针对某火力发电厂#5机组烟气脱硝与脱硫系统在线烟气监测分析仪之间氮氧化物浓度偏差原因,通过脱硝系统CEMS比对试验、总排口N O x比对试验、在线点烟气试验,分析了引起偏差的原因。认为是由于脱硝出口断面N O x浓度分布不均,脱硝A、B...针对某火力发电厂#5机组烟气脱硝与脱硫系统在线烟气监测分析仪之间氮氧化物浓度偏差原因,通过脱硝系统CEMS比对试验、总排口N O x比对试验、在线点烟气试验,分析了引起偏差的原因。认为是由于脱硝出口断面N O x浓度分布不均,脱硝A、B侧出口NOx浓度相对标准偏差分别为59.2%、67.9%,脱硝出口CEMS NOx在线监测点不具有代表性导致在线烟气监测分析仪之间氮氧化物浓度偏差。展开更多
A method based on solution of the inverse heat conduction problem was presented for online stress monitoring and fatigue life analysis of boiler drums. The mathematical model of the drum temperature distribution is ba...A method based on solution of the inverse heat conduction problem was presented for online stress monitoring and fatigue life analysis of boiler drums. The mathematical model of the drum temperature distribution is based on the assumptions that the difference of temperature along the longitudinal axis of the boiler drum is negligible with changes only in the radial direction and the circumferential direction, and that the outer surface of drum is thermaUy insulated. Combining this model with the control-volume method provides temperatures at different points on a cross-section of the drum. With the temperature data, the stresses and the life expectancy of the boiler drum are derived according to the ASME code. Applying this method to the cold start-up process of a 300 MW boiler demonstrated the absence of errors caused by the boundary condition assumptions on the inner surface of the drum and testified that the method is an applicable technique for the online stress monitoring and fatigue life analysis of boiler drums.展开更多
文摘针对某火力发电厂#5机组烟气脱硝与脱硫系统在线烟气监测分析仪之间氮氧化物浓度偏差原因,通过脱硝系统CEMS比对试验、总排口N O x比对试验、在线点烟气试验,分析了引起偏差的原因。认为是由于脱硝出口断面N O x浓度分布不均,脱硝A、B侧出口NOx浓度相对标准偏差分别为59.2%、67.9%,脱硝出口CEMS NOx在线监测点不具有代表性导致在线烟气监测分析仪之间氮氧化物浓度偏差。
基金Funded by the National Science and Technology Support Project of China (No. 2006BAA03B02-03)
文摘A method based on solution of the inverse heat conduction problem was presented for online stress monitoring and fatigue life analysis of boiler drums. The mathematical model of the drum temperature distribution is based on the assumptions that the difference of temperature along the longitudinal axis of the boiler drum is negligible with changes only in the radial direction and the circumferential direction, and that the outer surface of drum is thermaUy insulated. Combining this model with the control-volume method provides temperatures at different points on a cross-section of the drum. With the temperature data, the stresses and the life expectancy of the boiler drum are derived according to the ASME code. Applying this method to the cold start-up process of a 300 MW boiler demonstrated the absence of errors caused by the boundary condition assumptions on the inner surface of the drum and testified that the method is an applicable technique for the online stress monitoring and fatigue life analysis of boiler drums.
