摘要
环境温度、湿度的季节性波动会对空分系统的效率和制氧量产生显著的影响。为了量化评估环境温度与湿度对天津市某整体煤气化联合循环(IGCC)电站空分系统制氧功耗的影响情况,基于空分系统全年的实际运行数据,采用二元回归方法建立了空分系统单位功率制氧量的计算模型。结果表明:建立的回归模型能够准确反映温度和湿度对系统功耗的影响,模型预测结果与实际运行数据之间的相关系数R~2为0.901;在冬季,温度和湿度较低,空分系统的单位功率制氧量比夏季提高约18.78%,表明夏季的制氧功耗显著高于冬季,主要原因是冬季空气压缩机入口空气的质量流量相对较高。因此,建议在夏季进行系统运维,而在冬季保持系统稳定运行。
The seasonal fluctuation of ambient temperature and humidity has a significant impact on the efficiency and oxygen production of air separation system. To quantitatively evaluate the influence of ambient temperature and humidity on the oxygen production power consumption of an air separation system in an integrated gasification combined cycle(IGCC) power plant in Tianjin, a computational model for the oxygen production per unit power of the air separation system was established by binary regression method, based on the actual operating data of the air separation system throughout the year. Results show that, the established regression model accurately reflects the effect of temperature and humidity on system power consumption, with a high correlation coefficient(R~2) of 0.901 between the model-predicted results and the actual operation data. In winter, when the temperature and humidity are lower, the oxygen production per unit power of the air separation system is approximately 18.78% higher than that in summer, indicating that the power consumption of oxygen production in summer is significantly higher than that in winter. This is mainly due to the relatively higher air mass flow rate at the air compressor inlet in winter. Consequently, it is recommended to arrange the system operation and maintenance during summer, and maintain the stable operation during winter.
作者
穆延非
于洋
宋石磊
张波
李小宇
Mu Yanfei;Yu Yang;Song Shilei;Zhang Bo;Li Xiaoyu(School of Environment,Tsinghua University,Beijing100084,China;Huaneng(Tianjin)Coal Gasification Co.,Ltd.Tianjin300452,China;China Huaneng Clean Energy Research Institute Co.,Ltd.Beijing102209,China)
出处
《发电设备》
2024年第5期274-277,共4页
Power Equipment
基金
华能集团科技项目(HNKJ20-H57)。
关键词
IGCC
空分系统
制氧功耗
温度
湿度
二元回归
IGCC
air separation system
power consumption of oxygen production
temperature
humidity
binary regression
