Young Kim1, Choamun Yun1, Sunwon Park1, and L. T. Fan2. (1) Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea, (2) Department of Chemical Engineering, Kansas State University, 1005 Durland Hall, Manhattan, KS 66506
Biorefineries have been increasingly gaining interest as an alternative to oil refineries. The former produces fuels and chemicals from biomass, which is renewable, and the latter from petroleum, which is not renewable. The consumption of fuels and chemicals from biomass appears to be the only legitimately viable means of reducing CO2 release to the atmosphere, thereby minimizing global warming. Unlike the majority of oil refineries, the raw materials, i.e., feedstock, for a typical biorefinery tends to come from wide-ranging sources, which must be pretreated differently. This poses a unique set of challenges in configuring the sustainable supply-chain network, or simply supply network, for the feedstock to the biorefinery. To meet such challenges, a highly robust and efficient method has been developed to design or synthesize the optimal and alternative supply networks for the biorefinery. The method's efficacy is demonstrated by applying it to a realistic example.