کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1023740 | 941643 | 2012 | 15 صفحه PDF | دانلود رایگان |
A mixed integer stochastic programming model is established to support strategic planning of bioenergy supply chain systems and optimal feedstock resource allocation in an uncertain decision environment. The two-stage stochastic programming model, together with a Lagrange relaxation based decomposition solution algorithm, was implemented in a real-world case study in California to explore the potential of waste-based bioethanol production. The model results show that biowaste-based ethanol can be a viable part of sustainable energy solution for the future.
► We optimize bioenergy supply chains from wastes to ethanol.
► Two-stage stochastic programming is used to incorporate supply and demand uncertainties.
► The large-scale problem is solved via Lagrange relaxation based decomposition method.
► Results suggest that waste-based cellulosic ethanol can be a part of sustainable energy solution.
Journal: Transportation Research Part E: Logistics and Transportation Review - Volume 48, Issue 1, January 2012, Pages 150–164