Browse > Article
http://dx.doi.org/10.7842/kigas.2017.21.5.16

Practical Research for Quantitative Expression of Leakage Through Optical Gas Image  

Park, Suri (Dept. of Chemical Engineering, Soongsil University)
Han, Sang-wook (Dept. of Chemical Engineering, Soongsil University)
Kim, Byung-jick (Dept. of Chemical Engineering, Soongsil University)
Publication Information
Journal of the Korean Institute of Gas / v.21, no.5, 2017 , pp. 16-26 More about this Journal
Abstract
In chemical industry plants, the raw material, intermediate and final products can leak from unstable joints of flanges and valves as well as cracks of storage tanks. From the safety and economic standpoints, it is very important to understand whether leaks or not and leakage rate. The OGI(optical gas image) technique can tell gas leakages, but cannot give the leakage rate. Some special OGI devices can show the kind of gas in different color concentration in different darkness. Therefore the research on quantification of OGI is necessary. In this research, we have developed the practical method to quantify OGI of methane leakage. To estimate 3-dimensional gas leakages distribution from 2-dimensional OGI, the Monte Carlo Probability technique was applied. First the number of points in the area of width(2.54 cm) and length(2.54 cm) in OGI was counted. Total no of each experiment was compared with the measured flow rate. The correlation average between total points and measured flow rate was found to be 0.980. Reversely we estimated the leakage rate of OGI by use of the correlation table. The results showed good agreement between the estimation value and the measured value.
Keywords
OGI; leak gases; outflow; quantification; correlation coefficient;
Citations & Related Records
연도 인용수 순위
  • Reference
1 ME., Regulations of the investigation and calculation coefficient of chemical substance emissions, Notification of ME., Seoul, (2014)
2 KOGAS-Tech., Korea Gas Technology corporation, 2017.01., www.kogas-tech.co.kr
3 FLIR, Gas detection systems, GF320 Infrared camera, 2017.01. www.flirkorea.com
4 Telops, Innovative Infrared Imaging, Telops Company, Canada, (2015)
5 Zazzeri, G., Lowry, D., Fisher, R. E., France, J. L., Lanoiselle , M., Nisbet, E. G. "Plume mapping and isotopic characterisation of anthropogenic methane sources", Atmospheric Environment, 110, 151-162, (2015)   DOI
6 Safitri, A., "Infrared optical imaging techniques for gas visualization and measurement", A&M Univ. Dissertation, (2011)
7 Naoya K., Chihiro T., Takabumi F., "Propane gas leak detection by infrared absorption using carbon infrared emitter and infrared camera", Yokohama National Univ. NDT&E international, 44(1), 57-60, (2011)   DOI
8 Kottegoda, N. T., Natale, L., Raiteri, E., "Monte Carlo Simulation of rainfall hyetographs for analysis and design", Journal of Hydrology, 519, 1-11, (2014)   DOI
9 Palisade, @RISK, advanced risk analysis for spreadsheets, Palisade Corp, New York, (2005)
10 Kelby, S., Adobe Photoshop CC Book for Digital Photographers, NewRiders, Indiana, (2014)
11 Bang, S. W., to lean properly Matlab, Hanbit Academy, Seoul, (2016)
12 Rea, L. M., Parker, R. A., Designing & onduction Survey Research A Comprehensive Guide, 3rd ed., Jossey-Bass, San Francisco, (2005)