dc.contributor.author |
Kakaras, E |
en |
dc.contributor.author |
Giannakopoulos, D |
en |
dc.date.accessioned |
2014-03-01T01:11:17Z |
|
dc.date.available |
2014-03-01T01:11:17Z |
|
dc.date.issued |
1995 |
en |
dc.identifier.issn |
0255-2701 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/11583 |
|
dc.subject |
Dry additives |
en |
dc.subject |
Flue gas desulphurization |
en |
dc.subject |
Pore-tree model |
en |
dc.subject |
Shrinking-cre model |
en |
dc.subject.classification |
Energy & Fuels |
en |
dc.subject.classification |
Engineering, Chemical |
en |
dc.subject.other |
Additives |
en |
dc.subject.other |
Calcium compounds |
en |
dc.subject.other |
Estimation |
en |
dc.subject.other |
Flue gases |
en |
dc.subject.other |
Lime |
en |
dc.subject.other |
Mathematical models |
en |
dc.subject.other |
Particles (particulate matter) |
en |
dc.subject.other |
Porosity |
en |
dc.subject.other |
Reduction |
en |
dc.subject.other |
Sulfur dioxide |
en |
dc.subject.other |
Temperature |
en |
dc.subject.other |
Calcium sulfate |
en |
dc.subject.other |
Dry additives |
en |
dc.subject.other |
Pore-tree models |
en |
dc.subject.other |
Reactants |
en |
dc.subject.other |
Shrinking-core models |
en |
dc.subject.other |
Sorbent |
en |
dc.subject.other |
Desulfurization |
en |
dc.title |
Modeling of flue gas desulphurization using dry additives |
en |
heal.type |
journalArticle |
en |
heal.identifier.primary |
10.1016/0255-2701(95)01534-5 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1016/0255-2701(95)01534-5 |
en |
heal.language |
English |
en |
heal.publicationDate |
1995 |
en |
heal.abstract |
The objective of this work is to investigate the behavior of the two main mathematical models used for the estimation of SO2 reduction with the application of the dry additive method. The shrinking-core and pore-tree models for the conversion of the reactant CaO to CaSO4 are tested for various parameters such as SO2 concentration, temperature of the flue gas, porosity and diameter of the sorbent particles. Furthermore, a comparison between the accuracy of predictions of these two models, using experimental test cases, is presented in this paper. © 1995 Elsevier Science S.A. All rights reserved. |
en |
heal.publisher |
ELSEVIER SCIENCE SA LAUSANNE |
en |
heal.journalName |
Chemical Engineering and Processing: Process Intensification |
en |
dc.identifier.doi |
10.1016/0255-2701(95)01534-5 |
en |
dc.identifier.isi |
ISI:A1995RZ07800001 |
en |
dc.identifier.volume |
34 |
en |
dc.identifier.issue |
5 |
en |
dc.identifier.spage |
421 |
en |
dc.identifier.epage |
432 |
en |