Optimizing the Lignocellulosic Biomass-to-Ethanol Supply Chain. A Case Study for the Midwestern United States

W. Alex Marvin, Lanny D. Schmidt, Saif Benjaafar, Douglas G. Tiffany, Prodromos Daoutidis

Research output: Book/ReportBook

2 Scopus citations

Abstract

A mixed integer linear programming (MILP) problem formulation is proposed to optimize the net present value of a biomass-to-ethanol supply chain. Facility locations and capacities are determined simultaneously with biomass harvest and distribution. Sensitivity analysis and robustness are performed for a 9-state region of the United States case study to elucidate the impact of price uncertainty on a burgeoning biorefinery industry that may be affected by policy. Near term technology is favored for biomass collection and conversion to ethanol.

Original languageEnglish (US)
PublisherUnknown Publisher
Number of pages5
Volume29
DOIs
StatePublished - 2011

Publication series

NameComputer Aided Chemical Engineering
Volume29
ISSN (Print)15707946

Keywords

  • Biofuel
  • Biomass
  • Ethanol
  • Mixed integer programming
  • Supply chain design

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