Biorefinery location and technology selection through supply chain optimization

W. Alex Marvin, Lanny D. Schmidt, Prodromos Daoutidis

Research output: Contribution to journalArticlepeer-review

75 Scopus citations

Abstract

This paper proposes a mixed integer linear program for determining economical biomass processing facility locations and capacities, and applies it to assess the biofuel supply chain of the Midwestern United States and the feasibility of meeting governmental biofuel mandates in 2015. Existing corn ethanol facilities and new candidate facility sites are considered for biofuel production by utilizing eight types of biomass. The spatial distribution and farmgate cost of biomass is accessed from a recently updated U.S. Department of Energy database. Seven biomass processing technologies that are expected to be commercialized in the near-term are available for construction at each candidate facility site. A detailed cash flow analysis that includes capital depreciation and taxation is embedded into the model formulation to give insights into the minimum biofuel selling price for each facility site. Equilibrium market cost for the Renewable Fuel Standard biofuel classifications (renewable fuel, advanced biofuel, and cellulosic biofuel), which is directly related to the Renewable Identification Number market price, is determined through sensitivity analysis of the delivered biofuel price.

Original languageEnglish (US)
Pages (from-to)3192-3208
Number of pages17
JournalIndustrial and Engineering Chemistry Research
Volume52
Issue number9
DOIs
StatePublished - Mar 6 2013

Fingerprint Dive into the research topics of 'Biorefinery location and technology selection through supply chain optimization'. Together they form a unique fingerprint.

Cite this