摘要
为提高碳排放核算的准确性,使企业评估碳减排效果更加直观,提出将电厂发电量与碳排放强度相关联。首先,基于Aspen Plus对燃气-蒸汽联合循环机组进行建模分析,计算其碳排放绩效;然后,从机组负荷、环境温度、热网投入和天然气成分4个影响因素分别对碳排放绩效进行分析。结果表明,建立的Aspen Plus模型能准确模拟电厂运行,以某电厂S106FA多轴燃气-蒸汽联合循环机组为例,经计算碳排放绩效为342.66 g/(kW·h)。采用碳排放绩效对比实测法与排放因子法对碳排放进行计算,碳排放绩效核算碳排放量更贴近实测法计算结果,碳排放绩效法与实测法核算偏差在0.20%。排放因子法采用实测法低位发热量和省缺值低位发热量与实测法偏差分别为5.24%和19.66%;机组负荷对联合循环机组碳排放绩效影响最为显著,其次为热网投入、环境温度和天然气成分。为降低联合循环机组碳排放绩效,电厂需要合理安排调峰时间和热网供热,可以考虑使用可再生能源作为替代或补充燃料。
To improve the accuracy of carbon emission accounting and make the effect of carbon emission reduction more intuitive,it is proposed to associate power plant generation with carbon emission intensity.Firstly,the carbon emission performance of the gas-steam combined cycle unit is calculated based on Aspen Plus.Then,the carbon emission performance is analyzed from the aspects of four influencing factors:unit load,environmental temperature,heat network input and natural gas composition.The results show that,the established Aspen Plus model can simulate the operation of the power plant accurately.Taking the S106FA multi-axis gas-steam combined cycle unit of a power plant as an example,the calculated carbon emission performance is 342.66 g/(kW·h).The carbon emission is calculated by comparing the measured method and the emission factor method.The carbon emission performance accounting is closer to the measured method,and the deviation between the carbon emission performance method and the measured method is 0.20%.The deviation between the measured method and the emission factor method applying the measured low calorific value and the saved and deficient low calorific value are 5.24%and 19.66%,respectively.Unit load has the most obvious effect on carbon emission performance of the combined cycle unit,followed by heat network input,ambient temperature and natural gas composition.To reduce the carbon emission performance of the combined cycle unit,the power plant needs to arrange the peak regulation time and heat network heating reasonably,and using renewable energy as an alternative or supplementary fuel can be considered.
作者
孙天祥
刘松涛
曹悦
陈传敏
贾文波
李朋
周卫青
SUN Tianxiang;LIU Songtao;CAO Yue;CHEN Chuanmin;JIA Wenbo;LI Peng;ZHOU Weiqing(Department of environmental Science and Engineering,North China Electric Power University(Baoding),Baoding 071003,China;Jibei Electric Power Research Institute,State Grid Jibei Electric Power Co.,Ltd.,Beijing 100045,China)
出处
《热力发电》
CAS
CSCD
北大核心
2024年第10期114-121,共8页
Thermal Power Generation
基金
国家电网有限公司科技项目(1400-202214404A-2-0-ZN)。