The Acid-Base Flow Battery (AB-FB) is a novel technology for energy storage. It is based on reversible electrodialytic techniques with ion-exchange membranes. The kye elements are the bipolar membranes, which convert electrical energy in the form of pH gradients and vice versa. Despite the promising results of few experimental studies, the AB-FB potential has been poorly explored so far. This work presents an optimization study of the AB-FB. It was performed by a multi-scale process model previously developed (gPROMS Model Builder® environment) and experimentally validated. A two-objective optimization was conducted by maximizing the Net Round Trip Efficiency and the Net Power Density in the discharge phase. By the ε-constraint method, curves of Pareto optimal solutions were predicted under several scenarios by assessing systematically the effect of decision variables. In a closed-loop configuration (solutions recirculation), optimized operating conditions and design features yielded a maximum NRTE of 64% and a maximum NPD of 19.5 Wm-2. Improved membrane properties increased these quantities to 76.2% and 23.2 Wm-2, respectively. Finally, open-loop operations were beneficial for the process performance. These promising results will drive the AB-FB technology towards future developments and competitive configurations.

A. Culcasi, L. Gurreri, A. Tamburini, G. Micale (2021). Optimization study of acid-base flow battery stacks with monopolar and bipolar membranes. In 12TH EUROPEAN SYMPOSIUM ON ELECTROCHEMICAL ENGINEERING Electrochemistry for electrification and energy transition towards a sustainable future (pp. 29-29).

Optimization study of acid-base flow battery stacks with monopolar and bipolar membranes

A. Culcasi;L. Gurreri;A. Tamburini;G. Micale
2021-01-01

Abstract

The Acid-Base Flow Battery (AB-FB) is a novel technology for energy storage. It is based on reversible electrodialytic techniques with ion-exchange membranes. The kye elements are the bipolar membranes, which convert electrical energy in the form of pH gradients and vice versa. Despite the promising results of few experimental studies, the AB-FB potential has been poorly explored so far. This work presents an optimization study of the AB-FB. It was performed by a multi-scale process model previously developed (gPROMS Model Builder® environment) and experimentally validated. A two-objective optimization was conducted by maximizing the Net Round Trip Efficiency and the Net Power Density in the discharge phase. By the ε-constraint method, curves of Pareto optimal solutions were predicted under several scenarios by assessing systematically the effect of decision variables. In a closed-loop configuration (solutions recirculation), optimized operating conditions and design features yielded a maximum NRTE of 64% and a maximum NPD of 19.5 Wm-2. Improved membrane properties increased these quantities to 76.2% and 23.2 Wm-2, respectively. Finally, open-loop operations were beneficial for the process performance. These promising results will drive the AB-FB technology towards future developments and competitive configurations.
2021
Flow battery
pH gradient
bipolar membrane
epsilon-constraint
Pareto frontier
A. Culcasi, L. Gurreri, A. Tamburini, G. Micale (2021). Optimization study of acid-base flow battery stacks with monopolar and bipolar membranes. In 12TH EUROPEAN SYMPOSIUM ON ELECTROCHEMICAL ENGINEERING Electrochemistry for electrification and energy transition towards a sustainable future (pp. 29-29).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/513613
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