In this study, a cost-effective and efficient multimodal transport
is proposed for moving bulk biomass feedstock and liquid biofuels in
the cellulosic biofuel supply chain. An integrated multistage,
mixed-integer programming model is developed that integrates
the multimodal transport into the design of an entire cellulosic
biofuel supply chain in hedging against feedstock seasonality.
The goal of the proposed model is to minimize the total annualized
system cost including the infrastructure capitals, feedstock harvesting,
biofuel production, and transportation across the entire
supply chain over a year. Key features that distinguish this study
from previous studies and enrich the literature of multimodal
transport in biofuel supply chain are at tri-fold: (1) feedstock seasonality
is factored into the cellulosic biofuel supply chain through
the multistage modeling framework; (2) multimodal transport is
integrated throughout a complete feedstock-to-end users supply
chain design; and (3) explicit transport cost estimate is included
and considers fixed cost, travel distance and time dependent costs
for three transport modes (i.e., truck, single railcar, and unit train).
The multimodal transport system will be used to support the feedstock/biofuel
flows in the supply chain to mitigate the effects of
feedstock seasonality. The proposed model will be evaluated using
an illustrative case study of designing a multimodal cellulosic ethanol
supply chain in California and demonstrate the applicability of
the model for potential economic improvement.
The reminder of the paper is organized as follows. The methods
and case study of California will be presented in Section 2. The results
and discussion will be presented in Section 3. The study will
be concluded in Section 4.
In this study, a cost-effective and efficient multimodal transportis proposed for moving bulk biomass feedstock and liquid biofuels inthe cellulosic biofuel supply chain. An integrated multistage,mixed-integer programming model is developed that integratesthe multimodal transport into the design of an entire cellulosicbiofuel supply chain in hedging against feedstock seasonality.The goal of the proposed model is to minimize the total annualizedsystem cost including the infrastructure capitals, feedstock harvesting,biofuel production, and transportation across the entiresupply chain over a year. Key features that distinguish this studyfrom previous studies and enrich the literature of multimodaltransport in biofuel supply chain are at tri-fold: (1) feedstock seasonalityis factored into the cellulosic biofuel supply chain throughthe multistage modeling framework; (2) multimodal transport isintegrated throughout a complete feedstock-to-end users supplychain design; and (3) explicit transport cost estimate is includedand considers fixed cost, travel distance and time dependent costsfor three transport modes (i.e., truck, single railcar, and unit train).The multimodal transport system will be used to support the feedstock/biofuelflows in the supply chain to mitigate the effects offeedstock seasonality. The proposed model will be evaluated usingan illustrative case study of designing a multimodal cellulosic ethanolsupply chain in California and demonstrate the applicability ofthe model for potential economic improvement.The reminder of the paper is organized as follows. The methodsand case study of California will be presented in Section 2. The resultsand discussion will be presented in Section 3. The study willbe concluded in Section 4.
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