000207234 001__ 207234
000207234 005__ 20180123001336.0
000207234 037__ $$a1430-2016-118685
000207234 041__ $$aen_US
000207234 245__ $$aOptimally Locating Biorefineries: A GIS-Based Mixed Integer Linear Programming Approach
000207234 260__ $$c2010-03
000207234 269__ $$a2010-03
000207234 270__ $$myxie@scsu.edu$$pXie,   Yuanchang
000207234 270__ $$mzhaokg@tamu.edu$$pZhao,   Kaiguang
000207234 270__ $$mshaunhemingway@hotmail.com$$pHemingway,   Shaun
000207234 300__ $$a15
000207234 336__ $$aConference Paper/ Presentation
000207234 520__ $$aBiofuels have recently attracted enormous attention from researcher in various disciplines. Most existing studies are focused on the biofuel production process to reduce production cost and improve efficiency. Although the cost of transporting bulky and unrefined biomass feedstock is also very significant compared to the total cost for producing biofuels, much less attention has been given to research on reducing the biomass transportation cost. This study is aimed to develop a GIS-based decision support tool for finding the best biorefinery locations to minimize the biomass transportation cost. The developed GIS tool first obtains reliable biomass distribution data from remote sensing images. Based on the biomass distribution data and other information such as transportation network, a mixed integer linear programming model is developed and integrated into the GIS tool to find the optimal locations of biorefineries. The developed GIS tool is applied to a case study in South Carolina using switchgrass as the biomass feedstock. The GIS-based framework established in the study not only provides a practical tool to inform decision-making but also serves as a versatile prototype to guide future research endeavors in biorefinery location selection and biomass transportation cost analysis.
000207234 542__ $$fLicense granted by Lisa Vang (vang1490@umn.edu) on 2015-07-31T14:54:38Z (GMT):

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000207234 650__ $$aResearch and Development/Tech Change/Emerging Technologies
000207234 650__ $$aResearch Methods/ Statistical Methods
000207234 700__ $$aXie, Yuanchang
000207234 700__ $$aZhao, Kaiguang
000207234 700__ $$aHemingway, Shaun
000207234 773__ $$d2010
000207234 8564_ $$s790741$$uhttp://ageconsearch.umn.edu/record/207234/files/2010_4_Biorefineries_GIS_Linear_Approach.pdf
000207234 887__ $$ahttp://purl.umn.edu/207234
000207234 909CO $$ooai:ageconsearch.umn.edu:207234$$pGLOBAL_SET
000207234 912__ $$nSubmitted by Lisa Vang (vang1490@umn.edu) on 2015-07-31T14:57:29Z
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  Previous issue date: 2010-03
000207234 982__ $$gTransportation Research Forum>51st Annual Transportation Research Forum, Arlington, Virginia, March 11-13, 2010
000207234 980__ $$a1430