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作 者:王勇勤[1] 段丽华[1] 徐国胜[2] 罗远新[1]
机构地区:[1]重庆大学机械传动国家重点实验室,重庆400044 [2]西安理工大学水利水电学院,西安710048
出 处:《环境工程学报》2012年第8期2775-2781,共7页Chinese Journal of Environmental Engineering
摘 要:针对经典除尘效率未考虑诸多随机因素影响的问题,提出了基于Monte-Carlo方法的效率分析模型,并通过实验数据验证其可靠性。通过该模型分析了粒径大小、电场气流速度、电晕电压、两极间距、粒子浓度等因素对收尘效率的影响规律,结果表明:基于Monte-Carlo方法的仿真结果精度更高,能有效预测静电除尘器的收尘效率,对于改进静电除尘器设计具有一定的理论意义和实用价值。As the traditional dust collection efficiency models ignored many random factors, a new model is proposed based on Monte-Carlo method and compared to experimental data for verification. This model is used to analyze particle size, air velocity in electric field, applied voltage on corona, distances between two poles and particle concentration which impact to the dust collection efficiency. The simulation results indicate that the pro- posed method is more precise than transitional methods and can well predict the efficiency. It' s believed that this fundamental study can be used for improving the design of electrostatic precipitator, and makes significant pro- gress on both of theory and engineering in the future.
关 键 词:静电除尘器 除尘效率 Monte-Carlo算法 随机模拟
分 类 号:X701[环境科学与工程—环境工程]
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