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主办单位:煤炭科学研究总院有限公司、中国煤炭学会学术期刊工作委员会
烟气碳排放监测数据补缺方法适用性
  • Title

    Applicability of Data Gaps Imputation Methods for MonitoringFlue Gas Carbon Emissions

  • 作者

    陈公达程国辉蔡汝金邹祥波朱旺叶骥秦士伟唐顺卢伟业

  • Author

    CHEN Gongda;CHENG Guohui;CAI Rujin;ZOU Xiangbo;ZHU Wang;YE Ji;QIN Shiwei;TANG Shun;LU Weiye

  • 单位

    广东能源集团科学技术研究院有限公司珠海经济特区广珠发电有限责任公司广东省能源集团有限公司广东省特种设备检测研究院顺德检测院

  • Organization
    Guangdong Energy Group Science and Technology Research Institute Co.,Ltd.
    Guangzhu Power Generation Co.,Ltd.of Zhuhai Special Economic Zone
    Guangdong Energy Group Co.,Ltd.
    Guangdong Instituteof Special Equipment Inspection and Research Shunde Testing Institute
  • 摘要
    烟气端碳计量技术近年来逐渐受瞩目,然而由于国内相关技术标准和体系尚待完善,该技术尚未在发电行业的正式推广应用,尤其在CO2监测数据补缺方面鲜有研究。探讨了CO2监测数据缺失时的有效补缺方法,在CO2浓度方面上对比了保持缺失段前最后有效值、基于缺省值与中位修正值的氧气换算三种补缺方法,在长周期碳排放量方面进一步增加对比了取180h内最大碳排放速率的补缺方法。研究结果显示,两机组烟气实际燃料燃烧的最大CO2体积分数在不同负荷率条件时不是固定值,且分布规律也各不同。燃煤机组的反演算最大CO2体积分数散布上下限差异约4%,在负荷率方向上总体变化小,整体反演算数据的中位值18.67%,与缺省值相差小,仅0.03%。燃气机组的反演算最大CO2体积分数在负荷率方向上变化存在两段显著差异,20%负荷率以下时,随负荷率上升而逐渐上升,20%负荷率以上时,随负荷率上升基本稳定,整体反演算数据的中位值11.38%,与缺省值差0.12%。在长周期考察中,用修正方法补缺后数据最接近于正常数据,1个月内造成的碳排放量偏差均控制在1.5t以内,从数据准确性角度看,该补缺方法有高适用性。此外,采用取180h最大值补缺的方法,虽可作为碳数据管理部门对企业的一种有效惩罚性管理手段,但长远来看,随着烟气监测法在火电行业的广泛推广,该方法可能会导致我国在国际层面的碳相关事务谈判或交易中我国火电行业的碳排放总量被高估。
  • Abstract
    In recent years, carbon measurement technology for flue gases has garnered increased attention. Nevertheless, due to the lackof comprehensive technical standards and systems in China, its formal implementation in the power generation industry remains limited,particularly concerning CO monitoring data gaps. Effective methods for addressing CO data gaps were investigated and three approacheswere compared including retaining the last valid value before the gap, data conversion using oxygen based on default and median correctionvalues, and utilizing the maximum carbon emission rate within the past 180 hours during long-term evaluations. The findings indicate thatthe maximum CO volumetric fraction in actual fuel combustion varies under different load conditions, with distinct distribution patterns.For coal- fired units, the variability in the maximum CO volumetric fraction is approximately 4%, with a median value of 18. 67%that closely aligns with the default value. In contrast, for gas-fired units, the maximum CO volumetric fraction exhibits two notable stagesof variation, with a median value of 11.38%, differing by 0.12% from the default. Long-term evaluations show that the corrected methodyields data most comparable to normal conditions, with monthly carbon emission deviations controlled within 1.5 tons, demonstrating highaccuracy and applicability. However, while the 180-hour maximum value method can serve as an effective punitive management toolfor carbon data, its widespread adoption may lead to overestimation of carbon emissions in international negotiations or transactions asflue gas monitoring becomes more prevalent in the coal-fired power sector.
  • 关键词

    碳计量碳监测火力发电烟气数据补缺

  • KeyWords

    carbon measurement;CO2 monitoring;thermal power;flue gas;data gaps imputation.

  • 基金项目(Foundation)
    国家重点研发计划资助项目课题(2021YFF0601001);广东省能源局广东省新型电力系统技术创新资助项目(1688950422168)。
  • DOI
  • 引用格式
    陈公达,程国辉,蔡汝金,等.烟气碳排放监测数据补缺方法适用性[J].洁净煤技术,2024,30(8):32-41.
  • Citation
    CHEN Gongda, CHENG Guohui, CAI Rujin, et al. Applicability of missing data imputation methods for monitoringflue gas carbon emissions[J].Clean Coal Technology,2024,30(8):32-41.
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