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Supply chain mixed integer linear program model integrating a biorefining technology superstructure

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Title: Supply chain mixed integer linear program model integrating a biorefining technology superstructure
Authors: Panteli, A
Giarola, S
Shah, N
Item Type: Journal Article
Abstract: 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.
Issue Date: 1-Aug-2018
Date of Acceptance: 31-May-2018
URI: http://hdl.handle.net/10044/1/61892
DOI: https://dx.doi.org/10.1021/acs.iecr.7b05228
ISSN: 0888-5885
Publisher: American Chemical Society
Start Page: 9849
End Page: 9865
Journal / Book Title: Industrial & Engineering Chemistry Research
Volume: 57
Issue: 30
Copyright Statement: © 2018 American Chemical Society. This document is the Accepted Manuscript version of a Published Work that appeared in final form in Industrial & Engineering Chemistry Research, after peer review and technical editing by the publisher. To access the final edited and published work see https://dx.doi.org/10.1021/acs.iecr.7b05228
Sponsor/Funder: Commission of the European Communities
Funder's Grant Number: PITN-GA-2013-607415
Keywords: Science & Technology
Technology
Engineering, Chemical
Engineering
DECOMPOSITION ALGORITHM
ECONOMIC OPTIMIZATION
BIOFUEL PRODUCTION
MILP MODEL
BIOMASS
DESIGN
BIOENERGY
SELECTION
NETWORKS
SYSTEM
09 Engineering
03 Chemical Sciences
Chemical Engineering
Publication Status: Published
Conference Place: Barcelona, Spain
Online Publication Date: 2018-05-31
Appears in Collections:Faculty of Engineering
Centre for Environmental Policy
Chemical Engineering
Faculty of Natural Sciences



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