期刊文献+

液化天然气泄漏扩散数学模型分析 被引量:11

Mathematical Model for Dispersion of Liguefied Natural Gas Vapor
下载PDF
导出
摘要 液化天然气(LNG)的泄漏扩散已成为安全领域的一个重要研究内容,以LNG蒸气云扩散数学模型的开发进展为对象,详细分析了用于该类型扩散的经验模型、积分模型、浅层模型、拉格朗日非线性烟团模型、计算流体力学(CFD)模型。研究指出:尽管基于Navier-Stokes(N-S)方程的模型在所有模型中性能最好,但用于预测LNG泄漏扩散时,仍有许多值得改进的地方,如要考虑科里奥利力和气象因素等的影响。最后,重点针对当基于N-S方程的CFD模型用于LNG扩散时需要改进的地方进行了展望。 Dispersion of Liquefied Natural Gas (LNG) vapor clouds has been an important research field related with safety. This paper reviews the development of mathematical models for LNG vapor and gives a detailed analysis of empirical model, integral model, shallow layer model, Lagrangian non-linear puff model and computational fluid dynamics model based on Navier-Stokes (N-S) equations, It is shown that the models based on N-S equation enjoy the best performance, but some improvements should be made in order to predict LNG vapor cloud dispersion, among which the influence of Coriolis force and meteorological factors should be considered.
作者 孙珀 黄平
出处 《科技导报》 CAS CSCD 2008年第10期83-86,共4页 Science & Technology Review
关键词 安全科学 液化天然气 扩散 数学模型 进展 safety science Liquefied Natural Gas (LNG),dispersion mathematical model progress
  • 相关文献

参考文献22

  • 1黄琴,蒋军成.液化天然气泄漏扩散模型比较[J].中国安全生产科学技术,2007,3(5):3-6. 被引量:26
  • 2冯志华.危险气体事故性泄漏扩散的理论与实验研究[D].北京:中国矿业大学(北京),2006.
  • 3Ermak D L User's manual for SLAB: An atmospheric dispersion model for denser-than-air-releases [R]. U S: Lawrence Livermore National Laboratory, 1990.
  • 4Witlox H W. The HEGADAS model for ground-level heavy-gas dispersion-Ⅰ. Steady-state model[J]. Atmos Envir, 1994, 28(18); 2917-2932.
  • 5Witlox H W. The HEGADAS model for ground-level heavy-gas dispersion Ⅱ. Time-dependent model[J]. Atmos Envir, 1994, 28(18): 2933-2946.
  • 6Havens J, Spicer T. LNG Vapor Dispersion Prediction with the DEGADIS Dense Gas Dispersion Model[R]. U S: Arkansas Univ, Fayetteville Dept Chem Eng, 1990.
  • 7Hankin R K, Britter R E. TWODEE: The Health and Safety Laboratory's shallow layer model for heavy gas dispersion Part 1. Mathematical basis and physical assumptions[J]. J Hazardous Mat, 1999, 66(3): 211-226.
  • 8Hankin R K. Heavy gas dispersion: Integral models and shallow layer models[J]. J Hazardous Mat, 2003, 103(1-2): 1-10.
  • 9Sykes R I, Cerasoli C P, Henn D S. The representation of dynamic flow effects in a Lagrangian puff dispersion model [J]. J Hazardous Mat, 1999, 64(3): 223-247.
  • 10Ermak D L, Chan S T, Morgan D L, et al. A comparison of dense gas dispersion model simulations with Burro series LNG spill test results[J]. Journal of Hazardous Materials, 1982, 6(1-2): 129-160.

二级参考文献13

  • 1难波桂芳.化工厂安全工程[M].北京:化学工业出版社,1985.243.
  • 2D H斯莱德 张永兴(译).气象学与原子能[M].北京:原子能出版社,1979.204-215.
  • 3Stull R B 徐静琦等(译).边界层气象学导论[M].山东:青岛海洋大学出版社,1991..
  • 4[1]U.S.ENVIRONMENTAL PROTECTION AGENCY Office of Emergency Management Washington,D.C.NATIONAL OCEANIC AND ATMOSPHERIC ADMINISTRATION Office of Response and Restoration/Hazardous Materials Response Division Seattle,Washington.ALOHA(r) Areal Locations of Hazardous Atmospheres USER'S MANUAL.2006,2
  • 5[2]Donald L.Ermak.USER'S MANUAL FOR SLAB:AN ATMOSPHERIC DISPERSION MODEL FOR DENSER-THANAIR RELEASES[Abridged Version].Physics Department,Atmospheric and Geophysical Sciences Division University of California,Lawrence Livermore National Laboratory Livermore,California.1990,6
  • 6[4]I.V.KOVALETS and V.S.MADERICH.Numerical Simulation of Interaction of the Heavy Gas Cloud with the Atmospheric Surface Layer[J].Envirnmental Fluid Mechanics.2006,(6):313 ~ 340
  • 7[5]G.A.Melhem,S.Saraf,H.Ozog.Understand LNG Rapid Phase Transitions (RPT).ioMosaic Corporation,2006
  • 8[6]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.2007,140(3):504~ 517
  • 9[7]Ronald P.Koopman,Donald L.Ermak.Review Lessons learned from LNG safety research[J].Journal of Hazardous Materials.2007,140(3):412 ~ 428
  • 10[9]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,(61):1434 ~ 1443

共引文献151

同被引文献91

引证文献11

二级引证文献47

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部