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Supply chain design and operational planning models for biomass to drop-in fuel production
Biomass and Bioenergy
  • Leilei Zhang, Iowa State University
  • Guiping Hu, Iowa State University
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Renewable fuel is playing an increasingly important role as a substitute for fossil based energy. The US Department of Energy (DOE) has identified pyrolysis based platforms as promising biofuel production pathways. In this paper, we present a general biofuel supply chain model with a Mixed Integer Linear Programming (MILP) methodology to investigate the biofuel supply chain facility location, facility capacity at strategic levels, and biofuel production decisions at operational levels. In the model, we accommodate different biomass supplies and biofuel demands with biofuel supply shortage penalty and storage cost. The model is then applied to corn stover fast pyrolysis pathway with upgrading to hydrocarbon fuel since corn stover is the main feedstock for second generation biofuel production in the US Midwestern states. Numerical results illustrate unit cost for biofuel production, biomass, and biofuel allocation. The case study demonstrates the economic feasibility of producing biofuel from biomass at a commercial scale in Iowa.

NOTICE: This is the author’s version of a work that was accepted for publication in Biomass and Bioenergy. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Biomass and Bioenergy, 58, November (2013): doi: 10.1016/j.biombioe.2013.08.016.

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Leilei Zhang and Guiping Hu. "Supply chain design and operational planning models for biomass to drop-in fuel production" Biomass and Bioenergy Vol. 58 Iss. November (2013) p. 238 - 250
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