Economic and environmental optimization of the biomass-to-biofuel supply chain in the midwest

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Biofuels are currently the only demonstrated replacement for liquid transportation fuel, owing largely to the expansion of the U.S. and Brazilian bioethanol industries. Biofuels have the potential to reduce petroleum imports, support domestic agriculture and forestry, and reduce greenhouse gas emissions relative to gasoline. In the U.S., the Renewable Fuels Standard (RFS) Program phases in the use of biofuels by setting annual blending mandates for renewable, advanced and cellulosic biofuels. The mandates for renewable fuel have so far been met largely by corn-based bioethanol, but cellulosic biofuel is lagging behind. For 2011, the original cellulosic biofuel mandate of 250 million ethanol-equivalent gallons was reduced by the EPA to 6 million gallons based on expected industry production. Tools are required to analyze how the industry may develop to produce the 16 billion gallons of cellulosic biofuels required by RFS in 2022. This study aims to address this issue by using computational optimization to generate robust supply chains using the real-world distribution of biomass resources, existing options for biomass collection and transportation, and proven biomass-to-biofuels technologies. The Midwest is chosen as the study region due to the abundance of biomass there and its expected importance in fulfilling the RFS mandates. Forestry and agricultural residues are included in the optimization as available biomass resources with county-level resolution. Two cellulosic biofuel technologies are allowed to compete in the study region, including co-fermentation (biochemical) and gasification Fischer-Tropsch (thermochemical). The problem is formulated as a multi-objective mixed integer linear program (MoMILP). The competing objectives are to maximize the net present value (NPV) and minimize the total greenhouse gas emissions of the whole supply chain by taking into account cash flows and emissions for biomass production, collection and transportation, biorefinery construction and operation, and biofuel sales. The effect of uncertainty in biomass availability and in economic parameters is examined by Monte Carlo sampling.

Original languageEnglish (US)
Title of host publicationComputing and Systems Technology Division - Core Programming Topic at the 2011 AIChE Annual Meeting
PublisherAIChE
Pages1060-1061
Number of pages2
Volume2
ISBN (Print)9780816910700
StatePublished - Jan 1 2011
Event2011 AIChE Annual Meeting, 11AIChE - Minneapolis, MN, United States
Duration: Oct 16 2011Oct 21 2011

Publication series

Name11AIChE - 2011 AIChE Annual Meeting, Conference Proceedings

Other

Other2011 AIChE Annual Meeting, 11AIChE
CountryUnited States
CityMinneapolis, MN
Period10/16/1110/21/11

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