Skip to Main Content (Press Enter)

Logo CNR
  • ×
  • Home
  • Persone
  • Pubblicazioni
  • Strutture
  • Competenze

UNI-FIND
Logo CNR

|

UNI-FIND

cnr.it
  • ×
  • Home
  • Persone
  • Pubblicazioni
  • Strutture
  • Competenze
  1. Pubblicazioni

Determination of Ash Content of coal by Laser-Induced Breakdown Spectroscopy

Articolo
Data di Pubblicazione:
2019
Abstract:
In this work, we report the results on the application of Laser-Induced Breakdown Spectroscopy (LIBS) to the analysis of coal, for the determination of its Ash Content. This parameter is critical for an efficient use of coal to produce electrical energy in power plants. The results obtained are compared with the ones obtained through conventional chemical laboratory analysis. The study here presented, although performed in the Laboratory, was set up trying to reproduce the real industrial conditions, with the purpose of easing the transfer of the results obtained to the on-line monitoring of coal quality at the power plant.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Artificial neural networks; Ash Content; Coal; LIBS
Elenco autori:
Pagnotta, Stefano; Campanella, Beatrice; Poggialini, Francesco; Legnaioli, Stefano; Palleschi, Vincenzo
Autori di Ateneo:
CAMPANELLA BEATRICE
LEGNAIOLI STEFANO
PALLESCHI VINCENZO
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/394644
Pubblicato in:
SPECTROCHIMICA ACTA, PART B: ATOMIC SPECTROSCOPY
Journal
  • Dati Generali

Dati Generali

URL

http://www.scopus.com/inward/record.url?eid=2-s2.0-85064195802&partnerID=q2rCbXpz
  • Utilizzo dei cookie

Realizzato con VIVO | Designed by Cineca | 26.5.0.0 | Sorgente dati: PREPROD (Ribaltamento disabilitato)