登录
English 
学术文献
当期目录
过刊浏览
优先出版作者中心
投稿指南
出版道德声明无数据

登录
English 
学术文献
当期目录
过刊浏览
优先出版作者中心
投稿指南
出版道德声明无数据

1. 广东能源集团科学技术研究院有限公司
2. 广东粤华发电有限责任公司
3. 湛江海关技术中心
4. 广东省特种设备检测研究院顺德检测院
5. 华北电力大学环境科学与工程系
纸质出版:2024
移动端阅览
陈公达, 蔡秀霞, 林海, 等. 基于HJ 75—2017标准与核算指南的燃气机组碳排放监测方法仿真对比分析[J]. 热力发电, 2024,53(2):101-113.
CHEN Gongda, CAI Xiuxia, LIN Hai, et al. 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.
陈公达, 蔡秀霞, 林海, 等. 基于HJ 75—2017标准与核算指南的燃气机组碳排放监测方法仿真对比分析[J]. 热力发电, 2024,53(2):101-113. DOI: 10.19666/j.rlfd.202306109.
CHEN Gongda, CAI Xiuxia, LIN Hai, et al. 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.
准确掌握燃气机组碳排放情况是保证碳交易的保障之一。不少燃气机组开始加装在线气相色谱装置,使燃料端实时监测也成为了一种可能,同时对于未加装CO_2监测系统或存在设备空间已满的机组,则通过O_2体积分数折算进行实时监测是可行路径之一。但不论采用直测还是折算监测方法,在前后端连续监测数据的偏差问题分析上,目前仍然缺乏足够的研究。因此,针对短期内不具备CO_2直测能力的机组,以某F级燃气-蒸汽联合循环发电机组历史数据为仿真对象,基于烟气O_2体积分数数据换算和燃料在线气相色谱数据进行连续仿真监测分析。结果发现:不同监测方法的月度数据之间没有一致性的大小排序关系,相对偏差有正也有负,年度数据相互偏差均小于5%;δ RD
R
fluegas-flue-h与烟囱出口烟气排放连续监测系统(continuous emission monitoring system
CEMS)O_2体积分数相关性最高;该机组的碳排放偏差主要集中在负荷率55%以上的稳燃段;烟囱出口CEMS O_2体积分数和烟囱出口CEMS湿烟气流速在满足现有定期检定要求的前提下导致前后端碳排放量偏差的可能性最大;现有技术规范下,前后端均能实现实时监测,可用于趋势分析,但只有燃料端监测方法的仿真相对扩展不确定度小于5%;对于燃气机组,从燃料端进行碳排放监测可能更加合适,而烟气端监测方法可能更适合燃煤机组。
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 O2concentration 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.
0
浏览量
107
下载量
0
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621