Integrated Planning Model for Carbon Capture and Storage Systems Considering CO2 Pipeline Transportation Properties

Effective implementation of carbon capture and storage (CCS) hinges on the proper matching of the sources and sinks. In this study, we have investigated a mixed integer linear programming model for source-sink matching optimization considering hydrothermal properties of CO2 pipeline transportation. To incorporate the hydrothermal conditions into the optimization model, pressure and temperature control coefficients (K-P and K-T) are proposed and coupled. Subsequently, various operating conditions for transporting CO2 by pipeline are discussed with different combinations of pressure and temperature control coefficients, exploring the influence on the optimal source-sink matching. It is evident from the conclusions that the CO2 pipeline transportation constraints will inevitably affect optimal matching. However, considering CO2 dense phase transportation at the back-end of the supercritical CO2 pipeline transportation allows the transport temperature to drop below the critical temperature, which increases the number of effective matches, consequently increasing the amount of CO2 injected. For instance, when K-P = 1.1 and K-T = -0.15, the CO2 injection amount in the base planning region can be increased by 3.4%. It is important to implement a source-sink matching optimization analysis in combination with CO2 pipeline transportation conditions.