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Journal of Tsinghua University(Science and Technology)    2017, Vol. 57 Issue (3) : 274-280     DOI: 10.16511/j.cnki.qhdxxb.2017.26.009
PHYSICS AND ENGINEERING PHYSICS |
Numerical simulations of leakage gas dispersion based on soil and atmosphere coupling
WANG Yan1, HUANG Hong1, HUANG Lida1, LI Yuntao2
1. Institute of Public Safety Research, Department of Engineering Physics, Tsinghua University, Beijing 100084, China;
2. College of Mechanical and Transportation Engineering, China University of Petroleum-Beijing, Beijing 102249, China
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Abstract  Most urban gas pipelines are buried underground. Small leaks can occur and are difficult to detect, which is a threat to urban public safety. Thus, gas leaks in buried gas lines need to be detected and assessed. The leaks can be located by analyzing the coupled gas dispersion in the soil and atmosphere. Different governing equations were used to model the dispersion in the soil and atmosphere in OpenFOAM. The flows were coupled through the mass flux leaving the ground surface. The models were used to investigate the impact of the leakage rate on the pressure and concentration distribution and the impact of the convective mass transfer coefficient on the concentration distribution and ground mass flux. The gas distribution in an urban street canyon was analyzed to show that the ground mass flux has little effect on the methane distribution in the street canyon. The model can be used as a reference for leak detection and assessments of buried gas pipelines.
Keywords buried pipeline      gas      leakage      dispersion      numerical simulation     
ZTFLH:  X959  
Issue Date: 15 March 2017
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WANG Yan
HUANG Hong
HUANG Lida
LI Yuntao
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WANG Yan,HUANG Hong,HUANG Lida, et al. Numerical simulations of leakage gas dispersion based on soil and atmosphere coupling[J]. Journal of Tsinghua University(Science and Technology), 2017, 57(3): 274-280.
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http://jst.tsinghuajournals.com/EN/10.16511/j.cnki.qhdxxb.2017.26.009     OR     http://jst.tsinghuajournals.com/EN/Y2017/V57/I3/274
  
  
  
  
  
  
  
  
  
  
  
