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Comparative analysis of carbon emission monitoring methods for gas-fired units based on HJ 75—2017 and accounting guidelines
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Gongda CHEN1, Xiuxia CAI2, Hai LIN3, Weiye LU4, Xiangbo ZOU1, Fang XU5, Shuangchen MA5
Thermal Power Generation | 2024, 53(2) : 101 - 113
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Thermal Power Generation | 2024, 53(2): 101-113
Thermal energy science research
Comparative analysis of carbon emission monitoring methods for gas-fired units based on HJ 75—2017 and accounting guidelines
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Gongda CHEN1, Xiuxia CAI2, Hai LIN3, Weiye LU4, Xiangbo ZOU1, Fang XU5, Shuangchen MA5
Affiliations
  • 1.Guangdong Energy Group Science and Technology Research Institute Co., Ltd., Guangzhou 510630, China
  • 2.Guangdong Yuehua Power Co., Ltd., Guangzhou 510730, China
  • 3.Zhanjiang Customs Technical Center, Zhanjiang 524022, China
  • 4.Guangdong Institute of Special Equipment Inspection and Research Shunde Testing Institute, Foshan 528300, China
  • 5.Department of Environmental Science and Engineering, North China Electric Power University, Baoding 071003, China
Published: 2024-02-25 doi: 10.19666/j.rlfd.202306109
Outline
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Accurate carbon emissions data of gas units is one of the guarantees to ensure carbon trading. Many gas units recently installed online gas chromatography devices, so that the carbon emission is able to be real-time monitored from fuel part. For units that are not equipped with flue gas CO2 monitoring system or have no enough equipment space, conversion with flue gas O2 concentration is one of the feasible paths to monitor carbon emission from flue gas part. But whether direct measurement or conversion monitoring methods, there is still a lack of sufficient research on the deviation of continuous monitoring data from the fuel part and flue gas part. Therefore, for the gas units without capability to directly monitor flue gas CO2 in the short term, this study takes the historical data of an F-class gas-steam combined cycle unit for the simulation, and conducts continuous simulation monitoring and analysis based on the conversion with flue gas O2 concentration and online gas chromatography. It is found that there is no stable sorting rule of the monthly data and the relative deviation between different calculation methods. All the relative deviation of annual data is less than 5%. The correlation between δRD,R,fluegas-flue-h and the O2 concentration of CEMS is the highest. The deviation of carbon emission amount in the unit is mainly in the stable combustion section with a load ratio of more than 55%. In accordance with current standards or specifications, the O2 concentration of CEMS and the wet flue gas flow rate at the chimney outlet is most likely to cause the deviation of carbon emission amount from the fuel part and flue gas part. Under the existing technical specifications, the carbon emission from fuel part and flue gas part can be monitored in real time, which can be used for analysis on trend, but only the uncertainty of result from fuel part is below 5%. For gas units, the carbon emission monitored at fuel part is more appropriate, and the method monitoring the flue gas part may be more suitable for coal-fired units.

gas-fired units  /  carbon emissions  /  fuel source  /  flue gas source  /  simulation
Gongda CHEN, Xiuxia CAI, Hai LIN, Weiye LU, Xiangbo ZOU, Fang XU, Shuangchen MA. Comparative analysis of carbon emission monitoring methods for gas-fired units based on HJ 75—2017 and accounting guidelines[J]. Thermal Power Generation, 2024 , 53 (2) : 101 -113 . DOI: 10.19666/j.rlfd.202306109
  • National Key Research and Development Program(2021YFF0601001)
  • Science and Technology Project of Guangdong Energy Group Co., Ltd.(GEG/AJS-22-002)
Year 2024 volume 53 Issue 2
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Article Info
doi: 10.19666/j.rlfd.202306109
  • Receive Date:2023-06-21
  • Online Date:2025-12-31
  • Published:2024-02-25
Article Data
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History
  • Received:2023-06-21
Funding
National Key Research and Development Program(2021YFF0601001)
Science and Technology Project of Guangdong Energy Group Co., Ltd.(GEG/AJS-22-002)
Affiliations
    1.Guangdong Energy Group Science and Technology Research Institute Co., Ltd., Guangzhou 510630, China
    2.Guangdong Yuehua Power Co., Ltd., Guangzhou 510730, China
    3.Zhanjiang Customs Technical Center, Zhanjiang 524022, China
    4.Guangdong Institute of Special Equipment Inspection and Research Shunde Testing Institute, Foshan 528300, China
    5.Department of Environmental Science and Engineering, North China Electric Power University, Baoding 071003, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
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占总种数比例
Percentage of
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种数
Number of
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Percentage of total
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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