Carbon Constrained Energy Planning (CCEP) with Deployment of Carbon Capture and Storage

Carbon capture and storage (CCS) is one of the interim technologies to mitigate greenhouse gas (GHG) emissions from stationary sources such as power plants. It allows for continue utilisation of fossil fuels, which are still relatively inexpensive and reliable in comparison to inherently low-carbon renewable resources. However, retrofitting power plants for carbon capture (CC) entails major capital costs as well as reduction of thermal efficiency and power output. Thus, it is essential for planning purposes to implement the minimal extent of CC retrofit in order to meet the energy requirement and grid-wide carbon footprint targets. This paper presents an automated targeting technique which incorporates the advantages of insight-based pinch analysis technique and mathematical optimisation approach for carbon-constrained energy planning (CCEP), with the deployment of CCS. Using the newly developed model, energy planning for a country/region can be carried out by identifying the individual power plants required for retrofit. This ensures that the final carbon emission limits are met, whilst meeting the power requirements of the country/region.