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SiC — FET based SO2 sensor for power plant emission applications

机译:基于SiC — FET的SO2传感器,用于发电厂排放应用

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Large combustion power plants produce significant amount of SO2 and it is important to have good sensors to be able to control and optimize the efficiency of the desulphurization units. Static operation showed insufficient to provide good quantification of SO2 concentration, and therefore dynamic operation with temperature cycling is studied. The data are analyzed with Linear Discriminant Analysis (LDA) and Partial Least Square (PLS) Regression. SO2 quantification can be achieved with LDA, even when the oxygen background concentration changes from 4–10%.
机译:大型火力发电厂会产生大量的SO 2 ,因此重要的是要有良好的传感器,以能够控制和优化脱硫装置的效率。静态操作显示不足以提供对SO 2 浓度的良好定量,因此研究了具有温度循环的动态操作。使用线性判别分析(LDA)和偏最小二乘(PLS)回归分析数据。 LDA可以实现SO 2 定量分析,即使氧气背景浓度从4%至10%变化也是如此。

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