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http://dx.doi.org/10.5855/ENERGY.2011.20.4.292

An Experimental Study on Detection of Gas Leakage Position by Monitoring Pressure Values at City Gas Pipeline  

Jin, Kyoung-Min (Dept. of Mechanical Engineering, Graduate School of Kookmin University)
Choi, Gyu-Hong (Dept. of Mechanical Engineering, Graduate School of Kookmin University)
Lee, Song-Kyu (Dept. of Mechanical Engineering, Graduate School of Kookmin University)
Chung, Tae-Yong (Dept. of Mechanical Engineering, Kookmin University)
Shin, Dong-Hoon (Dept. of Mechanical Engineering, Kookmin University)
Hwang, Seung-Sik (Dept. of Mechanical Engineering, Kookmin University)
Oh, Jeong-Seok (Korea Gas Safety Corporation)
Publication Information
Abstract
Gas pipeline safety management and risk prediction are recognized as a very important issue. And the effort to prevent accidents is essential. So, in this study, it was studied through correlation of pressure changes for leak point detection in real-time. It experimented by installing the five leakage valves in the pipe of 378 m and compared the actual leak points with simulation results. The results showed that experimental leak points and the actual leak points have differences within the 6 m. And this technology has to be commercialized by the demonstration in dangerous zone.
Keywords
Sensor networks; Urban gas pipelines; Safety monitoring; Correlation; Simulator;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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1 H.E. Emara-Shabaik, Y.A. Khulief and I. Hussaini, "Simulation of transient flow in pipelines for computerbased operations monitoring", Int. J. Numer. Meth. Fluids, 44, 257-275, (2004).   DOI   ScienceOn
2 C.Y Cho, S.P Jang, J.H Nam, S.H Lim, D.H shin, T.Y Chung, "Development of pipeline network analysis model for operation monitoring of city-gas supply metworks", The Korea Socity for Energy Engineering, 486-493, (2008).
3 하종만 "배관망 해석의 이해와 활용", 유체기계저널, 6, 90-98, (2003).   과학기술학회마을   DOI
4 K. Fukushima, R. Maeshima, A. Kinoshita, H. Shiraishi and I. Koshijima, "Gas pipeline leak detection system using the online simulation method", Comp. & Chem. Eng, 24, 453-456, (2000).
5 S. Wang, H. Yang and H. Liu, "Design of the gas pipes monitoring system based on Compact PCI", Comp. Meas. & Cont, 14, 358-359, 370, (2006).
6 L. Billmann, and R. Isermann, Leakd detection methods for pipelines, Automatica, 23, 381-385, (1987).   DOI   ScienceOn
7 W. J. Turner, and N. R. Mudford, Leak detection, timing, location and sizing in gas pipelines, Mathematical and Computer Modelling, 10, 609-527, (1988).   DOI   ScienceOn
8 S. Belsito, P. Lombardi, P. Andreussi, and S. Barerjce, Leak detection in liquefied gas pipelines by artificial neural network, AIChE Journal, 44, 2675-2688, (1998).   DOI   ScienceOn
9 A. C. Caputo, and P. M.Pelagagge, An inverse approach for piping networks monitoring, Journal of Loss Prevention in the Process Industries, 15, 497-505, (2002).   DOI   ScienceOn
10 R. Jamal, and H. Pichlik, LabVIEW. Applications and Solutions, Prentice Hall, New Jersey, (1999).