摘要
对某1 000 MW机组塔式炉进行了全炉膛数值模拟,对比炉膛贴壁水冷壁CO、NO和O2等气氛监测分析结果和温度场测量统计结果,确认了炉内火焰烧偏的程度.基于一种核心向量机回归算法(CVR),对从集散控制系统(DCS)中筛选的海量数据进行分析,建立了水冷壁出口温度偏差与77个运行参数之间的关系模型,验证了该模型的精确性,并依据模型制定了二次风精细配风方案.结果表明:在现场实施该方案后,有效减小了水冷壁出口温度偏差,提高了蒸汽温度品质.
To evaluate the deviation degree of unsymmetrical burning in tower boiler of a I 000 MW unit, a full-size numerical simulation was carried out, and subsequently a comparison of the CO, NO and 02 con- tent in flue gas and the temperature field around the water wall was carried out between simulation results and actual measurements. A core-vector regression (CVR) algorithm was used to analyze the huge data from the distributed control system (DCS), and the relationships between 77 operating parameters and the steam-separator tempeature deviations were modelled and verified, based on which fine distribution schemes of the secondary air were worked out. Results show that the deviation of outlet steam temperature has been effectively reduced after the application of above schemes, resulting in improved steam quality.
出处
《动力工程学报》
CAS
CSCD
北大核心
2015年第11期865-870,900,共7页
Journal of Chinese Society of Power Engineering
关键词
塔式炉
火焰烧偏
燃烧优化
二次风配风
核心向量机
数值模拟
tower boiler
unsymmetrical burning
combustion optimization
secondary air distribution
core-vector regression
numerical simulation