Development of On-line Instrumentation and Techniques to Detect and Measure Particulates

Wu, Sheng ; Palm, Steve ; Tang, Yongchun ; III, William A. Goddard

California Institute of Technology

关键词: Signal-To-Noise Ratio;    Particulates;    On-Line Measurement Systems;    Air Pollution Monitors;    Engines;   

DOI  :  10.2172/859942
RP-ID  :  none
RP-ID  :  FC26-02NT41581
RP-ID  :  859942

美国|英语

来源: UNT Digital Library

【 摘 要 】

In this final quarter, we have continued to collect more field data. Here, in this report representative data collected in the field with turbine engine are presented. We also made substantial progress in calibration of standard particles using MOUDI. During the 12th quarter of this project, we collected a myriad of field data at our industrial partner's test site. These data verified the system performances. (1) The system could detect light scattering signal for all 9 wavelength lasers under different load conditions--We verified that the ELIS1024 chip could reliably collect light scattering signal from the 9 wavelength lasers, even the weakest wavelength at 355nm, thanks to our effort in improving the signal to noise ratio of the detector. (2) The data collected for each wavelength channel under the same load is consistent and repeatable--Although different wavelength channel has drastically different signal to noise ratio, after certain averages, we are able to repeat the scattering signal under the same engine conditions. (3) The data collected for each channel under different load conditions are qualitatively consistent with prediction--The data collected for each channel under different load conditions change according to the predictions. We are conducting simulation models to simulate the data and use the model to predict the PM emission pattern.