2020
DOI: 10.1016/j.fuel.2020.118069
|View full text |Cite
|
Sign up to set email alerts
|

On the suitability of thermogravimetric balances for the study of biomass pyrolysis

Abstract: In fixed-bed pyrolysis reactors, the stacking of sample particles often leads to higher yields of solid pyrolysis products (chars) than are obtained from other types of reactors. This phenomenon is particularly emphasised in thermogravimetric (TG) balances, which unlike many fixed-bed reactors, do not sweep gas through the stationary bed of pyrolysing sample.Gas is swept through the sample bed to reduce the residence time of tar vapours in close proximity to chars, which affects the extent to which these vapou… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
6
0

Year Published

2020
2020
2025
2025

Publication Types

Select...
9

Relationship

2
7

Authors

Journals

citations
Cited by 15 publications
(7 citation statements)
references
References 27 publications
1
6
0
Order By: Relevance
“…The data in Figure were acquired at a peak temperature of 300 °C and show the effect of sample mass on mass loss in a TG balance. In previous work, similar trends have been reported for cellulose at 325 and 450 °C, in addition to 300 °C. , …”
Section: Methodssupporting
confidence: 87%
See 1 more Smart Citation
“…The data in Figure were acquired at a peak temperature of 300 °C and show the effect of sample mass on mass loss in a TG balance. In previous work, similar trends have been reported for cellulose at 325 and 450 °C, in addition to 300 °C. , …”
Section: Methodssupporting
confidence: 87%
“…In previous work, similar trends have been reported for cellulose at 325 and 450 °C, in addition to 300 °C. 14,15 As explained elsewhere, 14−16 one basic drawback of TG balances is the fact that sample particles are stacked together on the sample pan. Figure 1 presents data showing that mass loss during pyrolysis experiments may be altered by changing the initial mass of sample charged to the pan.…”
Section: ■ Experimental Sectionmentioning
confidence: 99%
“…Based on the pyrolysis characteristics, pore structure (as shown in Table ), and surface chemical properties (as shown in Figure ), the pyrolysis evolution process of biomass was obtained. In addition, due to the existence of numerous parallel first-order reactions in the biomass pyrolysis process, obviously different complex reaction stages were constituted, and the chemical reaction rate changed accordingly. To accurately obtain the pyrolysis characteristics and mechanism, the kinetic parameters of different pyrolysis stages were studied using the distributed activation energy model (calculated by eq ).…”
Section: Results and Discussionmentioning
confidence: 99%
“…TGA data can be processed in different ways to estimate kinetic parameters, but are usually handled with model-free fitting techniques. In fact, determining kinetic parameters for combustion reactions by model-based fitting is a difficult task [ 71 , 72 ] and better done with isoconversional methods (e.g., model-free methods such as those based on single-step kinetics). Specially, prominent among such methods are the Kissinger–Akahira–Sunose (KAS) and Flynn–Wall–Ozawa (FWO) methods.…”
Section: Methodsmentioning
confidence: 99%