University of Illinois at Urbana-Champaign, Department of Agricultural & Biological Engineering, 374 Agricultural Engineering Sciences Building, MC-644, 1304 West Pennsylvania Avenue, Urbana, IL 61801, United States.
University of Illinois at Urbana-Champaign, Department of Agricultural & Biological Engineering, 376C Agricultural Engineering Sciences Building, MC-644, 1304 West Pennsylvania Avenue, Urbana, IL 61801, United States.
Bioresour Technol. 2014 Mar;156:256-66. doi: 10.1016/j.biortech.2013.12.121. Epub 2014 Jan 8.
To ensure effective biomass feedstock provision for large-scale biofuel production, an integrated biomass supply chain optimization model was developed to minimize annual biomass-ethanol production costs by optimizing both strategic and tactical planning decisions simultaneously. The mixed integer linear programming model optimizes the activities range from biomass harvesting, packing, in-field transportation, stacking, transportation, preprocessing, and storage, to ethanol production and distribution. The numbers, locations, and capacities of facilities as well as biomass and ethanol distribution patterns are key strategic decisions; while biomass production, delivery, and operating schedules and inventory monitoring are key tactical decisions. The model was implemented to study Miscanthus-ethanol supply chain in Illinois. The base case results showed unit Miscanthus-ethanol production costs were $0.72L(-1) of ethanol. Biorefinery related costs accounts for 62% of the total costs, followed by biomass procurement costs. Sensitivity analysis showed that a 50% reduction in biomass yield would increase unit production costs by 11%.
为确保大规模生物燃料生产的有效生物质原料供应，开发了一个集成的生物质供应链优化模型，通过同时优化战略和战术规划决策，将年度生物质-乙醇生产成本降至最低。该混合整数线性规划模型优化了从生物质收获、包装、田间运输、堆放、运输、预处理和储存到乙醇生产和分配的活动范围。设施的数量、位置和容量以及生物质和乙醇的分配模式是关键的战略决策；而生物质生产、交付和运营计划以及库存监测是关键的战术决策。该模型被用于研究伊利诺伊州的芒草-乙醇供应链。基础案例结果表明，单位芒草-乙醇生产成本为 0.72 美元/升（-1）的乙醇。生物炼制相关成本占总成本的 62%，其次是生物质采购成本。敏感性分析表明，生物质产量减少 50%将使单位生产成本增加 11%。
