to further increase the efficiency of this novel flow battery concept are discussed.


2021 ◽  
Vol 640 ◽  
pp. 119748 ◽  
Author(s):  
Emad Al-Dhubhani ◽  
Ragne Pärnamäe ◽  
Jan W. Post ◽  
Michel Saakes ◽  
Michele Tedesco

Membranes ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. 409
Author(s):  
Ragne Pärnamäe ◽  
Luigi Gurreri ◽  
Jan Post ◽  
Willem Johannes van Egmond ◽  
Andrea Culcasi ◽  
...  

The increasing share of renewables in electric grids nowadays causes a growing daily and seasonal mismatch between electricity generation and demand. In this regard, novel energy storage systems need to be developed, to allow large-scale storage of the excess electricity during low-demand time, and its distribution during peak demand time. Acid–base flow battery (ABFB) is a novel and environmentally friendly technology based on the reversible water dissociation by bipolar membranes, and it stores electricity in the form of chemical energy in acid and base solutions. The technology has already been demonstrated at the laboratory scale, and the experimental testing of the first 1 kW pilot plant is currently ongoing. This work aims to describe the current development and the perspectives of the ABFB technology. In particular, we discuss the main technical challenges related to the development of battery components (membranes, electrolyte solutions, and stack design), as well as simulated scenarios, to demonstrate the technology at the kW–MW scale. Finally, we present an economic analysis for a first 100 kW commercial unit and suggest future directions for further technology scale-up and commercial deployment.


2017 ◽  
Vol 42 (4) ◽  
pp. 1524-1535 ◽  
Author(s):  
W. J. van Egmond ◽  
M. Saakes ◽  
I. Noor ◽  
S. Porada ◽  
C. J. N. Buisman ◽  
...  

2021 ◽  
Vol 13 (11) ◽  
pp. 6089
Author(s):  
Jesús Muñoz-Cruzado-Alba ◽  
Rossano Musca ◽  
Javier Ballestín-Fuertes ◽  
José F. Sanz-Osorio ◽  
David Miguel Rivas-Ascaso ◽  
...  

There are many different types of energy storage systems (ESS) available and the functionality that they can provide is extensive. However, each of these solutions come with their own set of drawbacks. The acid-base flow battery (ABFB) technology aims to provide a route to a cheap, clean and safe ESS by means of providing a new kind of energy storage technology based on reversible dissociation of water via bipolar electrodialysis. First, the main characteristics of the ABFB technology are described briefly to highlight its main advantages and drawbacks and define the most-competitive use-case scenarios in which the technology could be applied, as well as analyze the particular characteristics which must be considered in the process of designing the power converter to be used for the interface with the electrical network. As a result, based on the use-cases defined, the ESS main specifications are going to be identified, pointing out the best power converter configuration alternatives. Finally, an application example is presented, showing an installation in the electrical network of Pantelleria (Italy) where a real pilot-scale prototype has been installed.


Processes ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 1141
Author(s):  
Ángel Encalada-Dávila ◽  
Mayken Espinoza-Andaluz ◽  
Julio Barzola-Monteses ◽  
Shian Li ◽  
Martin Andersson

A polymer electrolyte fuel cell (PEFC) is an electrochemical device that converts chemical energy into electrical energy and heat. The energy conversion is simple; however, the multiphysics phenomena involved in the energy conversion process must be analyzed in detail. The gas diffusion layer (GDL) provides a diffusion media for reactant gases and gives mechanical support to the fuel cell. It is a complex medium whose properties impact the fuel cell’s efficiency. Therefore, an in-depth analysis is required to improve its mechanical and physical properties. In the current study, several transport phenomena through three-dimensional digitally created GDLs have been analyzed. Once the porous microstructure is generated and the transport phenomena are mimicked, transport parameters related to the fluid flow and mass diffusion are computed. The GDLs are approximated to the carbon paper represented as a grouped package of carbon fibers. Several correlations, based on the fiber diameter, to predict their transport properties are proposed. The digitally created GDLs and the transport phenomena have been modeled using the open-source library named Open Pore Network Modeling (OpenPNM). The proposed correlations show a good fit with the obtained data with an R-square of approximately 0.98.


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