4.7 Article

An assessment of biomass torrefaction severity indexes

期刊

FUEL
卷 288, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.fuel.2020.119631

关键词

Indexes of torrefaction; Eucalyptus grandis wood; Torrefaction performance; Linear regression

资金

  1. Brazilian National Council for Scientific and Technological Development (CNPq)
  2. Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior - Brasil (CAPES) [001]
  3. Distrito Federal Research Support Foundation (FAPDF)

向作者/读者索取更多资源

This study evaluated five indexes commonly used in torrefaction research and found that the three yield property-based indexes were more effective in predicting torrefied product properties and energy performance parameters, while the two operating condition-based indexes were more effective in analyzing solid product properties.
Previous studies have quantified the efficiency of biomass torrefaction processes by proposing severity indexes to discuss the variability of thermally modified biomass properties. However, comparisons of the accuracy and applicability of those indexes are few in the literature. To fill that gap, this study sought to assess five indexes usually applied in some torrefaction studies: weight loss, index of torrefaction, torrefaction severity index, severity factor, and torrefaction severity factor. These indexes were compared to characterize torrefaction under different conditions, and their accuracy in evaluating, correlating and predicting the physical, chemical and energetical properties of torrefied eucalyptus. As a result, the five evaluated indexes presented R-2 > 0.84 andpvalues <= 0.05 when evaluating basic properties. For all five indexes, there was a statistical significance when evaluating energy performance and R-2 > 0.81. The three yield property-based indexes were more effective in predicting torrefied product properties and energy performance parameters. The two operating condition-based indexes were more effective in analyzing solid product properties than devolatilization. This work provided insight into which index is more appropriate for research and industrial applications.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据