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不确定性测定方法、采样图生成及生物质热重分析的趋势研究。

Uncertainty determination methodology, sampling maps generation and trend studies with biomass thermogravimetric analysis.

机构信息

ETS Ingenieros Industriales, University of Vigo, Lagoas-Marcosende s/n 36200-Vigo, Spain; E-Mails:

出版信息

Int J Mol Sci. 2010 Sep 28;11(10):3660-74. doi: 10.3390/ijms11103660.

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.

摘要

本文研究了一种确定从热重分析(TG 分析)获得的几种木质纤维素材料(橄榄石粉、杏仁壳、松木颗粒和橡木炭颗粒)热特性的最大采样误差和置信区间的方法,补充了同一作者之前的工作。比较了 TG 分析和瞬时分析的结果。得出了不确定度和误差水平,表明 TG 分析评估的性质代表了整个燃料成分,并且瞬时分析和 TG 分析之间不存在相关性。此外,还表明需要研究趋势和时间相关性。这些结果对于生物质能源应用特别有趣。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/336b/2996784/5b2ddbd208f3/ijms-11-03660f1.jpg

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