Imperial College London

Prof Amparo Galindo

Faculty of EngineeringDepartment of Chemical Engineering

Co-Director Institute for Molecular Science and Engineering
 
 
 
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Contact

 

+44 (0)20 7594 5606a.galindo

 
 
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Location

 

604Roderic Hill BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Gopinath:2016:10.1016/B978-0-444-63428-3.50017-5,
author = {Gopinath, S and Galindo, A and Jackson, G and Adjiman, CS},
doi = {10.1016/B978-0-444-63428-3.50017-5},
pages = {73--78},
publisher = {Elsevier},
title = {A feasibility-based algorithm for Computer Aided Molecular and Process Design of solvent-based separation systems},
url = {http://dx.doi.org/10.1016/B978-0-444-63428-3.50017-5},
year = {2016}
}

RIS format (EndNote, RefMan)

TY  - CPAPER
AB - Computer-aided molecular and product design (CAMPD) can in principle be used to find simultaneouslythe optimal conditions in separation processes and the structure of the optimal solvents.In many cases, however, the solution of CAMPD problems is challenging. In this paper, we proposea solution approach for the CAMPD of solvent-based separation systems in which implicitconstraints on phase behaviour in process models are used to test the feasibility of the processand solvent domains. The tests not only eliminate infeasible molecules from the search space butalso infeasible combinations of solvent molecules and process conditions. The tests also providebounds for the optimization of the process model (primal problem) for each solvent, facilitatingnumerical solution. This is demonstrated on a prototypical natural gas purification process.
AU - Gopinath,S
AU - Galindo,A
AU - Jackson,G
AU - Adjiman,CS
DO - 10.1016/B978-0-444-63428-3.50017-5
EP - 78
PB - Elsevier
PY - 2016///
SN - 1570-7946
SP - 73
TI - A feasibility-based algorithm for Computer Aided Molecular and Process Design of solvent-based separation systems
UR - http://dx.doi.org/10.1016/B978-0-444-63428-3.50017-5
UR - http://hdl.handle.net/10044/1/29962
ER -