Supply chain design under uncertainty for advanced biofuel production based on bio-oil gasification
Supply chain design under uncertainty for advanced biofuel production based on bio-oil gasification
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DOI：
10.1016/j.energy.2014.07.023
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发表时间：
2014-09
期刊：
影响因子：
9
通讯作者：
Qi Li;Guiping Hu
中科院分区：
文献类型：
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作者：
Qi Li;Guiping Hu
提出了一种先进的生物燃料供应链，以降低生物质运输成本，并利用气化设施的规模经济。在这个供应链中，生物质在分布广泛的小型快速热解工厂转化为生物油，生物油气化后，合成气在集中的生物炼制厂升级为运输燃料。考虑到供应链中的不确定性，建立了一个两阶段的随机规划模型，以最大化生物燃料生产商的年利润。第一阶段做出资本投资决策，包括分散式快速热解工厂以及集中式生物炼制厂的位置和容量，而第二阶段确定生物质和生物燃料流量。基于美国爱荷华州的案例研究表明，利用玉米秸秆作为生物质原料满足需求在经济上是可行的。结果表明，快速热解装置的位置是敏感的不确定性，而能力水平是不敏感的。在随机环境中，特别是当生物量不足时，随机模型优于确定性模型。此外，农民的参与可对这一供应链的盈利能力和稳健性产生重大影响。
An advanced biofuels supply chain is proposed to reduce biomass transportation costs and take advantage of the economics of scale for a gasification facility. In this supply chain, biomass is converted to bio-oil at widely distributed small-scale fast pyrolysis plants, and after bio-oil gasification, the syngas is upgraded to transportation fuels at a centralized biorefinery. A two-stage stochastic programming is formulated to maximize biofuel producers' annual profit considering uncertainties in the supply chain for this pathway. The first stage makes the capital investment decisions including the locations and capacities of the decentralized fast pyrolysis plants as well as the centralized biorefinery, while the second stage determines the biomass and biofuels flows. A case study based on Iowa in the U.S. illustrates that it is economically feasible to meet desired demand using corn stover as the biomass feedstock. The results show that the locations of fast pyrolysis plants are sensitive to uncertainties while the capacity levels are insensitive. The stochastic model outperforms the deterministic model in the stochastic environment, especially when there is insufficient biomass. Also, farmers' participation can have a significant impact on the profitability and robustness of this supply chain.