不同计量方法对燃气机组碳排放监测的影响分析

王健; 焦洋; 张蕾; 王华冬; 徐冬仓; 郭婷婷; 成艳亭; 叶心语; 曹蕃; 董磊; 孟凡钦; 黄忠源; 殷爱鸣; 张歆怿

doi:10.16513/j.2096-2185.DE.(2025)010-02-0081-09

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分布式能源 ›› 2025, Vol. 10 ›› Issue (2) : 81-89. DOI: 10.16513/j.2096-2185.DE.(2025)010-02-0081-09

应用技术

不同计量方法对燃气机组碳排放监测的影响分析

王健 ¹ ,
焦洋 ² ,
张蕾 ¹ ,
王华冬 ¹ ,
徐冬仓 ¹ ,
郭婷婷 ³ ,
成艳亭 ² ,
叶心语 ¹ ,
曹蕃 ² ,
董磊 ³ ,
孟凡钦 ³ ,
黄忠源 ³ ,
殷爱鸣 ³ ,
张歆怿 ³

作者信息 +

1.大唐国际发电股份有限公司北京高井热电分公司，北京市石景山区 100041

2.中国大唐集团科技创新有限公司，河北省雄安新区 071700

3.中国大唐集团科学技术研究总院有限公司，北京市石景山区 100040

作者简介:

王健（1976），男，本科，高级工程师，研究方向为热动集控，

焦洋（1994），女，博士，工程师，研究方向为火电低碳转型，1422822575@qq.com，

张蕾（1996），女，研究生，助理工程师，研究方向为燃机节能，

华冬（1970），男，本科，工程师，研究方向为燃机节能，

徐冬仓（1978），男，本科，高级工程师，研究方向为热动，

郭婷婷（1973），女，博士，教授级高级工程师，研究方向为数智能源，

成艳亭（1983），女，博士，高级工程师，研究方向为智能控制，

叶心语（1999），本科，助理工程师，研究方向为节能降耗，

曹蕃（1988），男，博士，教授级高级工程师，研究方向为数智能源，

董磊（1986），男，本科，工程师，研究方向为电厂化学与技术监督，

孟凡钦（1996），男，硕士，助理工程师，研究方向为新能源、火电碳捕集和绿色氢氨醇，

黄忠源（1986），男，博士，高级工程师，研究方向为火电碳捕集、绿色氢氨醇，

殷爱鸣（1993），女，硕士，高级工程师，研究方向为新能源、火电碳捕集和绿色氢氨醇，

张歆怿（1996），女，硕士，助理工程师，研究方向为分布式能源。

折叠

Analysis of the Influence of Different Measurement Methods on Carbon Emission Monitoring of Gas-Fired Units

Author information +

文章历史 +

摘要

燃气机组在新型电力系统中将长期发挥重要的支撑和调节作用。为推动燃气机组碳排放的精准监测，在常规碳排放计量方法的基础上，提出了基于机器学习与在线监测的数字化监测方法，以及基于电厂厂级实时信息监控系统（supervisory information system，SIS）进行在线数据与排放因子的核算方法。以某燃气机组为例，对比分析了统计期内通过4类计量方法（包括基于指南的人工核算、在线核算、基于冷干法和稀释法的在线监测以及数字化监测）所获得二氧化碳排放量的准确性。结论如下：碳排放在线核算与人工核算之间相对误差控制在1%以内，两者可互为参考，以实现厂内数据校验；稀释法和冷干法所采用的在线监测技术均能获取准确的碳排放量，但稀释法需定期校准以维持其测量精度；通过大量机组运行数据建立起来的数字化监测模型能够实现碳排放量的实时预测，其准确度较高。在缺失二氧化碳在线监测数据时，该模型仍可为机组运行提供指导，并有望推广至同类型机组。

Abstract

Gas turbine units will play an important supporting and regulating role in the new power system for a long time. Conducting precise monitoring of carbon emissions from gas turbine units can not only optimize the operation and management of these units but also support their participation in the carbon market trading. Based on the common carbon emission measurement methods （monitoring method and emission factor method）， a digital monitoring method based on machine learning and online monitoring and an online calculation method based on supervisory information system （SIS） online data and emission factors of power plants are proposed. Taking a gas unit as the research object， CO₂ emission are obtained through four measurement methods （manual accounting based on guidelines， online accounting， online monitoring based on cold and dry method and dilution method， and digital monitoring） during the statistical period. The accuracy of data from different monitoring methods is compared， and the conclusions are as follows： Carbon emission online accounting based on SIS online data and emission factor method is comparable with manual accounting CO₂ emission amount， with an error rate of less than 1%. They can be used as references to achieve internal data verification within the factory； Both dilution and cold-dry online monitoring technologies can obtain accurate carbon emission volumes， but dilution need regular calibration to maintain measurement accuracy； A digital monitoring model established by a large number of operational data of the unit achievs real-time prediction of carbon emissions with high accuracy. When online monitoring data miss， it can provide guidance for unit operation and is expected to be promoted to similar types of units.

导出引用

王健, 焦洋, 张蕾, 等. 不同计量方法对燃气机组碳排放监测的影响分析[J]. 分布式能源. 2025, 10(2): 81-89 https://doi.org/10.16513/j.2096-2185.DE.(2025)010-02-0081-09

Jian WANG, Yang JIAO, Lei ZHANG, et al. Analysis of the Influence of Different Measurement Methods on Carbon Emission Monitoring of Gas-Fired Units[J]. Distributed Energy Resources. 2025, 10(2): 81-89 https://doi.org/10.16513/j.2096-2185.DE.(2025)010-02-0081-09

中图分类号： TK29

参考文献

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Industry is a key area of energy consumption and greenhouse gas emissions in China. Due to the increasingly strict climate change regulations and the continuous rise in carbon emission costs, the demand for carbon emission management systems in industrial enterprises and parks continues to increase. With the comprehensive empowerment of advanced computing technologies such as big data, artificial intelligence, and blockchain, China’s digital carbon management technology system has basically formed. It is crucial for China to accelerate the application and promotion of digital carbon management systems and deepen their development in order to build a basic capacity for dual control over the amount and intensity of industrial carbon emissions. Starting from research on the current development situation of digital carbon management at home and abroad, this article analyzes the architecture of industrial digital carbon management system and the application of advanced computing technology. It also analyzes the hot trends of advanced computing technology empowering the development of industrial digital carbon management. Combining with the key issues faced by current application promotion, it puts forward suggestions for the development of industrial digital carbon management in China.

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