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首页> 外文期刊>Environmental engineering and management journal >AN IMPROVED MODELING FOR PREDICTION OF PM2.5 COLLECTION EFFICIENCY IN ELECTROSTATIC PRECIPITATORS
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AN IMPROVED MODELING FOR PREDICTION OF PM2.5 COLLECTION EFFICIENCY IN ELECTROSTATIC PRECIPITATORS

机译：静电除尘器中PM2.5收集效率预测的改进模型

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摘要

In this work, PM2.5 removal mechanism was explored to investigate PM2.5 collection efficiency under the influences of applied magnetic field and diffusion charging (the main charging mode for submicron particle). The proposed electrostatic precipitators (ESPs) mathematical model considered three-field interaction between fluid field, electromagnetic field and particle dynamic field. CFD software FLUENT was used to generate the simplified solid structure of the ESP. In numerical calculation, the mathematical expressions for charge of dusty particles, drag force, electric force and Lorentz force were and input by using UDF. Deutsch-Anderson formula was applied to process and analyze CFD numerical solution to obtain the grade efficiency and overall efficiency of PM2.5. The results indicate that the PM2.5 grade efficiency increases non-linearly with increasing particle diameter when only applied magnetic field is considered. Both grade and overall efficiencies of PM2.5 improve under a strong magnetic field. The effect of magnetic field on collection efficiency also depends on the particle removal mechanisms. The PM2.5 grade efficiency under diffusion charging decreases first and then levels off. Furthermore, diffusion charging increases PM2.5 removal performance with the decrease of working potential or the increase of gas velocity. The diffusion charging mainly influences the fine particles in PM2.5 diameter range and is a much more important particle removal mechanism than magnetic field. Under the combined effect, the PM2.5 grade and overall efficiencies also increase with increasing magnetic field intensity, and dust removal ability of a wire-pipe ESP can be further improved in the entire PM2.5 diameter range.
机译：在这项工作中，探索了PM2.5去除机理，以研究施加磁场和扩散充电（亚微米颗粒的主要充电方式）的影响下PM2.5的收集效率。提出的静电除尘器（ESP）数学模型考虑了流场，电磁场和粒子动态场之间的三场相互作用。 CFD软件FLUENT用于生成ESP的简化实体结构。在数值计算中，使用UDF输入了粉尘颗粒的电荷，阻力，电力和洛伦兹力的数学表达式。应用Deutsch-Anderson公式对CFD数值解进行处理和分析，以获得PM2.5的等级效率和整体效率。结果表明，仅考虑外加磁场时，PM2.5分级效率随粒径的增加而非线性增加。在强磁场下，PM2.5的等级效率和总体效率都会提高。磁场对收集效率的影响还取决于颗粒去除机理。扩散充电下的PM2.5级效率先下降然后稳定。此外，随着工作电位的降低或气体速度的提高，扩散带电提高了PM2.5的去除性能。扩散带电主要影响PM2.5直径范围内的细颗粒，并且是比磁场更重要的颗粒去除机制。在这种综合作用下，随着磁场强度的增加，PM2.5等级和整体效率也会提高，并且在整个PM2.5直径范围内，可以进一步提高线管ESP的除尘能力。

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