An optimization model for sequential fast pyrolysis facility location-allocation under renewable fuel standard

Yihua Li, Guiping Hu and Mark Mba Wright

Energy, 2015, vol. 93, issue P1, 1165-1172

Abstract: In this paper, an MILP (mixed integer linear programming) model is formulated to perform a sequential expansion planning of biofuel production system with fast pyrolysis, hydroprocessing and refining technology. Liquid transportation fuels are the major products of this renewable conversion process. The planning objective is to maximize the net present profit of the entire biofuel production system over the planning horizon. The planning horizon selected is from 2014 to 2022, the target year of the RFS2 (revised renewable fuel standard). A case study in Iowa is implemented, analyzing the sequential spatial construction decisions under a variety of processing goals. The potential of drop-in fuels production from corn stover in Iowa is examined, showing an around 40 cents per gallon profit under the optimal location-allocation planning.

Keywords: Biomass; Biofuel; Fast pyrolysis; RFS2; Mixed integer linear programming (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:93:y:2015:i:p1:p:1165-1172

DOI: 10.1016/j.energy.2015.09.090

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