| 초록 |
Alternative fuels are expected to substitute fossil fuels which emits CO2 and lack of resources. Biodiesel, made from biomass, is a promising alternative to fossil fuels. However, the old generation biomass, agricultural biomass has food supply problems and ligno-cellulosic biomass has low availability and processing yield problems. The new generation biomass microalgae doesn’t have supply problems and has high biodiesel processing yield. In this study, a mathematical model that integrates CO2 capture technology with CO2 utilization technology was developed to design micro-algal biomass-to-biodiesel supply chain network (MBBSCN). The presented model can help to determine where and how much feedstock transported, and where and how refineries to be constructed with minimizing the expected total cost considering several parameters such as locations of power plants as carbon sources, potential locations of bio-refineries, and demand of biodiesel. Also, the model formulated with a two-stage stochastic programming to apply uncertainty in biodiesel demand. Moreover, the proposed model applied case study based on the Korea biodiesel market data to demonstrate the feasibility of the model. |
