Uncertainty Determination Methodology, Sampling Maps Generation and Trend Studies with Biomass Thermogravimetric Analysis

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), completin...

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Autores principales: Pazó, Jose A., Granada, Enrique, Saavedra, Ángeles, Eguía, Pablo, Collazo, Joaquín
Formato: Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2010
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2996784/
https://www.ncbi.nlm.nih.gov/pubmed/21152292
http://dx.doi.org/10.3390/ijms11103660
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author Pazó, Jose A.
Granada, Enrique
Saavedra, Ángeles
Eguía, Pablo
Collazo, Joaquín
author_facet Pazó, Jose A.
Granada, Enrique
Saavedra, Ángeles
Eguía, Pablo
Collazo, Joaquín
author_sort Pazó, Jose A.
collection PubMed
description 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.
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spelling pubmed-29967842010-12-08 Uncertainty Determination Methodology, Sampling Maps Generation and Trend Studies with Biomass Thermogravimetric Analysis Pazó, Jose A. Granada, Enrique Saavedra, Ángeles Eguía, Pablo Collazo, Joaquín Int J Mol Sci Article 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. Molecular Diversity Preservation International (MDPI) 2010-09-28 /pmc/articles/PMC2996784/ /pubmed/21152292 http://dx.doi.org/10.3390/ijms11103660 Text en © 2010 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland. http://creativecommons.org/licenses/by/3.0 This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Pazó, Jose A.
Granada, Enrique
Saavedra, Ángeles
Eguía, Pablo
Collazo, Joaquín
Uncertainty Determination Methodology, Sampling Maps Generation and Trend Studies with Biomass Thermogravimetric Analysis
title Uncertainty Determination Methodology, Sampling Maps Generation and Trend Studies with Biomass Thermogravimetric Analysis
title_full Uncertainty Determination Methodology, Sampling Maps Generation and Trend Studies with Biomass Thermogravimetric Analysis
title_fullStr Uncertainty Determination Methodology, Sampling Maps Generation and Trend Studies with Biomass Thermogravimetric Analysis
title_full_unstemmed Uncertainty Determination Methodology, Sampling Maps Generation and Trend Studies with Biomass Thermogravimetric Analysis
title_short Uncertainty Determination Methodology, Sampling Maps Generation and Trend Studies with Biomass Thermogravimetric Analysis
title_sort uncertainty determination methodology, sampling maps generation and trend studies with biomass thermogravimetric analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2996784/
https://www.ncbi.nlm.nih.gov/pubmed/21152292
http://dx.doi.org/10.3390/ijms11103660
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