Imperial College London
Alternate

Professor Nilay Shah OBE FREng

Faculty of Engineering, Department of Chemical Engineering

Professor of Process Systems Engineering
 
 
 
//

Contact

 

+44 (0)20 7594 6621n.shah

 
 
//

Assistant

 

Miss Jessica Baldock +44 (0)20 7594 5699

 
//

Location

 

ACEX 522ACE ExtensionSouth Kensington Campus

//

Summary

 

Publications

Citation

BibTex format

@article{Kong:2017:10.1021/acs.iecr.7b00549,
author = {Kong, Q and Shah, N},
doi = {10.1021/acs.iecr.7b00549},
journal = {Industrial & Engineering Chemistry Research},
pages = {5000--5013},
title = {Development of an optimization-based framework for simultaneous process synthesis and heat integration},
url = {http://dx.doi.org/10.1021/acs.iecr.7b00549},
volume = {56},
year = {2017}
}
Download

RIS format (EndNote, RefMan)

TY  - JOUR
AB  - With the increasing attention toward renewable platform chemicals, a considerable amount of reaction pathways are being investigated for the potential of scale-up and industrialization. Heat integration, as a key feature in the field of process engineering, needs to be taken into consideration when developing preliminary reaction networks producing value-added products. In this study, we introduce an optimization-based framework for the simultaneous process synthesis and heat integration with the goal of finding the most profitable biobased platform chemical and its production pathways from a number of alternatives. A process superstructure that consists of master reaction stages and lower-level separation stages is introduced to demonstrate the theory. With a novel variable discretization approach, the problem is formulated as a mixed integer linear programming model to determine the optimal reaction pathways and separation sequences along with the heat integration cascade using simple data. The solutions to the problem reveal key information of the optimal flowsheet such as the maximum economic performance the process can achieve and the minimum cooling and heating duties required resulting from the heat integration analysis. A case study is presented to illustrate the applicability of the proposed approach.
AU  - Kong,Q
AU  - Shah,N
DO  - 10.1021/acs.iecr.7b00549
EP  - 5013
PY  - 2017///
SN  - 0888-5885
SP  - 5000
TI  - Development of an optimization-based framework for simultaneous process synthesis and heat integration
T2  - Industrial & Engineering Chemistry Research
UR  - http://dx.doi.org/10.1021/acs.iecr.7b00549
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000400802200012&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - http://hdl.handle.net/10044/1/57467
VL  - 56
ER  -
Download