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.


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    Titel :

    Bioethanol supply chain system planning under supply and demand uncertainties


    Beteiligte:
    Chen, Chien-Wei (Autor:in) / Fan, Yueyue (Autor:in)


    Erscheinungsdatum :

    2011-07-24


    Format / Umfang :

    15 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch