2009
DOI: 10.1021/ef800868k
|View full text |Cite
|
Sign up to set email alerts
|

Thermal Decomposition of Wheat, Oat, Barley, and Brassica carinata Straws. A Kinetic Study

Abstract: ABSTRACT. The slow pyrolysis of four biomass samples was studied by thermogravimetry (TGA) at different heating rates. The samples belonged to different botanical classes/genera and their mineral matter content showed a high variation. A distributed activation energy model (DAEM) was used due to the complexity of the biomass samples of agricultural origin. The common features of their decomposition kinetics were sought by evaluating 12 experiments of four biomasses simultaneously by the method of least squares… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

5
88
0

Year Published

2009
2009
2022
2022

Publication Types

Select...
7
2

Relationship

3
6

Authors

Journals

citations
Cited by 77 publications
(93 citation statements)
references
References 43 publications
5
88
0
Order By: Relevance
“…The data are consistent with the literature consulted [18]. The reaction order for this fraction is close to unity, as it is accepted for this type of material [8,15,19,20].…”
Section: Discussionsupporting
confidence: 90%
“…The data are consistent with the literature consulted [18]. The reaction order for this fraction is close to unity, as it is accepted for this type of material [8,15,19,20].…”
Section: Discussionsupporting
confidence: 90%
“…The method used for the determination of -dm obs /dt does not introduce considerable systematic errors into the least squares kinetic evaluation of experimental results. 34 The model was solved numerically along the empirical temperature -time functions. The minimization of the least squares sum was carried out by a direct search method, as described earlier.…”
Section: Kinetic Evaluation By the Methods Of Least Squares And Characmentioning
confidence: 99%
“…This procedure does not introduce considerable systematic errors into the least squares kinetic evaluation of experimental results. 20 The differential equations of the model were solved numerically along the empirical temperature -time functions resulting in simulated data in the ti points of the observations.…”
Section: Methodsmentioning
confidence: 99%