New Paradigms in Flow Battery Modelling

Dettagli Bibliografici
Autori principali: A. Shah, Akeel (Autore), Leung, Puiki (Autore), Xu, Qian (Autore), Sui, Pang-Chieh (Autore), Xing, Wei (Autore)
Ente Autore: SpringerLink (Online service)
Riassunto:X, 381 p. 61 illus., 51 illus. in color.
text
Lingua:inglese
Pubblicazione: Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Edizione:1st ed. 2023.
Serie:Engineering Applications of Computational Methods, 16
Soggetti:
Accesso online:https://doi.org/10.1007/978-981-99-2524-7
Natura: Elettronico Libro
Sommario:
  • Chapter 1: Introduction to Energy Storage
  • Chapter 2: Introduction to Flow Batteries
  • Chapter 3: An Introduction Flow Battery Modelling
  • Chapter 4: Latest Developments in Macroscale Models
  • Chapter 5: Latest Developments in Ab-Initio to Mesoscopic Models
  • Chapter 6: Machine Learning for Flow Battery Systems
  • Chapter 7: Future Flow Battery Modelling
  • Bibliography.