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出 处:《污染防治技术》2013年第2期48-50,共3页Pollution Control Technology
摘 要:介绍了烟气预测排放监测系统(PEMS)如何利用回归模型对NOx的排放浓度进行计算和预测,探讨PEMS系统作为一种污染物预测系统的可行性及其发挥的作用。方法建立回归模型,利用非线性拟合确定待定参数,将计算值与污染源烟气连续排放监测系统(CEMS)监测数据进行比对。结果表明,PEMS计算得出的NOx排放浓度与CEMS实测的NOx排放浓度变化趋势基本一致。95.7%的数据的绝对误差在20%以下,74.2%的数据的绝对误差在10%以下。结论:PEMS系统对NOx排放浓度的预测具有一定的技术可行性,能有效弥补CEMS的缺点,并可使NOx的监测更为便利和有效。The calculation and prediction of NOx emission concentration by regression model of Predictive Emission Monitoring systems (PEMS) was introduced in this paper. Setting up the regression model, and fixing on the undetermined parameter by using nonlinear fitting, the comparion between tile calculation values and the monitoring results from the continuous Emissions Monitoring System(CEMS) was made. The PEMS calculation results of NOx emission concentration showed the same tendency as the CEMS ac tual monitoring values. The Absolute errors of 95.7% data pairs were less than 20% , and the absolute errors of 74.2% data pairs were less than 10%. The conclusion was that PEMS was technically feasible to predict the NO2 emission concentration which could make up for the disadvantage of CEMS, and could make the monitoring NO3 more convenient and efficiently.
关 键 词:烟气预测排放监测系统 烟气连续排放监测系统 NOx排放浓度 排放浓度预测
分 类 号:X831[环境科学与工程—环境工程]
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