A study on baseline selection for ammonia concentration measurement using TDLAS
摘要
In the industrial sector, there is a shift towards adopting eco-friendly energy sources, with ammonia emerging as a promising resource. However, ammonia gas is toxic and poses risks in the leakage, so continuous monitoring is necessary. Tunable diode laser absorption spectroscopy (TDLAS) is a suitable technology for continuous monitoring, requiring the application of an optimal baseline selection algorithm for accurate measurements. This study compared the commonly used direct absorption spectroscopy (DAS) with the proposed interpolation reduction method (IRM). Experiments conducted using ammonia gas at concentrations ranging from 100 ppm to 300 ppm confirmed that selecting a baseline using IRM produced better experimental outcomes. Specifically, IRM demonstrated superior noise suppression in the absorbance spectrum compared to DAS. Additionally, a comparison of 50 repeated measurements at different concentrations showed that IRM resulted in less deviation between experiments, indicating more stable measurements.