[1] 孙立国, 周玉文. 埋地燃气管网泄漏规律及其次生灾害预防研究[J]. 煤气与热力, 2010, 30(1):38-42.SUN Liguo, ZHOU Yuwen. Study on leakage rule of buried gas pipeline and prevention of secondary disasters[J]. Gas&Heat, 2010, 30(1):38-42. (in Chinese)
[2] Praagman F, Rambags F. Migration of Natural Gas Through the Shallow Subsurface[D]. Utrecht:University of Utrecht, 2008.
[3] Okamoto H, Gomi Y. Empirical research on diffusion behavior of leaked gas in the ground[J]. Journal of Loss Prevention in the Process Industries, 2011, 24(5):531-540.
[4] 谢昱姝, 吴宗之, 吕良海, 等. 城市管道天然气在土壤中泄漏扩散实验研究[J]. 中国安全生产科学技术, 2012, 8(4):13-17.XIE Yushu, WU Zongzhi, LV Lianghai, et al. Experimental research on diffusion behavior of leaked gas from underground gas pipeline[J]. Journal of Safety Science and Technology, 2012, 8(4):13-17. (in Chinese)
[5] 熊兆洪, 李振林, 宫敬, 等. 埋地管道小泄漏模型及数值求解[J]. 石油学报, 2012, 33(3):493-498.XIONG Zhaohong, LI Zhenlin, GONG Jing, et al. A model for underground pipeline small leakage and its numerical solution[J]. Acta Petrolei Sinica, 2012, 33(3):493-498. (in Chinese)
[6] 晏玉婷, 张赫然, 李俊明, 等. 中压天然气管道泄漏扩散模拟研究[J]. 中国安全生产科学技术, 2014, 10(5):5-10.YAN Yuting, ZHANG Heran, LI Junming, et al. Simulations on diffusion of natural gas in the soil for medium-pressure gas pipeline leak[J]. Journal of Safety Science and Technology, 2014, 10(5):5-10. (in Chinese)
[7] YAN Yuting, DONG Xiaoqiang, LI Junming. Experimental study of methane diffusion in soil for an underground gas pipe leak[J]. Journal of Natural Gas Science and Engineering, 2015, 27:82-89.
url: http://dx.doi.org/10.1016/j.jngse.2015.08.039
[8] 张鹏, 程淑娟. 埋地天然气管道小微孔泄漏规律研究[J]. 中国安全科学学报, 2014, 24(2):52-58.ZHANG Peng, CHENG Shujuan. Study on small micropore leakage in buried gas pipeline[J]. China Safety Science Journal, 2014, 24(2):52-58. (in Chinese)
[9] Esposito A, Illangasekare T, Smits K, et al. Migration of natural gas through heterogeneous sandy soils affected by atmospheric boundary conditions[C]//Unconventional Resources Technology Conference (URTEC). Denver, CT, USA:Society of Petroleum Engineers, 2014.
[10] Botros K K, Ennis C J, Zhou J, et al. Prediction of gas transport through ground and atmosphere to determine the ability of airborne leak detection methods to detect pin-hole leaks from buried gas pipelines[C]//7th International Pipeline Conference. Calgary, Canada:American Society of Mechanical Engineers, 2008:11-28.
[11] Parvini M, Gharagouzlou E. Gas leakage consequence modeling for buried gas pipelines[J]. Journal of Loss Prevention in the Process Industries, 2015, 37:110-118.
url: http://dx.doi.org/10.1016/j.jlp.2015.07.002
[12] 程猛猛, 吴明, 赵玲, 等. 城市埋地天然气管道泄漏扩散数值模拟[J]. 石油与天然气化工, 2014, 43(1):94-98.CHENG Mengmeng, WU Ming, ZHAO Ling, et al. Numerical simulation of urban buried gas pipeline leakage and diffusion[J]. Chemical Engineering of Oil & Gas, 2014, 43(1):94-98. (in Chinese)
url: http://dx.doi.org/cal Engineering of Oil
[13] Wilke C R. A viscosity equation for gas mixtures[J]. The Journal of Chemical Physics, 1950, 18(4):517-519.
[14] Launder B E, Spalding D B. The numerical computation of turbulent flows[J]. Computer Methods in Applied Mechanics And Engineering, 1974, 3(2):269-289.
[15] Meroney R N, Pavageau M, Rafailidis S, et al. Study of line source characteristics for 2-D physical modelling of pollutant dispersion in street canyons[J]. Journal of Wind Engineering and Industrial Aerodynamics, 1996, 62(1):37-56.
[16] Rafailidis S. Influence of building areal density and roof shape on the wind characteristics above a town[J]. Boundary-Layer Meteorology, 1997, 85(2):255-271.
[17] Ferziger J H, Peric M. Computational Methods for Fluid Dynamics[M]. Beijing:World Book Publishing, 2012.
[18] Jackson R B, Down A, Phillips N G, et al. Natural gas pipeline leaks across Washington, DC[J]. Environmental Science & Technology, 2014, 48(3):2051-2058.
url: http://dx.doi.org/onmental Science
[19] Albertson J D, Harvey T, Foderaro G, et al. A mobile sensing approach for regional surveillance of fugitive methane emissions in oil and gas production[J]. Environmental Science & Technology, 2016, 50(5):2487-2497.
url: http://dx.doi.org/onmental Science
[20] Environmental defense fund, Natural gas:Local leaks impact global climate.. https://www.edf.org/climate/methanemaps.
[21] ZHANG Jianwen, LEI Da, FENG Wenxing. An approach for estimating toxic releases of H<sub>2</sub>S-containing natural gas[J]. Journal of Hazardous Materials, 2014, 264:350-362."
url: http://dx.doi.org/10.1016/j.jhazmat.2013.09.070
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