Bioethanol supply chain system planning under supply and demand uncertainties |
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Authors: | Chien-Wei Chen |
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Institution: | a Institute of Transportation Studies, University of California, Davis, CA 95616, United States b Department of Civil and Environmental Engineering, University of California, Davis, CA 95616, United States |
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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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Keywords: | Energy supply chain planning Stochastic programming Decomposition Cellulosic biofuel Biowastes |
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