An integrated methodology for the economic and environmental assessment of a biorefinery supply chain

Christos Galanopoulos, Aristide Giuliano, Diego Barletta*, Edwin Zondervan

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

4 Citations (Scopus)

Abstract

A supply chain network MILP model, developed by means of AIMMS software, and a process plant simulation model, developed by means of Aspen Plus®, are combined for the optimization of a biorefinery network. Optimization of the supply chain network is initially addressed using literature process and economic data. The results are used as input in the Aspen Plus® model where the technical and economic performance of the biorefineries is calculated rigorously. The two computational tools are iteratively executed until convergence on number, locations and size of the biorefineries and on process yield to products and total costs is achieved. The final results are used to perform the Economic Value and Environmental Impact (EVEI) analysis of the overall biorefinery network. The methodology is applied to a case study concerning the deployment of cereal straw in Germany to produce ethanol, ethyl levulinate and electricity. Optimization results reveal that the wheat straw supply network with four biorefineries is economically feasible and determines an environmental margin in terms of equivalent emissions savings of about 4 Mt of CO2 per year.

Original languageEnglish
Pages (from-to)199-215
Number of pages17
JournalChemical Engineering Research and Design
Volume160
DOIs
Publication statusPublished - Aug 2020
Externally publishedYes

Keywords

  • Ethanol
  • Ethyl levulinate
  • EVEI
  • Lignocellulosic biorefinery
  • Optimization
  • Process simulation
  • Supply chain

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