Two-Stage Stochastic Programming Model for Planning CO2 Utilization and Disposal Infrastructure Considering the Uncertainty in the CO2 Emission

Numerous research works have been undertaken to plan carbon capture and storage (CCS) infrastructures for CO 2 utilization and disposal. CO 2 emissions are difficult to estimate precisely, because CO 2 is emitted from various sources at varying rates. In this study, a two-stage stochastic programming model is developed for planning CCS infrastructure including CO 2 utilization and disposal under stochastic CO 2 emissions. The proposed model considers uncertainties in the variation of CO 2 emissions. It can help determine where and how much CO 2 to capture, store, transport, utilize, or sequester for the purpose of maximizing the total profit of handling uncertain CO 2 emissions while meeting the CO 2 mitigation target. The capability of the proposed model to provide correct decisions despite changing CO 2 emissions is tested by applying it to an industrial complex on the eastern coast of Korea in 2020. The results will help to determine planning of, and budgeting for, development of a CCS infrastructure.