摘要
为对比在线监测法和排放因子法对燃煤电厂碳排放计算的异同,采用在线监测法对4组不同装机容量机组CO_(2)排放开展了时长1 a的监测,并与传统的排放因子法做了对比分析,研究不同容量、不同工况下机组碳排放特征变化规律及其影响因素,在此基础上进一步探讨了在线监测法在低碳调度等精细化管理等方面应用。研究表明:两种方法具有结果上的一致性,各机组相关系数均高于0.92,平均相对误差在±10%以内,在线监测法对燃煤机组碳排放的长期有效监测能力得到验证;不同装机容量机组的碳排放特征存在差异,大容量机组平均碳排放强度较低,1000 MW和320 MW机组碳排放强度分别为756、900 g/(kW·h);在深度调峰时大容量机组的效率会显著下降,相同负荷率下的碳排放强度甚至超过小容量机组;在保持发电总量稳定不变的前提下,通过机组间的低碳优化调度仿真分析,实现2台机组的碳排放量同步下降。碳排放在线监测数据的准确性和实时性能够揭示电力需求变化对燃煤电厂的影响,满足碳排放精细化管理的需要,为制定科学的减排策略和政策提供有力支持。
In order to compare the similarities and differences between the online monitoring method and the emission factor method for the calculation of carbon emissions from coal-fired power plants,the online monitoring method was adopted to conduct a one-year monitoring of CO_(2)emissions from four different installed capacity units.Comparative analysis was conducted with the traditional emission factor method.The study investigated the changes in carbon emission characteristics and influencing factors of units under different capacities and operating conditions,and further explored the application of online monitoring methods in refined management such as low-carbon scheduling.The study showed that the two methods have reasonable consistency,with correlation coefficients higher than 0.92 for each unit and an average relative error within±10%.The online monitoring method has been validated for its long-term effective monitoring ability of carbon emissions from coal-fired units.There were differences in the carbon emission characteristics of different installed capacity units.The average carbon emission intensity of large capacity units was lower,and the carbon emission intensity of 1000 MW and 320 MW units was 756 g/(kW·h)and 900 g/(kW·h),respectively.The efficiency of large-capacity units during deep peak adjustment will decrease significantly,and the carbon emissions intensity at the same load rate will even exceed small capacity units.Under the premise of maintaining the stable total power generation,through the low-carbon optimization scheduling strategies between the crew,the carbon emissions of the two aircraft groups decrease simultaneously.The accuracy and real-time performance of carbon emissions online monitoring data can reveal the impact of changes in power demand on coal-fired power plants,meet the needs of refined carbon emission management,and provide strong support for formulating scientific emission reduction strategies and policies.
作者
戴皓升
孔明
姚为方
钱靖
马大卫
周健
吕文君
苏阳
李鲲
DAI Haosheng;KONG Ming;YAO Weifang;QIAN Jing;MA Dawei;ZHOU Jian;LYU Wenjun;SU Yang;LI Kun(State Grid Anhui Electric Power Co.,Ltd.,Electric Power Science Research Institute,Hefei 230601,Anhui China;Anhui Xinli Electric Technology Co.,Ltd.,Hefei 230026,Anhui China;Anhui Provincial Academy of Eco-Environmental Science Research,Hefei 230061,Anhui China;Institute of Advanced Technology,University of Science and Technology of China,Hefei 230031,Anhui China)
出处
《电力科技与环保》
2025年第1期59-68,共10页
Electric Power Technology and Environmental Protection
基金
国网安徽省电力有限公司电力科学研究院科技项目“安徽电力碳排放因子精准计算及动态发布关键技术”(B3120524003F)。
关键词
燃煤电厂
碳排放强度
在线测量
排放因子法
碳排放管理
coal-fired power plants
carbon emission intensity
on-line monitoring
emission factor method
carbon management
