摘要
针对燃煤电厂超低排放机组普遍存在的空预器堵塞问题,对某600 MW燃煤机组烟气脱硝入口和出口的流场、NO_x和NH_3浓度场进行了测试。测试结果表明,流场、NO_x浓度场、NH_3浓度场和NH_3/NO_x摩尔比均存在很大的不均匀度,最大值分别达到了22.25%,82.15%,176.51%和43.94%。针对上述问题,提出了基于全截面烟气参数监测、分区域喷氨控制和大数据多层级控制的智慧脱硝技术,解决了各种复杂工况下的NH_3/NO_x摩尔比不匹配问题,实现了燃煤电厂的精细化喷氨。一方面解决了过量喷氨导致的空预器堵塞问题,另一方面为深度减排提供了技术支撑。
According to the universal blocking of air preheater used for the ultra low emission power generating units with coal,the distribution of velocity,NOx and NH3 concentration was tested at the inlet and outlet of one 600 MW power generating unit in this article. Test results show that there is obvious nonuniformity for all the field distribution of velocity,NOx,NH3 and the mole ratio of NH3 to NOx and the maximal value is reached to 22. 25%,82. 15%,176. 51% and 43. 94% respectively. According to the above problems,the intelligent denitration technology is put forward based on the full cross-section flue gas monitoring,ammonia spaying control with region division and big data combined with multi layer control,which is used to solve the mismatching of the mole ratio of NH3 to NOx and the refinement of ammonia spraying is well done. In the end,the blocking of air preheater is solved and it is also can be used as the technical support for deep denitration.
出处
《电力科技与环保》
2018年第3期19-22,共4页
Electric Power Technology and Environmental Protection
基金
江苏省科技成果转化专项资金项目(BA2016064)
关键词
燃煤电厂
超低排放
NH3/NOx摩尔比
智慧脱硝
coal fired power plants
ultra low emission
the mole ratio of NH3 to NO.
intelligent denitration