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. and Brown, S. (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.) 33rd European Symposium on Computer Aided Process Engineering. 33rd European Symposium on Computer-Aided Process Engineering (ESCAPE-33), 18-21 Jun 2023, Athens, Greece. Computer Aided Chemical Engineering, vol. 52. Elsevier, pp. 1077-1082. ISBN: 9780443235535. ISSN: 1570-7946.

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:
  • Accepted: 2023
  • Published (online): 2023
  • Published: 2023
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Chemical and Biological Engineering (Sheffield)
Funding Information:
Funder
Grant number
THE FARADAY INSTITUTION
UNSPECIFIED
Date Deposited: 07 Jul 2023 09:17
Last Modified: 29 Apr 2026 18:38
Status: Published
Publisher: Elsevier
Series Name: Computer Aided Chemical Engineering
Refereed: Yes
Identification Number: 10.1016/B978-0-443-15274-0.50172-4
Related URLs:
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