Predicting the evolution of flammable gases during Li-ion battery thermal runaway using micro-kinetic modelling

Bugryniec, P. orcid.org/0000-0003-3494-5646, Vernuccio, S. orcid.org/0000-0003-1254-0293 and Brown, S. orcid.org/0000-0001-8229-8004 (2023) Predicting the evolution of flammable gases during Li-ion battery thermal runaway using micro-kinetic modelling. In: Kokossis, A.C., Georgiadis, M.C. and Pistikopoulos, E., (eds.) 33,[object Object], European Symposium on Computer Aided Process Engineering. 33rd European Symposium on Computer Aided Process Engineering, 18-21 Jun 2023, Athens, Greece. Computer Aided Chemical Engineering, 52 . Elsevier , pp. 1077-1082. ISBN 9780443152740

Abstract

Metadata

Item Type: Proceedings Paper
Authors/Creators:
Editors:
  • Kokossis, A.C.
  • Georgiadis, M.C.
  • Pistikopoulos, E.
Copyright, Publisher and Additional Information:

© 2023 Elsevier B.V.

Keywords: Reaction network analysis; Hazard prediction; Dimethyl carbonate; Lower explosion limit; Thermal decomposition
Dates:
  • Published (online): 18 July 2023
  • Published: 18 July 2023
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > School of Chemical, Materials and Biological Engineering
Funding Information:
Funder
Grant number
THE FARADAY INSTITUTION
FIRG028
Depositing User: Symplectic Sheffield
Date Deposited: 23 May 2025 11:25
Last Modified: 23 May 2025 11:25
Status: Published
Publisher: Elsevier
Series Name: Computer Aided Chemical Engineering
Refereed: Yes
Identification Number: 10.1016/b978-0-443-15274-0.50172-4
Sustainable Development Goals:
  • Sustainable Development Goals: Goal 7: Affordable and Clean Energy
Open Archives Initiative ID (OAI ID):

Download not available

A full text copy of this item is not currently available from White Rose Research Online

Export

Statistics