Abstract: The development and utilization of biomass energy can ease the tension of energy. For the lean development of bioenergy, it is necessary to study the optimal design of bioenergy supply chain. In considering the raw material production constraints, refinery capacity constraints, and demand satisfaction constraints, a mixed integer programming model is established to minimize the total cost of the bioenergy supply chain. It is solved by CPLEX and the refinery location, the scale of refinery, and annual production of refinery are obtained. In addition, supply relationship and distribution quality among raw material suppler, refinery and demand are determined. The effectiveness of the model is demonstrated through a numerical case study based on data of Liaoning Province. The production cost of refineries accounts for the largest proportion, about 59% of the total cost, and the transportation cost for the smallest, about 8%. The performance of the model with various prices and demands is discussed.

Key words: bioethanol, supply chain design, Liaoning Province