Pazó Jose A, Granada Enrique, Saavedra Angeles, Eguía Pablo, Collazo Joaquín
ETS Ingenieros Industriales, University of Vigo, Lagoas-Marcosende s/n 36200-Vigo, Spain; E-Mails:
Int J Mol Sci. 2010 Jul 15;11(7):2701-14. doi: 10.3390/ijms11072701.
The objective of this study was to develop a methodology for the determination of the maximum sampling error and confidence intervals of thermal properties obtained from thermogravimetric analysis (TG), including moisture, volatile matter, fixed carbon and ash content. The sampling procedure of the TG analysis was of particular interest and was conducted with care. The results of the present study were compared to those of a prompt analysis, and a correlation between the mean values and maximum sampling errors of the methods were not observed. In general, low and acceptable levels of uncertainty and error were obtained, demonstrating that the properties evaluated by TG analysis were representative of the overall fuel composition. The accurate determination of the thermal properties of biomass with precise confidence intervals is of particular interest in energetic biomass applications.
本研究的目的是开发一种方法,用于确定通过热重分析(TG)获得的热性质的最大采样误差和置信区间,这些热性质包括水分、挥发物、固定碳和灰分含量。TG分析的采样程序特别受关注且谨慎进行。将本研究的结果与即时分析的结果进行了比较,未观察到这些方法的平均值与最大采样误差之间存在相关性。总体而言,获得了低且可接受的不确定度和误差水平,表明通过TG分析评估的性质代表了整个燃料组成。在生物质能源应用中,精确确定具有精确置信区间的生物质热性质尤为重要。