摘要
Abstract
For obtaining better empirical correlation for predicting boiler NO, emission concentration, based on on-line operation data and the measurements of NO, emission concentration from the boiler, by using multi-variable linear regression method, the correlations between NO. Emission concentration and the main operational parameters of in a 300 MW boiler were analyzed. Hie research results show that the effects of unit load, oxygen content and burners heat load on the NOZ emission concentration were very remarkable, which were the main reasons affected the NO, emission concentration. The empirical correlation for predicting boiler NO, emission concentration was established. The difference between the predicted NO, emission concentrations and the measured values was mostly within the range of 10%. The results show that the empirical correlation for predicting boiler NO, emission concentration has a promising future in NO, combustion optimal control.关键词
煤粉锅炉/机组负荷/磨煤机运行组合/氧量/燃烧器/运行数据/在线测量/NOx排放Key words
pulverized coal-fired boiler/ unit load/ mill groups in service/ oxygen content/ burner/ operation data/ on-line measurement/ NO, emission分类
资源环境
