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{Panteli:2018:10.1021/acs.iecr.7b05228,
author = {Panteli, A and Giarola, S and Shah, N},
doi = {10.1021/acs.iecr.7b05228},
journal = {Industrial & Engineering Chemistry Research},
pages = {9849--9865},
title = {Supply chain mixed integer linear program model integrating a biorefining technology superstructure},
url = {http://dx.doi.org/10.1021/acs.iecr.7b05228},
volume = {57},
year = {2018}
}
Download

RIS format (EndNote, RefMan)

TY  - JOUR
AB  - A crucial element of the quest of curbing carbon dioxide emissions is deemed to rely on a biobased economy, which will rely on the development of financially sustainable biorefining systems enabling a full exploitation of lignocellulosic biomass (and its macrocomponents such as cellulose, hemicellulose, and lignin) for the coproduction of biofuels and bioderived platform chemicals. In this work, a general modeling framework conceived to steer decision-making regarding the strategic design and systematic planning of advanced biorefining supply networks is presented. The design task is formulated as a mixed integer linear program which accounts for the maximization of the supply chain profit, considering multiechelon, multiperiod, multifeedstock, and multiproduct aspects as well as spatially explicit features. The applicability of the proposed model, along with the use of a bilevel decomposition approach, are demonstrated with a case study of lignocellulose-based biorefining production systems in the South-West of Hungary. Results show the effectiveness of the tool in the decision-making regarding the systematic design of advanced biorefining SC networks. An economic analysis of different design configurations (i.e., centralized and distributed scenarios) through a holistic evaluation of the entire biobased SC, integrating technology superstructure, shows that both instances generate profitable investment decisions that could be equally trusted by the decision-maker unless regional restrictions are applied.
AU  - Panteli,A
AU  - Giarola,S
AU  - Shah,N
DO  - 10.1021/acs.iecr.7b05228
EP  - 9865
PY  - 2018///
SN  - 0888-5885
SP  - 9849
TI  - Supply chain mixed integer linear program model integrating a biorefining technology superstructure
T2  - Industrial & Engineering Chemistry Research
UR  - http://dx.doi.org/10.1021/acs.iecr.7b05228
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000440876800011&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - http://hdl.handle.net/10044/1/61892
VL  - 57
ER  -
Download