Managing Expected Switchgrass Biomass Yield Variability by Strategically Se...

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英文文献：Managing Expected Switchgrass Biomass Yield Variability by Strategically Selecting Land to Lease-管理预期柳枝稷生物量产量变化，战略选择土地租赁
英文文献作者：Debnath, Deepayan,Stoecker, Arthur L.,Epplin, Francis M.
英文文献摘要：
Biorefineries that plan to use switchgrass exclusively will have to account for year-to-year variability in feedstock production. The objective of this research is to determine the quantity, class, and location of land to lease for switchgrass production to provide for the needs of a biorefinery. The firm could elect to lease land based on average switchgrass yields or to lease to attempt to insure that even in the worst case (based on historical data) production year the area leased will produce sufficient feedstock to fully provide for the needs of the biorefinery. EPIC was used to generate empirical distributions of switchgrass biomass yields for three land classes for each of 30 counties. Mathematical programming was used to address the objectives and to determine the tradeoff between quantity of land to lease and the daily cost of idling the biorefinery. Leasing sufficient land to ensure adequate feedstock in every state of nature increases the land requirement by 21% and delivered feedstock cost by 7%.

计划只使用柳枝稷的生物精炼厂必须考虑到每年原料生产的变化。本研究的目的是确定租用柳枝稷生产的土地的数量、类别和位置，以满足生物精炼厂的需要。公司可以根据柳枝稷的平均产量选择租赁土地，或者试图租赁土地，以确保即使在最坏的情况下(根据历史数据)，租赁的地区也能生产足够的原料，完全满足生物精炼厂的需求。利用EPIC对30个县中每一个县的三个土地类别的柳枝稷生物量的经验分布进行了研究。数学规划用于解决这些目标，并确定土地租赁数量和闲置生物精炼厂的每日成本之间的权衡。租赁足够的土地以确保在每种自然状态下都有足够的原料，这将增加21%的土地需求和7%的原料交付成本。

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