Publication Detail

Bioethanol Supply Chain System Planning under Supply and Demand Uncertainties

UCD-ITS-RP-11-19

Reprint

Sustainable Transportation Energy Pathways (STEPS)

Available online at doi:10.1016/j.tre.2011.08.004

Suggested Citation:
Chen, Chien-Wei and Yueyue Fan (2011) Bioethanol Supply Chain System Planning under Supply and Demand Uncertainties. Transportation Research Part E 48 (1), 150 - 164

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.

Keywords: energy supply chain planning, stochastic programming, decomposition, cellulosic biofuel, biowastes