超洁净排放下低浓度烟尘采样方法的优化

Dust Sampling Method Optimization at Low Concentration of Super Low Emission

摘要: 随着超洁净排放概念的提出，火电机组烟尘排放浓度越来越低，相应的检测难度也随之越来越大。为了提高采样与测试精度，通过对不同采样嘴大小与不同采样时间之间的比对测试，计算不同采样体积下的测试偏差，以寻求可行的优化方法。结果表明，可以通过加大采样嘴直径及延长采样时间两种手段对原有烟尘采样方法进行优化来提高采样体积，当采样体积达到2 m³以上时，可以有效提高采样与测试结果的精度。研究可以为我国建立低浓度烟尘采样测试标准提供一定的借鉴。

Abstract: With the concept of super low emission, the dust testing has got more difficult as the lower and lower concentration of power plant dust emission. In order to improve the accuracy of sampling and testing, we carried on comparison tests between different sampling mouth size and different sampling time, calculated the test deviation under different sampling volume, to find out a feasible optimization method. The results show that conventional dust sampling method can be optimized by increasing the sampling mouth diameter or prolonging the sampling time to increase sampling volume, when the sampling volume reached to more than 2m^3, the accuracy of sampling and test results can be effectively improved. This work provides some reference for the establishment of low concentration dust sampling and testing standard in our country.