The efficiency of solid oxide fuel cells (SOFCs) and lithium-ion batteries (LIBs) can be significantly improved by optimizing the microstructure of their porous electrodes. Thanks to novel fabrication techniques, such as 3D printing and additive manufacturing, innovative structural features can be produced in order to improve the electrochemical performance beyond what the current homogeneous microstructures can do. In this study, by means of physically-based modelling, we show how the insertion of dense ion-conducting pillars in SOFC anodes and the grading of the particle size and porosity in LIB positive electrodes can enhance the efficiency of electrochemical energy conversion and energy storage. The paper is intended to showcase the potential of such novel electrode architectures and to demonstrate how modelling can provide useful design indications to guide the optimization of the new generation of electrochemical energy systems.

Advanced microstructures for electrochemical energy systems: a modelling perspective

Antonio Bertei
Primo
Investigation
;
Roberto Mauri
Supervision
;
2019-01-01

Abstract

The efficiency of solid oxide fuel cells (SOFCs) and lithium-ion batteries (LIBs) can be significantly improved by optimizing the microstructure of their porous electrodes. Thanks to novel fabrication techniques, such as 3D printing and additive manufacturing, innovative structural features can be produced in order to improve the electrochemical performance beyond what the current homogeneous microstructures can do. In this study, by means of physically-based modelling, we show how the insertion of dense ion-conducting pillars in SOFC anodes and the grading of the particle size and porosity in LIB positive electrodes can enhance the efficiency of electrochemical energy conversion and energy storage. The paper is intended to showcase the potential of such novel electrode architectures and to demonstrate how modelling can provide useful design indications to guide the optimization of the new generation of electrochemical energy systems.
2019
978-172813815-2
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/1003950
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