Literature DB >> 16719086

Modeling switchgrass derived cellulosic ethanol distribution in the United States.

William R Morrow1, W Michael Griffin, H Scott Matthews.   

Abstract

Discussions of alternative fuel and propulsion technologies for transportation often overlook the infrastructure required to make these options practical and cost-effective. We estimate ethanol production facility locations and use a linear optimization model to consider the economic costs of distributing various ethanol fuel blends to all metropolitan areas in the United States. Fuel options include corn-based E5 (5% ethanol, 95% gasoline) to E16 from corn and switchgrass, as short-term substitutes for petroleum-based fuel. Our estimates of 1-2 cents per L of ethanol blend for downstream rail or truck transportation remain a relatively small fraction of total fuel cost. However, for even the relatively small blends of ethanol modeled, the transportation infrastructure demands would be comparably larger than the current demands of petroleum. Thus if ethanol is to be competitive in the long run, then in addition to process efficiency improvements, more efficient transportation infrastructure will need to be developed, such as pipelines. In addition to these results, national and regional policy challenges on how to pay for and optimize a new fuel and distribution infrastructure in the United States are discussed.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 16719086     DOI: 10.1021/es048296m

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  3 in total

1.  Multi-scale process and supply chain modelling: from lignocellulosic feedstock to process and products.

Authors:  Seyed Ali Hosseini; Nilay Shah
Journal:  Interface Focus       Date:  2011-02-02       Impact factor: 3.906

2.  A plastome primer set for comprehensive quantitative real time RT-PCR analysis of Zea mays: a starter primer set for other Poaceae species.

Authors:  Richard M Sharpe; Sade N Dunn; A Bruce Cahoon
Journal:  Plant Methods       Date:  2008-06-02       Impact factor: 4.993

3.  A spatially explicit whole-system model of the lignocellulosic bioethanol supply chain: an assessment of decentralised processing potential.

Authors:  Alex J Dunnett; Claire S Adjiman; Nilay Shah
Journal:  Biotechnol Biofuels       Date:  2008-07-28       Impact factor: 6.040

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.