华中科技大学能源与动力工程学院
纸质出版:2026
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[1]张世豪,赵悦,李小姗,等.煤掺烧生物质耦合CCS电厂的碳排放核算与分析[J].热力发电,2026,55(04):53-61. DOI: 10.19666/j.rlfd.202506114.
DOI:10.19666/j.rlfd.202506114.
【目的】煤掺烧生物质耦合碳捕集与封存(carbon capture and storage
CCS)技术具有负碳排放潜力,是实现煤电低碳化改造的重要路径之一,本文旨在进一步探究该技术在企业尺度下规模化应用的碳减排潜力。【方法】从企业层面建立碳核算体系,以某350 MW煤掺烧生物质耦合CCS技术的电厂为研究对象,基于“燃烧端-CCS端”全流程,开展燃烧过程、脱硫过程、间接排放的碳核算模型优化。综合多源排放碳流分析,定量评估生物质种类、掺烧比例和碳捕集效率等因素对碳排放的影响。【结果】结果表明:秸秆掺烧较木材掺烧减排效果略优;提升掺烧比例和碳捕集效率均会导致CCS系统间接碳排放量增加;在掺烧比例低于20%和碳捕集效率80%~100%的条件下,增加生物质掺烧比例较提高碳捕集效率可获得更多的净减排收益;生物质种类、掺烧比例和碳捕集效率之间存在显著的参数耦合效应。【结论】研究结果可为发电企业制定低碳转型策略提供数据支撑和决策依据。
[Objective] Co-combustion of coal and biomass coupled with CCS technology has negative carbon emission potential
which is one of the important paths to realize the low-carbon transformation of coal power. This study aims to further explore the carbon reduction potential of this technology in enterprise-scale application. [Methods] A carbon accounting system is established at the enterprise level. Taking a 350 MW coal and biomass co-combustion plant coupled with CCS technology as the research object
the optimization of the carbon accounting model for the combustion process
desulfurization process
and indirect emission is carried out based on the whole process of “combustion end-CCS end”. The carbon flow analysis of multi-source emissions is carried out to quantitatively evaluate the impacts of biomass type
blending ratio and carbon capture efficiency on carbon emissions. [Results] The results show that straw blending has a slightly better emission reduction effect than wood blending. Increasing the blending ratio and carbon capture efficiency will increase the indirect carbon emissions of the CCS system. Under the conditions of less than 20% blending ratio and 80%~100% carbon capture efficiency
increasing the blending ratio of biomass can get more net emission reduction benefits than increasing the carbon capture efficiency. There is a significant parameter coupling effect among biomass type
blending ratio and carbon capture efficiency. [Conclusion] The results of the study provide data support and decision-making basis for power generation enterprises to formulate low-carbon transition strategies.
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