(622b) Mathematical Formulation of Carbon Capture and Storage Under the Presence of Uncertainty

A large number of research works were undertaken for the planning of CO₂ Capture and Storage (CCS). CO₂ emissions are considerably difficult to be estimated clearly because CO₂ is emitted from various sources according to changing environments. In this study, a two-stage stochastic programming model is developed for planning CO₂ emissions disposing under uncertainty. The proposed CO₂ disposal network model allows us to determine where and how much the captured CO₂ to be held for storage and where to sequester the given amount of CO₂ among multiple potential candidates for the purpose of minimizing the total cost of handling demand uncertainty of CO₂. The proposed model is applied to a case study of examining the robustness in terms of handling changing environments in the context of CO₂ emissions and disposal targets of Korea in 2030. The gained results aid determining policy to plan in the budget of disposing CO₂.