电力行业碳减排与碳封存协同优化迈向碳中和

Planning the low-carbon transition pathway of the power sector to meet the carbon neutrality goal poses a signifi-cant challenge due to the complex interplay of temporal,spatial,and cross-domain factors.A novel framework is proposed,grounded in the cyber-physical-social system in energy(CPSSE)and whole-reductionism thinking(WRT),incorporating a tai-lored mathematical model and optimization method to formal-ize the co-optimization of carbon reduction and carbon seques-tration in the power sector.Using the carbon peaking and carbon neutrality transition of China as a case study,clustering method is employed to construct a diverse set of strategically distinct car-bon trajectories.For each trajectory,the evolution of the genera-tion mix and the deployment pathways of carbon capture and storage(CCS)technologies are analyzed,identifying the optimal transition pathway based on the criterion of minimizing cumula-tive economic costs.Further,by comparing non-fossil energy sub-stitution and CCS retrofitting in thermal power,the analysis high-lights the potential for co-optimization of carbon reduction and carbon sequestration.The results demonstrate that leveraging the spatiotemporal complementarities between the two can substan-tially lower the economic cost of achieving carbon neutrality,pro-viding insights for integrated decarbonization strategies in power system planning.