Under carbon peak and carbon neutrality goals,the Yangtze River Delta region faces emission reduction pressures.Deployment of Carbon Capture,Utilization,and Storage(CCUS)projects are crucial for ensuring energy security in the Yangtze River Delta region and achieving the net-zero ambition.CCUS projects faces multiple uncertainties.However,most of the previous research were focused on CCUS source-sink matching with mixed-integer linear programming method.Changes of emission sources,development of technologies and policies were ignored.This may lead to the deviations between the planning results and real-world case.Therefore,a CCUS source-sink matching model was developed based on interval fuzzy chance-constrained programming methods under uncertainties.A Yangtze River Delta case study will be applied to explore risk management and policy-making decisions.Results show that,for Yangtze River Delta region,the total cost of CCUS projects will be higher than that of deterministic models;when the constraint-violation probability for reduction demands is 40％,the total cost of CCUS projects is the lowest,38.5％of plants have a levelized cost of emission reduction below 30 $/t CO2,and the total mitigation potential will be 5.69 Gt CO2.Hence,exploring CCUS source-sink matching deployment plans under multiple uncertainties is critical for exploring the tradeoff of risks and benefits.
carbon capture utilization and storage(CCUS)Yangtze River Delta regionfuzzy chance constraintsource-sink matchinglayoutrisk management
维普
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