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1

ETS Ingenieros Industriales, University of Vigo, Lagoas-Marcosende s-n 36200–Vigo, Spain

2

ETS Ingeniería de Minas, University of Vigo, Lagoas-Marcosende s-n 36200–Vigo, Spain





*

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Abstract This paper investigates a method for the determination of the maximum sampling error and confidence intervals of thermal properties obtained from thermogravimetric analysis TG analysis for several lignocellulosic materials ground olive stone, almond shell, pine pellets and oak pellets, completing previous work of the same authors. A comparison has been made between results of TG analysis and prompt analysis. Levels of uncertainty and errors were obtained, demonstrating that properties evaluated by TG analysis were representative of the overall fuel composition, and no correlation between prompt and TG analysis exists. Additionally, a study of trends and time correlations is indicated. These results are particularly interesting for biomass energy applications. View Full-Text

Keywords: solid biofuel; sampling methodology; uncertainty; prompt analysis; TG analysis solid biofuel; sampling methodology; uncertainty; prompt analysis; TG analysis





Autor: Jose A. Pazó 1, Enrique Granada 1,* , Ángeles Saavedra 2, Pablo Eguía 1 and Joaquín Collazo 1

Fuente: http://mdpi.com/



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