一种电除尘效率模型的建立及仿真  

Research on Electrostatic Precipitator Efficiency Model and Simulation

作　　者：刘福学 

机构地区：[1]大唐临清热电有限公司,山东临清252600

出　　处：《国网技术学院学报》2014年第3期22-25,共4页Journal of State Grid Technology College

摘　　要：电除尘法已成为电厂烟气除尘的主要方法,但是目前的测量技术很难获取电除尘效率的精确值,文中将影响电除尘效率的各个主要因素进行了综合分析,提出了以BP神经网络为基础的电除尘效率模型。并根据神经网络算法对电除尘效率模型进行仿真分析,并通过比较实际系统和模型除尘效率曲线以及对模型误差的计算,验证了此模型的可行性。Electrostatic precipitator has become the main method of flue gas dust removal in power plant. However,it is still difficult to achieve its accuracy of the efficiency of electrostatic precipitator.A comprehensive analysis is made in this paper for main factors affecting the efficiency of electrostatic precipitator on the bases of BP Neural Network algorithm.According to the model simulation analysis and introduction of samples,the author puts forwards the feasibility of this model by comparing the actual system and dust collection efficiency curve model and calculation error.

关 键 词：电除尘 神经网络 模型 

分 类 号：TK273[动力工程及工程热物理—动力机械及工程]