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A CFD simulation for collaborative removal of particulate matter in a 2-tandem FGD absorber
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摘要: 对两级串塔脱硫系统的颗粒物协同脱除效果进行了数值模拟计算，建立了基于扩散、拦截及惯性撞击作用的液滴捕集模型，采用分段法、除雾器子模型和整体计算的方法，分析了预洗塔和吸收塔内的气液固三相流动，并对除雾器及整个脱硫塔的粉尘捕集效率进行了详细计算。结果表明：预洗塔和吸收塔本身能够有效地去除烟气中的粉尘颗粒，在除尘器出口粉尘浓度50 mg/m3的情况下，脱硫塔出口粉尘浓度降到2.8 mg/m3。吸收塔出口由于逃逸的石膏浆液导致的固体浓度为1.83 mg/m3，经综合计算其可以达到超低排放的标准。可以看出，由于浆液液滴逃逸占固体颗粒物排放的比例为40%，需要选择高效除雾器降低浆液的逃逸量才能保证排放水平。研究为湿法脱硫系统的优化设计和运行提供了参考依据。Abstract: This paper numerically simulated the collaborative removal of particulate matter of a 2-tandem FGD absorber system， established a droplet capture model based on diffusion， interception， and inertial impact effects， and used the methods of segmentation， ME sub-model， and whole absorber calculation， to analyze the gas-liquid-solid three-phase flow and capture efficiencies in the pre-absorber and absorber. The results showed that the pre-absorber and absorber could effectively remove dust from the flue gas. When the dust concentration at the outlet of the dust collector was 50 mg/m3， the dust concentration at the absorber outlet could be reduced to 2.8 mg/m3. The solid concentration at the outlet of the absorber caused by escaping gypsum was 1.83 mg/m3； through comprehensive calculation， it was proved to meet the ultra-low emission standard. The liquid droplets had a great impact on the solid particle emission， and an efficient ME value was needed to ensure the emission level. This paper provides a reference for the optimization design and operation of wet desulfurization systems.
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[1] WEI H G，YE W P，CHAI L，et al. Analysis of dust removal effect and improvement measures of wet desulfurization system［J］. China Electric Power，2015，48（8）：33-36. 魏宏鸽，叶伟平，柴磊，等． 湿法脱硫系统除尘效果分析与提效措施［J］． 中国电力，2015，48（8）：33-36． [2] WANG D G，ZHU F H，YI Y P，et al. Study on the removal effect of particulate matter by wet desulfurization system based on actual measurement［J］. Environmental Monitoring Management and Technology，2015，27（5）：21-25. 王东歌，朱法华，易玉萍，等． 基于实测的湿法脱硫系统对颗粒物去除效果的研究［J］． 环境监测管理与技术，2015，27（5）：21-25． [3] WANG H，SONG Q，YAO Q，et al. Experimental study on removal of fine particles from flue gas by wet desulfurization system in power plant［J］. Proceedings of the CSEE，2008，28（5）：1-7. 王珲，宋蔷，姚强，等. 电厂湿法脱硫系统对烟气中细颗粒物脱除作用的实验研究［J］. 中国电机工程学报，2008，28（5）：1-7. [4] JIA X Q，WEN J P，FENG W. Local hydrodynamics modeling of a gas-liquid-solid three-phase airlift loop reactor［J］. Industrial& Engineering Chemistry Research，2007，46（24）：5210-5220. [5] MAJID A，YAN C Q，SUN Z N，et al. CFD simulation of dust particle removal efficiency of a venturi scrubber in CFX［J］. Nuclear Engineering and Design，2013，256：169-177. [6] WU Y F，CHEN J H，JIANG J K，et al. Particle size distribution characteristics of fine particulate matter emissions from coal-fired power plants［J］. Research of Environmental Sciences，2017，30（8）：1266-1275. 武亚凤，陈建华，蒋靖坤，等． 燃煤电厂细颗粒物排放粒径分布特征［J］． 环境科学研究，2017，30（8）：1266-1275． [7] JIAN F A. 3-mode parameterization of below-cloud scavenging of aerosols for use in atmospheric dispersion models［J］. Atmospheric Environment，2007，41（32）：6808-6822. [8] CHATE D M，MURUGAVEL P，ALI K S，et al. Below-cloud rain scavenging of atmospheric aerosols for aerosol deposition models［J］. Atmospheric Research，2011，99：528-536. [9] SPORTISSE B. A review of parameterizations for modelling dry deposition and scavenging of radionuclides［J］. Atmospheric Environment，2007，41（13）：2683-2698. [10] JIANG N，LI X F，GE C L，et al. Numerical simulation of gas-liquid two-phase flow for deep dust removal in desulfurization absorption tower［J］. Journal of Zhejiang Electric Power，2021，40（6）：103-108. 蒋楠，厉雄峰，葛春亮，等. 脱硫吸收塔深度除尘气液两相流数值模拟研究［J］. 浙江电力，2021，40（6）：103-108. [11] GE C L，JIANG N，LIU W J，et al. Simulation study on gas-liquid-solid three-phase flow for deep dust removal in desulfurization absorption tower［J］. Journal of Thermal Power Generation，2021，50（4）：103-108. 葛春亮，蒋楠，刘文榉，等． 脱硫吸收塔深度除尘气液固三相模拟研究［J］． 热力发电，2021，50（4）：103-108． [12] GUO J，YANG D，YE K，et al. Mechanism of collaborative dust removal in wet desulfurization and selection of ultra-low emission technology route［J］. Electric Power Science and Technology and Environmental Protection，2017，33（6）：1-6. 郭俊，杨丁，叶凯，等． 湿法脱硫协同除尘机理及超低排放技术路线选择［J］． 电力科技与环保，2017，33（6）：1-6． -
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