| 초록 |
In this study, a deterministic optimization approach of Carbon Capture and Storage (CCS) infrastructure network which meets the situation in China will be introduced. A mathematical model is presented to determine the adequate technology, location and amount of CO2 which should be captured, transported and sequestered, while achieving the objective of minimizing the total cost. The CCS model focuses on design and operation of a deterministic, steady-state network for constant CO2 emission. The model is formulated as a mixed-integer linear programming (MILP) problem. An example of a China case is presented to illustrate the applicability of the proposed model. The case study is conducted in order to elucidate the potential for CCS technologies to be deployed in a part of China, considering the region’s large and increasing industrial CO2 emission with effective and secure CO2 storage method, and to present a minimized costs for CO2 transport and storage. |
