摘要
利用CFD技术对复合型湿式除尘器内部多相流场以及气液传质过程进行模拟,采用Realizable k-ε湍流模型在Euler坐标系下模拟除尘器内部气相的流动,采用DPM模型在Lagrange坐标系下描述液滴以及粉尘颗粒的运动轨迹,采用species transport多组分化学反应模型研究电机转速、喷淋液气比、入口烟气中SO_2浓度等运行参数对湿式除尘风机脱硫效率的影响。建立了复合型湿式除尘器脱硫实验系统,对除尘器的理论模型以及运行规律进行验证。结果表明:实验测得值和仿真模拟值误差均在10%以内,且脱硫效率变化规律一致,即随着电机转速、喷淋液气比以及Ca(OH)_2溶液pH的增大,脱硫效率明显上升;随着入口烟气中SO_2浓度的增大,脱硫效率降低。
Computational fluid dynamics(CFD) technology was used to simulate the multiphase flow field and gas-liquid mass transfer process inside the composite wet scrubber in this paper. Realizable k-ε turbulence model was applied to simulate the gas phase flow inside the scrubber under Euler coordinate, DPM model was used to describe the motion path-line of droplets and dust particles under Lagrange coordinate, and Species Transport multicomponent chemical reaction model was used to study the impact of motor rotating speed, liquid-gas ratio and inlet SO2 concentration and other operating parameters on desulfurization efficiency within the wet fan. In addition, the desulfurization experimental system of composite wet scrubber was established to verify the theoretical model and operating law of composite wet scrubber. The results showed that the error between the measured value and the simulated value was within 10%, and the changing rule of the desulfurization efficiency was consistent, that was, with increase of the motor speed, spray liquid-gas ratio and the pH value of Ca(OH)2 solution, the efficiency of desulphurization increased significantly;with increases of the concentration of SO2 in the inlet flue gas, the desulfurization efficiency decreased.
作者
赵海鸣
刘阳
廖小乐
ZHAO Hai-ming;LIU Yang;LIAO Xiao-le(School of Mechanical and Electrical Engineering,Central South University,Changsha 410083,China;State Key Laboratory of High Performance Complex Manufacturing,Central South University,Changsha 410083,China)
出处
《环境工程》
CAS
CSCD
北大核心
2019年第2期119-123,137,共6页
Environmental Engineering
基金
萍乡市大气环保产业园创新创业政策研究及应用(2016YFC0209300)
关键词
复合型湿式除尘器
脱硫
气液两相流
计算流体力学
composite wet scrubber
desulfurization
gas-liquid two phase flow
computational fluid dynamics