An optimization model for a biorefinery system based on process design and logistics

Christos Galanopoulos, Aristide Giuliano, D. Barletta*, E. Zondervan

*Corresponding author for this work

Research output: Contribution to journalConference articleAcademicpeer-review

2 Citations (Scopus)

Abstract

Design of biorefineries has been often addressed by process flowsheet optimization tools without adequately considering the relevant supply chain network. In this work, an integrated optimization algorithm including the biorefinery process flowsheet structure and biobased supply chain network was developed. A superstructure of different process pathways for a biorefinery co-producing ethanol, ethyl levulinate and electricity is built on the base of up-to-date technologies. The bio-based supply chain model was implemented to address the transportation, the inventory management and the size of the biorefinery. Mixed Integer Linear Programming (MILP) was used as a modeling approach. The efficiency of the algorithm was demonstrated by applying it to a case study consisting of a wheat straw supply chain network for bioproducts demand in Germany. The algorithm reached convergence after three iterations providing a final optimal number of biorefineries distributed in different regions of the country corresponding to a maximum Net Present Value.

Original languageEnglish
Pages (from-to)265-270
Number of pages6
JournalComputer aided chemical engineering
Volume46
DOIs
Publication statusPublished - 2019
Externally publishedYes
Event29th European Symposium on Computer Aided Process Engineering, ESCAPE 2019 - Eindhoven, Netherlands
Duration: 16 Jun 201919 Jun 2019
Conference number: 29

Keywords

  • bio-based supply chain
  • biorefinery
  • MILP
  • optimization
  • superstructure

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