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.

陈公达(1990—),男,湖南湘潭人,高级工程师,博士。E-mail:chengongda@geg.com.cn

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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.