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燃煤电厂CCS成本解析与协同降本范式研究OA

A cost analysis and collaborative cost-reduction framework for CCS in coal-fired power plants

中文摘要英文摘要

[目的]在全球气候治理紧迫性与煤电行业低碳转型需求的双重背景下,碳捕集与封存(carbon capture and storage,CCS)技术被视为实现电力系统深度减排的关键路径.然而,CCS 技术应用面临的高成本问题严重制约其规模化推广.本文主要针对燃煤电厂 CCS 成本优化难题开展研究.[方法]应用覆盖"捕集-压缩-运输-封存"全流程的 ITEAM-CCUS量化评估模型,整合地质碳封存评估、技术经济分析及源汇匹配优化模块,基于国内165个燃煤电厂样本,开展了系统的多参数敏感性分析,揭示了全链条成本驱动机制.[结果]研究表明,全流程CCS平准化成本均值为303元/t,其中捕集与压缩环节成本占比超过80%,是降本的关键.捕集成本受吸收剂再生热耗、煤价及电厂利用小时数影响最为显著;压缩成本与电价呈现强相关性;管道运输成本受运输距离和规模效应制约;封存成本对储层渗透系数、厚度及深度等地质参数极为敏感.[结论]基于上述量化发现,提出了一个系统性的"规模-地质-能效协同"降本范式,其路径涵盖捕集环节的低能耗技术创新、全链条的规模化基础设施共享、系统运行的精细化管控,以及碳市场联动与集群基金等政策激励.该研究可为推动煤电行业 CCS 技术的科学部署与商业化应用提供重要的理论依据与实践参考.

[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 multi-parameter 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 depth-reservoirs 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.

门东坡;姜大霖;魏宁;刘胜男

国能经济技术研究院有限责任公司,北京 100011国能经济技术研究院有限责任公司,北京 100011中国科学院武汉岩土力学研究所岩土力学与工程安全全国重点实验室,湖北 武汉 430071中国科学院武汉岩土力学研究所岩土力学与工程安全全国重点实验室,湖北 武汉 430071

燃煤电厂CCS成本敏感性降本路径ITEAM-CCUS模型

coal-fired power plantsCCScost sensitivitycost reduction pathsITEAM-CCUS model

《热力发电》 2026 (6)

28-38,11

国家能源集团2023年科技项目"新能源+储能与煤基能源+CCS/CCS的经济性比较与优化布局研究"(GJNY-23-104) China Energy National Energy Group's 2023 R&D Project"An Economic Study and Planning Framework for New Energy with Storage versus Coal-based Energy with CCS"(GJNY-23-104)

10.19666/j.rlfd.202510028

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