Planning of carbon capture storage deployment using process graph approach

Carbon capture and storage (CCS) is an emerging technology to mitigate carbon dioxide (CO2) emissions from industrial sources such as power plants. However, retrofitting a power plant for carbon capture causes an increase in unit power cost due to parasitic power losses as well as capital outlays for additional process equipment. Mathematical optimisation and pinch analysis techniques have been used to systematically plan for the retrofit of power plants. In this work, the planning of power plants retrofit along with CO2 source-sink matching is analysed using process graph (P-graph) optimisation technique. CO2 sources are assumed to be characterised by fixed flowrates and operating lives; while CO2 sinks are characterised by storage capacity limits and earliest time of availability. Illustrative case studies are solved to demonstrate the approach.