2014
DOI: 10.1016/j.jtice.2013.06.009
|View full text |Cite
|
Sign up to set email alerts
|

Computational and experimental investigation of CO2 capture in gas–solid bubbling fluidized bed

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

2
9
0

Year Published

2014
2014
2024
2024

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 31 publications
(13 citation statements)
references
References 36 publications
2
9
0
Order By: Relevance
“…6(c), at the static catalyst height of 0.27m, the expansion ratio falls into the range of 1.0 to 2.7. These expansion ratios agree well with the literature data [22] since similar conditions are kept. As presented in Fig.…”
Section: Accepted Manuscriptsupporting
confidence: 91%
See 2 more Smart Citations
“…6(c), at the static catalyst height of 0.27m, the expansion ratio falls into the range of 1.0 to 2.7. These expansion ratios agree well with the literature data [22] since similar conditions are kept. As presented in Fig.…”
Section: Accepted Manuscriptsupporting
confidence: 91%
“…These results show the similar trend to the CO 2 capture in the bubbling state due to comparable flow pattern [22]. Due to the fluidization, the synergy effects in the upper section (0.55m to 0.75m ) of the reactor is improved greatly with the field synergy factor above 1.0.…”
Section: Accepted Manuscriptsupporting
confidence: 74%
See 1 more Smart Citation
“…Consequently, computational fluid dynamics (CFD) becomes an attractive and feasible method for performance analysis, design and optimization of multiphase reactors. Numerical simulations of the fluidized-bed CO 2 capture reactors with alkali metal as sorbent have been reported in the published literature [14][15][16][17]. However, CFD modeling of CO 2 capture process using solid amine sorbent is still scarce.…”
Section: Introductionmentioning
confidence: 99%
“…86 In order to better understand and evaluate the performance of 87 CO 2 adsorption process and impact of effective parameters, numer-88 ical modeling has been developed by several researchers [13][14][15]. 89 Ayobi et al [16] implemented a computational fluid dynamic acceleration (m s À2 ) C fluctuating velocity of particles (m s À1 ) C D drag coefficient of a single particle d c cluster diameter (m)…”
mentioning
confidence: 99%