陈剑, 马大卫, 王正风, 李梓楠, 梁肖, 李方一, 李鲲, 苏阳, 吴妍. 煤电机组CO2排放原位在线监测系统研发与应用[J]. 电力科技与环保, 2022, 38(5): 423-431. DOI: 10.19944/j.eptep.1674-8069.2022.05.012
引用本文: 陈剑, 马大卫, 王正风, 李梓楠, 梁肖, 李方一, 李鲲, 苏阳, 吴妍. 煤电机组CO2排放原位在线监测系统研发与应用[J]. 电力科技与环保, 2022, 38(5): 423-431. DOI: 10.19944/j.eptep.1674-8069.2022.05.012
CHEN Jian, MA Dawei, WANG Zhengfeng, LI Zinan, LIANG Xiao, LI Fangyi, LI Kun, SU Yang, WU Yan. Development and application of on-line CO2 emission monitoring system in coal-fired power plant[J]. Electric Power Technology and Environmental Protection, 2022, 38(5): 423-431. DOI: 10.19944/j.eptep.1674-8069.2022.05.012
Citation: CHEN Jian, MA Dawei, WANG Zhengfeng, LI Zinan, LIANG Xiao, LI Fangyi, LI Kun, SU Yang, WU Yan. Development and application of on-line CO2 emission monitoring system in coal-fired power plant[J]. Electric Power Technology and Environmental Protection, 2022, 38(5): 423-431. DOI: 10.19944/j.eptep.1674-8069.2022.05.012

煤电机组CO2排放原位在线监测系统研发与应用

Development and application of on-line CO2 emission monitoring system in coal-fired power plant

  • 摘要: 煤电作为我国当前主体能源,其客观、准确的碳排放核算是国家制定碳减排政策、分配碳排放配额、实现碳交易机制高效运行的重要基础。研发了适用于煤电机组的碳排放在线监测系统,并在一台660 MW燃煤机组成功示范应用。结果表明:该机组CO2排放浓度为9.32%~15.03%,每分钟、每小时和每天实测碳排放量分别为5~8 t、265~475 t和8 099~12 121 t,碳排放量与机组发电量有关;碳排放强度为655~1377 g/(kW·h),碳排放强度与机组负荷率呈明显的负相关性,相关性系数R2=0.1512;350、600 MW下在线监测法碳排放与手工比对法相比相对误差分别是+3.9%、-2.9%,在线法与排放因子核算法之间的偏差率为11.7%~16.8%,表明在线监测的煤电机组CO2排放量计算具有较高可靠性;由于燃煤合规采制化、测点代表性直接影响两种方法间偏差,建议多点采样及测点安装在烟囱上以提高碳排放核算精准性。该系统的研发及试点机组碳排放特性分析将进一步推动碳排放在线监测技术在煤电企业的应用,为电网开展低碳调度提供参考,同时也为提升企业碳排放数据监测、管理水平和开展碳排放权交易提供技术支持。

     

    Abstract: As a main energy source in China, coal-fired power’s objective and accurate carbon emission accounting are vital for national carbon emission reduction policies making, al ocation of carbon emission quotas, and efficient operation of carbon trading mechanism. In this paper, an on-line carbon emission monitoring system for thermal power units has been developed and successful y applied to a 660MW unit. The results show that the CO2 emission concentration of the unit is 9.32 ~ 15.03%, while the measured carbon emission per minute, per hour and per day are 5 ~ 8 t, 265 ~ 475 t and 8 099 ~ 12121 t, respectively, carbon emissions related with unit power generation. The carbon emission intensity is 655 ~ 1377 g/(k W·h), which is negatively correlated with unit load with a fit coefficient R~2=0.1512. The relative errors between the on-line monitoring method and the manual comparison method are + 3.9% and-2.9%, respectively, with the loads of 350 MW and 600 MW. The deviation rate between on-line monitoring method and emission factor accounting method is 11.7% ~ 16.8%, indicating that the former has good quality. As the deviation between the two methods is directly affected by the coal-burning compliance and the representativeness of the measuring points. It is suggested to increase the sites of sampling and put the sites on the chimneys to improve the accuracy. The development of this system and the analysis of carbon emission characteristics of units wil further promote the application of carbon emission on-line monitoring technology in thermal power enterprises, and provide reference for low-carbon dispatching of power grid. Moreover, it can also support monitoring, management, and trading of carbon emissions.

     

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