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Int. J. Mol. Sci. 2010, 11(5), 2118-2133; doi:10.3390/ijms11052118
Article
Heterogenic Solid Biofuel Sampling Methodology and Uncertainty Associated with Prompt Analysis
1
ETS Ingenieros Industriales, University of Vigo, Lagoas-Marcosende s/n 36200-Vigo, Spain
2
ETS Ingeniería de Minas, University of Vigo, C.P. 36310 Vigo (Pontevedra), Spain
* Author to whom correspondence should be addressed.
Received: 3 March 2010 / Accepted: 7 May 2010 / Published: 11 May 2010
(This article belongs to the Section Green Chemistry)
Abstract: Accurate determination of the properties of biomass is of particular interest in studies on biomass combustion or cofiring. The aim of this paper is to develop a methodology for prompt analysis of heterogeneous solid fuels with an acceptable degree of accuracy. Special care must be taken with the sampling procedure to achieve an acceptable degree of error and low statistical uncertainty. A sampling and error determination methodology for prompt analysis is presented and validated. Two approaches for the propagation of errors are also given and some comparisons are made in order to determine which may be better in this context. Results show in general low, acceptable levels of uncertainty, demonstrating that the samples obtained in the process are representative of the overall fuel composition.
Keywords: solid biofuel; sampling methodology; uncertainty; prompt analysis
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MDPI and ACS Style
Pazó, J.A.; Granada, E.; Saavedra, Á.; Patiño, D.; Collazo, J. Heterogenic Solid Biofuel Sampling Methodology and Uncertainty Associated with Prompt Analysis. Int. J. Mol. Sci. 2010, 11, 2118-2133.
AMA StylePazó JA, Granada E, Saavedra Á, Patiño D, Collazo J. Heterogenic Solid Biofuel Sampling Methodology and Uncertainty Associated with Prompt Analysis. International Journal of Molecular Sciences. 2010; 11(5):2118-2133.
Chicago/Turabian StylePazó, Jose A.; Granada, Enrique; Saavedra, Ángeles; Patiño, David; Collazo, Joaquín. 2010. "Heterogenic Solid Biofuel Sampling Methodology and Uncertainty Associated with Prompt Analysis." Int. J. Mol. Sci. 11, no. 5: 2118-2133.
Int. J. Mol. Sci.
EISSN 1422-0067
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