Abstract

The logistics required to supply biomass feedstock to a refinery is crucial to the development of the cellulosic biofuel industry because of the importance of the quality and quantity and bulky nature associated with cellulosic feedstock to the biofuel conversion process. In addition, the potential social and environmental impact of biomass feedstock transportation has also received increasing attention due to the expansion of truck traffic on the current road system. This study applies a spatial-oriented mixed-integer mathematical programming model linked to a GIS resource model to generate a least cost solution of a typical feedstock harvest and logistic system for a potential biorefinery with the capacity of 50 million gallons per year. Moreover, U.S. EPA’s MOVES2010a was used to estimate the baseline emissions for 2010 with national scale option in study region and additional emissions generated from hauling those feedstock with project scale option. Results showed that the transportation cost accounted for nearly one-quarter of total plant gate costs of the large round bales. Also, it was estimated that the biorefinery received about 50,000 truckloads per year, hence creating annually 100,000 truck trips (or 274 truck trips per day) on the road linking the entrance of the biorefinery to the supply regions. The overall VMT increase resulting from additional feedstock truck traffics was 3.7 million miles and the emissions of NOX, CO2, PM10, and PM2.5 emissions increased by 0.32%, 0.13%, 0.60%, and 0.71%, respectively, in these 13 counties studied when compared with the overall baseline emissions.

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