A new optimization model for carbon capture utilization and storage (CCUS) layout based on high-resolution geological variability

Abstract

Carbon capture utilization and storage (CCUS) is expected to play a pivotal role in achieving carbon-neutral pledge. However, the neglect of geological volatility in existing models will lead to obvious bias in the CCUS layout optimization results. Therefore, a new optimization model for CCUS layout is developed based on high-resolution geological variability. Finally, the model is validated by solving the optimal CCUS layout of coal-fired power plants (CFPPs) in a case region till 2060. The obtained results show that (i) To accomplish the same emission reduction targets, the total length of the pipeline network by 2060 in the scenario considering high-resolution geological variability (HGV) will decrease by 12.5% compared with the scenario without geological variability (NGV); (ii) The total crude oil production can be enhanced by about 19.0% in HGV scenario compared with NGV due to the optimized CO2 source-sink matching; (iii) Comparing with the NGV, the CCUS layout under the HGV can decrease 26.1 and 32.7 CNY/tCO2 in capital costs and O&M costs respectively, and ultimately improve the total profit by 149.4 CNY/tCO2. In summary, the proposed new model can solve the optimal CCUS layout and operation more practically and accurately.