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

@article{Burger:2015:10.1002/aic.14838,
author = {Burger, J and Papaioannou, V and Gopinath, S and Jackson, G and Galindo, A and Adjiman, CS},
doi = {10.1002/aic.14838},
journal = {AIChE Journal},
pages = {3249--3269},
title = {A hierarchical method to integrated solvent and process design of physical CO<inf>2</inf> absorption using the SAFT-γ Mie approach},
url = {http://dx.doi.org/10.1002/aic.14838},
volume = {61},
year = {2015}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - Molecular-level decisions are increasingly recognized as an integral part of process design. Finding the optimal process performance requires the integrated optimization of process and solvent chemical structure, leading to a challenging mixed-integer nonlinear programming (MINLP) problem. The formulation of such problems when using a group contribution version of the statistical associating fluid theory, SAFT-γ Mie, to predict the physical properties of the relevant mixtures reliably over process conditions is presented. To solve the challenging MINLP, a novel hierarchical methodology for integrated process and solvent design (hierarchical optimization) is presented. Reduced models of the process units are developed and used to generate a set of initial guesses for the MINLP solution. The methodology is applied to the design of a physical absorption process to separate carbon dioxide from methane, using a broad selection of ethers as the molecular design space. The solvents with best process performance are found to be poly(oxymethylene)dimethylethers.
AU - Burger,J
AU - Papaioannou,V
AU - Gopinath,S
AU - Jackson,G
AU - Galindo,A
AU - Adjiman,CS
DO - 10.1002/aic.14838
EP - 3269
PY - 2015///
SN - 0001-1541
SP - 3249
TI - A hierarchical method to integrated solvent and process design of physical CO<inf>2</inf> absorption using the SAFT-γ Mie approach
T2 - AIChE Journal
UR - http://dx.doi.org/10.1002/aic.14838
UR - http://hdl.handle.net/10044/1/24578
VL - 61
ER -