摘要
搭建了石灰石—石膏法烟气脱硫新型喷淋散射塔实验台,通过响应曲面法对喷淋散射塔的脱硫性能进行了实验研究,得到了喷淋散射塔脱硫性能的预测模型。方差分析表明,该预测模型可以很好地描述脱硫效率与液气比、喷射管浸液深度、浆液中CaCO_3质量浓度以及SO_2浓度等重要参数之间的关系,R-sq值达到0.989 8。模型分析表明,喷射管浸液深度对喷淋散射塔的脱硫效率影响最大,其次是液气比,而SO_2浓度和CaCO_3质量浓度对脱硫效率影响相对较小。同时液气比与喷射管浸液深度以及喷射管浸液深度与CaCO_3质量浓度的交互作用,均对喷淋散射塔的脱硫效率有较大的影响。通过去除对脱硫效率影响较小的因素项,得到了更具典型性和易用性的改进预测模型,可以用来计算和研究喷淋散射塔的脱硫效率。
A new sprinkler scattering experimental platform for limestone gypsum flue gas desulfurization is established in this paper,and the desulfurization efficiency of the spray scattering tower is experimentally studied by response surface methodology. The prediction model of the desulfurization efficiency of the spray scattering tower is then obtained. The calculation results show that the prediction model can well describe the relationships between the important operating parameters,such as the desulfurization efficiency and the ratio of liquid to gas,the injection tube submerged height,slurry concentration of CaCO_3 and SO_2 concentration. The R-sq value reached 0.986,so the model can be used to calculate and study the efficiency of desulfurization spray tower scattering. Factor analysis showed that the penetration depth of the jet tube had the greatest influence on the desulfurization efficiency of the spray scattering tower,followed by the liquid gas ratio,and finally the SO_2 concentration and CaCO_3 mass concentration. Meanwhile,the interaction between the liquid and gas ratio and the immersion depth of the jet tube and the depth of penetration of the jet tube and the mass concentration of CaCO_3 will have an important influence on the desulfurization efficiency of the spray tower. An improved prediction model more typical and easy to use is obtained by removing the factors that have little influence on desulfurization efficiency,and it can be used to calculate and study the desulfurization efficiency of spray scatters.
作者
陈士磊
严雪南
司桐
张月
CHEN Shilei;YAN Xuenan;SI Tong;ZHANG Yue(School of Energy Power and Mechanical Engineering,North China ElectricPower University,Baoding 071003,China)
出处
《电力科学与工程》
2018年第9期32-39,共8页
Electric Power Science and Engineering
关键词
喷淋散射塔
脱硫
响应曲面法
预测模型
spray scattering tower
desulfurization
response surface method
prediction model