Xiao Guozhen, Ye Qihang, Zhong Zhaoping, Jin Baosheng
Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, School of Energy and Environment, Southeast University, Nanjing 211189, China.
Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, School of Energy and Environment, Southeast University, Nanjing 211189, China.
Waste Manag. 2025 Jul;202:114814. doi: 10.1016/j.wasman.2025.114814. Epub 2025 Apr 22.
The co-combustion of sludge in coal-fired boilers, as a novel approach to sludge treatment, holds promising prospects for extensive application. The numerical simulation method is employed in this study to model the co-combustion of sludge in a 660 MW pulverized coal boiler at a power plant. By varying operational conditions, we thoroughly investigate the impact of sludge blending ratio, moisture content, and boiler load on combustion performance and pollutant emissions. The numerical investigation reveals that the impact on the boiler remains relatively insignificant when the blending ratio is below 10 %. However, surpassing a blending ratio of 10 % leads to a substantial reduction in temperature. Specifically, at a blending ratio of 20 %, there is an average temperature decrease of 9.3 K observed across each sections of the boiler. Moreover, as the blending ratio increases, there is a concurrent decline in SO and NO levels, while CO exhibits an upward trend. Increasing the moisture content will result in a reduction in boiler temperature. In comparison to sludge with a 25 % moisture content, blending sludge with a 45 % moisture content will cause an average temperature decrease of approximately 10 K within the boiler. Augmenting the moisture content will diminish the concentrations of SO and NO, while concurrently leading to an elevation in CO concentration (up to a maximum of 107.4 mg/Nm). The internal temperature and outlet pollutant concentrations both escalate as the boiler load increases. Based on this study, the optimal sludge blending ratio is determined to be 10 %, accompanied by a moisture content of 35 %.
在燃煤锅炉中共同燃烧污泥作为一种新型的污泥处理方法，具有广阔的应用前景。本研究采用数值模拟方法对某电厂一台660MW煤粉锅炉内污泥的共同燃烧进行建模。通过改变运行条件，我们深入研究了污泥掺混比、水分含量和锅炉负荷对燃烧性能及污染物排放的影响。数值研究表明，当掺混比低于10%时，对锅炉的影响相对较小。然而，超过10%的掺混比会导致温度大幅降低。具体而言，在20%的掺混比下，锅炉各部分的平均温度下降了9.3K。此外，随着掺混比的增加，SO和NO的含量同时下降，而CO呈上升趋势。增加水分含量会导致锅炉温度降低。与水分含量为25%的污泥相比，掺混水分含量为45%的污泥会使锅炉内的平均温度降低约10K。增加水分含量会降低SO和NO的浓度，同时导致CO浓度升高（最高可达107.4mg/Nm）。随着锅炉负荷的增加，内部温度和出口污染物浓度均会升高。基于本研究，确定最佳污泥掺混比为10%，水分含量为35%。
