Highlights ► 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.
Abstract 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.
Bioethanol supply chain system planning under supply and demand uncertainties
Transportation Research Part E: Logistics and Transportation Review ; 48 , 1 ; 150-164
2011-07-24
15 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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