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
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