Advanced Microstructures for Electrochemical Energy Systems: A Modelling Perspective

Antonio Bertei, Roberto Mauri, Chih Che Chueh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publication5th International Forum on Research and Technologies for Society and Industry
Subtitle of host publicationInnovation to Shape the Future, RTSI 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages208-212
Number of pages5
ISBN (Electronic)9781728138152
DOIs
Publication statusPublished - 2019 Sept
Event5th International Forum on Research and Technologies for Society and Industry, RTSI 2019 - Firenze, Italy
Duration: 2019 Sept 92019 Sept 12

Publication series

Name5th International Forum on Research and Technologies for Society and Industry: Innovation to Shape the Future, RTSI 2019 - Proceedings

Conference

Conference5th International Forum on Research and Technologies for Society and Industry, RTSI 2019
Country/TerritoryItaly
CityFirenze
Period19-09-0919-09-12

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Computer Networks and Communications
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering
  • Instrumentation

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