On the Application of FLUENT for Numerical Simulation NG Dispersion

Bin Zhang; Wan Qing Wu; Jian Wei Zhang; Gui Feng Yu; Xing Feng; Wen Feng Wu

doi:10.4028/www.scientific.net/AMR.610-613.777

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 610-613On the Application of FLUENT for Numerical...

On the Application of FLUENT for Numerical Simulation NG Dispersion

Abstract:

Aiming at studying liquefied natural gas discharging on water and evaporated natural gas dispersion, based on the Monin-Obukhov similarity theory, using FLUENT to simulate the Coyote series 3 and 5. It is validated that FLUENT simulation results closer to experimental values than SLAB and DEGADIS model simulation results. And it is simulated the NG dispersing on water by setting higher wall heat conduction rate and simulated LNG discharging on ground by using lower LNG evaporation rate. By comparing the results, it is proved that LNG spilling and dispersion on water would get higher volume concentration than which occurs on ground.

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Periodical:

Advanced Materials Research (Volumes 610-613)

Pages:

777-784

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.610-613.777

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Online since:

December 2012

Authors:

Bin Zhang*, Wan Qing Wu, Jian Wei Zhang, Gui Feng Yu, Xing Feng, Wen Feng Wu

Keywords:

Fluent, Heavy Gas Dispersion, NG, Numerical Simulation

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References

[1] ZHANG Bin, WU Wanqing. Risk and hazard analysis for LNG spillage over water [J]. J Dalian Maritime Univ. , 2006, 32(4):81-84

Google Scholar

[2] Blackmore D R, Herman M N, Woodward J L. Heavy gas dispersion models [J]. Journal of Hazardous Materials, 1982(6):107-128

DOI: 10.1016/0304-3894(82)80036-8

Google Scholar

[3] J. Han, S.P. Arya, S. Shen, Y. Lin, An estimation of turbulent kinetic energy and energy dissipation rate based on atmospheric similarity theory, Report no. NASA/CR-2000-210298, (2000)

Google Scholar

[4] Anay Luketa-Hanlin, Ronald P. Koopman, Donald L. Ermak, On the application of computational fluid dynamics codes for liquefied natural gas dispersion, [J]. Journal of Hazardous Materials, 2007:504-517

DOI: 10.1016/j.jhazmat.2006.10.023

Google Scholar

[5] Spyros Sklavounos, Fotis Rigas, Simulation of Coyote series trials—Part I:CFD estimation of non-isothermal LNG releases and comparison with box-model predictions, [J]. Chemical Engineering Science, 2006:1434-144

DOI: 10.1016/j.ces.2005.08.042

Google Scholar