Abstract
This chapter develops a generic knowledge-based framework for developing flowsheets for the separation of complex mixtures. The approach relies on generating alternatives taking into account the relation between some characteristic properties of the components and the target assigned for separation, as well as the evaluation of the appropriate separation methods. The task-oriented methodology incites the application of novel techniques. The chapter describes in detail vapour and gas separations, including recent techniques based on exploiting both the size and shape properties and chemical affinities. In the field of liquid separations, the residue curve map technology is a valuable tool for getting thermodynamic insights, namely, for the separations of azeotropes. Enhanced distillation makes use of a mass separation agent, while in hybrid separations, the distillation is combined with other methods, such as liquid-liquid extraction, adsorption, crystallisation, and membranes, or even with reaction.
| Original language | English |
|---|---|
| Pages (from-to) | 345-395 |
| Number of pages | 51 |
| Journal | Computer Aided Chemical Engineering |
| Volume | 35 |
| DOIs | |
| Publication status | Published - 2014 |
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Keywords
- Azeotropic mixtures
- Enhanced distillation
- Hybrid separations
- Residue curve map
- Separation system
- Zeotropic mixtures
ASJC Scopus subject areas
- Chemical Engineering(all)
- Computer Science Applications
Cite this
Synthesis of Separation Systems. / Dimian, Alexandre C.; Bildea, Costin S.; Kiss, Anton A.
In: Computer Aided Chemical Engineering, Vol. 35, 2014, p. 345-395.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Synthesis of Separation Systems
AU - Dimian, Alexandre C.
AU - Bildea, Costin S.
AU - Kiss, Anton A.
PY - 2014
Y1 - 2014
N2 - This chapter develops a generic knowledge-based framework for developing flowsheets for the separation of complex mixtures. The approach relies on generating alternatives taking into account the relation between some characteristic properties of the components and the target assigned for separation, as well as the evaluation of the appropriate separation methods. The task-oriented methodology incites the application of novel techniques. The chapter describes in detail vapour and gas separations, including recent techniques based on exploiting both the size and shape properties and chemical affinities. In the field of liquid separations, the residue curve map technology is a valuable tool for getting thermodynamic insights, namely, for the separations of azeotropes. Enhanced distillation makes use of a mass separation agent, while in hybrid separations, the distillation is combined with other methods, such as liquid-liquid extraction, adsorption, crystallisation, and membranes, or even with reaction.
AB - This chapter develops a generic knowledge-based framework for developing flowsheets for the separation of complex mixtures. The approach relies on generating alternatives taking into account the relation between some characteristic properties of the components and the target assigned for separation, as well as the evaluation of the appropriate separation methods. The task-oriented methodology incites the application of novel techniques. The chapter describes in detail vapour and gas separations, including recent techniques based on exploiting both the size and shape properties and chemical affinities. In the field of liquid separations, the residue curve map technology is a valuable tool for getting thermodynamic insights, namely, for the separations of azeotropes. Enhanced distillation makes use of a mass separation agent, while in hybrid separations, the distillation is combined with other methods, such as liquid-liquid extraction, adsorption, crystallisation, and membranes, or even with reaction.
KW - Azeotropic mixtures
KW - Enhanced distillation
KW - Hybrid separations
KW - Residue curve map
KW - Separation system
KW - Zeotropic mixtures
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U2 - 10.1016/B978-0-444-62700-1.00009-7
DO - 10.1016/B978-0-444-62700-1.00009-7
M3 - Article
VL - 35
SP - 345
EP - 395
JO - Computer Aided Chemical Engineering
JF - Computer Aided Chemical Engineering
SN - 1570-7946
ER -