[Objective] Against the dual backdrop of urgent global climate governance and low-carbon transformation demands of the coal-fired power industry

carbon capture and storage(CCS) is widely recognized as a critical pathway to deep emission reduction in the power system. However

the high cost of CCS technology has severely hindered its large-scale promotion. To address this cost optimization challenge

this study aims to systematically explore the cost-driven mechanisms of the full-chain CCS system

identify key influencing factors

and propose a targeted cost-reduction paradigm

providing theoretical and practical support for the scientific deployment and commercialization of CCS in coal-fired power plants. [Methods] This study adopted the ITEAM-CCUS quantitative evaluation model

covering the full-chain CCS and integrating three core modules: geological carbon storage assessment

techno-economic analysis

and source-sink matching optimization. A systematic multiparameter sensitivity analysis was conducted based on a sample of 165 domestic coal-fired power plants. These samples were selected to represent different regional distributions

unit capacities

and operational conditions

ensuring the generalizability and reliability of the research results. The analysis focused on key technical

economic

and geological parameters

such as absorbent regeneration heat consumption

coal price

plant utilization hours

electricity price

transportation distance

and reservoir properties. [Results] The study revealed that the average levelized cost of the full-chain CCS is 303 yuan per ton of CO2. Among the four chains

the capture and compression stages account for over 80% of the total cost

emerging as the primary focus for cost reduction. Specifically

capture cost is most significantly influenced by absorbent regeneration heat consumption

coal price

and plant utilization hours

and reducing regeneration heat consumption through technological innovation or improving plant operational efficiency can effectively lower capture costs. Compression cost shows a strong correlation with electricity price. Pipeline transportation cost is constrained by transportation distance and economies of scale. Storage cost is extremely sensitive to geological parameters such as reservoir's permeability coefficient

thickness

and depthreservoirs with higher permeability

greater thickness

and moderate depth are more conducive to reducing drilling

injection

and monitoring costs. [Conclusion] Based on the quantitative findings

this study proposes a systematic “scale-geology-energy efficiency synergy” cost-reduction paradigm. The specific pathways include technological innovation for low-energy consumption in the capture stage

large-scale infrastructure sharing across the full-chain CCS

refined operation and management of the CCS system

and policy incentives. This research clarifies CCS cost structures and driving factors

providing a feasible framework for governments

enterprises

and research institutions. It offers important theoretical and practical reference for promoting large-scale

commercial CCS application in coal-fired power plants

advancing power system decarbonization

and supporting global climate governance.