期刊论文详细信息
Sensors 卷:21
Development of Gas Sensor Array for Methane Reforming Process Monitoring
Tomasz Dymerski1  Dominik Dobrzyniewski2  Jacek Gębicki2  Bartosz Szulczyński2 
[1] Department of Analytical Chemistry, Faculty of Chemistry, Gdańsk University of Technology, 11/12 G, Narutowicza Str., 80-233 Gdańsk, Poland;
[2] Department of Process Engineering and Chemical Technology, Faculty of Chemistry, Gdańsk University of Technology, 11/12 G, Narutowicza Str., 80-233 Gdańsk, Poland;
关键词: gas sensors;    sensor array;    principal component regression;    methane reforming;    process monitoring;   
DOI  :  10.3390/s21154983
来源: DOAJ
【 摘 要 】

The article presents a new method of monitoring and assessing the course of the dry methane reforming process with the use of a gas sensor array. Nine commercially available TGS chemical gas sensors were used to construct the array (seven metal oxide sensors and two electrochemical ones). Principal Component Regression (PCR) was used as a calibration method. The developed PCR models were used to determine the quantitative parameters of the methane reforming process: Inlet Molar Ratio (IMR) in the range 0.6–1.5, Outlet Molar Ratio (OMR) in the range 0.6–1.0, and Methane Conversion Level (MCL) in the range 80–95%. The tests were performed on model gas mixtures. The mean error in determining the IMR is 0.096 for the range of molar ratios 0.6–1.5. However, in the case of the process range (0.9–1.1), this error is 0.065, which is about 6.5% of the measured value. For the OMR, an average error of 0.008 was obtained (which gives about 0.8% of the measured value), while for the MCL, the average error was 0.8%. Obtained results are very promising. They show that the use of an array of non-selective chemical sensors together with an appropriately selected mathematical model can be used in the monitoring of commonly used industrial processes.

【 授权许可】

Unknown   

  文献评价指标  
  下载次数:0次 浏览次数:0次