A supply chain network MILP model, developed by means of AIMMS software, and a process plant simulation model, developed by means of Aspen Plus®, are combined for the optimization of a biorefinery network. Optimization of the supply chain network is initially addressed using literature process and economic data. The results are used as input in the Aspen Plus® model where the technical and economic performance of the biorefineries is calculated rigorously. The two computational tools are iteratively executed until convergence on number, locations and size of the biorefineries and on process yield to products and total costs is achieved. The final results are used to perform the Economic Value and Environmental Impact (EVEI) analysis of the overall biorefinery network. The methodology is applied to a case study concerning the deployment of cereal straw in Germany to produce ethanol, ethyl levulinate and electricity. Optimization results reveal that the wheat straw supply network with four biorefineries is economically feasible and determines an environmental margin in terms of equivalent emissions savings of about 4 Mt of CO₂ per year.

通过AIMMS软件开发的供应链网络MILP模型和通过AspenPlus®开发的过程工厂模拟模型相结合，以优化生物炼油厂网络。最初使用文献过程和经济数据来解决供应链网络的优化问题。结果被用作在Aspen Plus的输入®该模型对生物精炼厂的技术和经济绩效进行了严格计算。迭代执行这两个计算工具，直到在生物精炼厂的数量，位置和大小以及产品的工艺产量和总成本达到收敛为止。最终结果用于对整个生物炼油厂网络进行经济价值和环境影响（EVEI）分析。该方法应用于有关在德国部署谷物秸秆以生产乙醇，乙酰丙酸乙酯和电力的案例研究。优化结果表明，具有四个生物精炼厂的麦草供应网络在经济上是可行的，并且以每年约4 Mt的CO ₂等效减排量来确定环境边际。