Study on radiation characteristics of coal fired boiler changing with burnout rate

• Published in: Fuel (Guildford) Vol. 362; p. 130883
• Main Authors: Zhang, Zixian, Chang, Ke, Si, Mengting, Luo, Zixue, Cheng, Qiang
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 15.04.2024
• Subjects: Burnout rate; Combustion detection; Radiation characteristic; User-defined functions; Combustion detection; Radiation characteristic; Burnout rate; User-defined functions
• ISSN: 0016-2361; 1873-7153
• DOI: 10.1016/j.fuel.2024.130883

•This article proposed a new pulverized coal burnout model based on porosity and changes in density ratio and diameter ratio.•Using Mie theory, Jiaozuo coal particles were calculated average absorption and scattering efficiency in the band of 0.39 ∼ 16 μm.•Particle emissivity and scattering factor were modified to polynomial model and linear model respectively through user-defined function (UDF) in simulation.•After the above correction, the temperature error between simulation and on-site measurement was reduced from 4.81% to 2.59%. The burnout rate is an important parameter in the combustion of pulverized coal. During the process of pulverized coal burnout, its radiation characteristics and the entire coal-fired boiler vary with the burnout rate, which is a very complex process and current research is not clear enough. This study proposes a new single particle pulverized coal burnout model, which incorporates pore volume correction to fit the density ratio and diameter ratio of multiple coal types with varying burnout rates as the theoretical basis. Using Mie theory, Jiaozuo coal particles are calculated average absorption and scattering efficiency in the band of 0.39 ∼ 16 μm, which is used as the basis for correcting particle emissivity and scattering factor. Then, through user defined function (UDF) in the simulation software, the particle radiation characteristics are modified from the original constants of 0.9 and 0.6 to linear and polynomial models that vary with the burnout rate. Not only do the spatial distribution rules of the coal-fired boilers radiation characteristics with the burnout rate of the furnace be obtained, but also the temperature distribution of the furnace under different particle radiation characteristics models is compared. The results show that the pulverized coal burnout model is consistent with the experimental results in literatures. High burnout rate corresponds to low mass concentration of furnace particles, and low absorption and scattering coefficients. Using the above model to calculate the particle emissivity and scattering factor that vary with the burnout rate, after UDF embedding, the error between the simulation results and the on-site cross-sectional temperature and thermal imaging detection decreases from 4.81 % to 2.59 %, reflecting the high accuracy and rationality of the burnout model and particle radiation characteristic correction method.