Mary Kay O'Connor Process Safety Center, Artie McFerrin Department of Chemical Engineering, Texas A&M University System, College Station, TX 77843-3122, USA.
J Hazard Mater. 2010 Nov 15;183(1-3):51-61. doi: 10.1016/j.jhazmat.2010.06.090. Epub 2010 Jul 1.
Federal safety regulations require the use of validated consequence models to determine the vapor cloud dispersion exclusion zones for accidental liquefied natural gas (LNG) releases. One tool that is being developed in industry for exclusion zone determination and LNG vapor dispersion modeling is computational fluid dynamics (CFD). This paper uses the ANSYS CFX CFD code to model LNG vapor dispersion in the atmosphere. Discussed are important parameters that are essential inputs to the ANSYS CFX simulations, including the atmospheric conditions, LNG evaporation rate and pool area, turbulence in the source term, ground surface temperature and roughness height, and effects of obstacles. A sensitivity analysis was conducted to illustrate uncertainties in the simulation results arising from the mesh size and source term turbulence intensity. In addition, a set of medium-scale LNG spill tests were performed at the Brayton Fire Training Field to collect data for validating the ANSYS CFX prediction results. A comparison of test data with simulation results demonstrated that CFX was able to describe the dense gas behavior of LNG vapor cloud, and its prediction results of downwind gas concentrations close to ground level were in approximate agreement with the test data.
联邦安全法规要求使用经过验证的后果模型来确定意外液化天然气 (LNG) 释放的蒸气云扩散禁区。业界正在开发一种用于确定禁区和 LNG 蒸气扩散建模的工具,即计算流体动力学 (CFD)。本文使用 ANSYS CFX CFD 代码对大气中的 LNG 蒸气扩散进行建模。讨论了对 ANSYS CFX 模拟至关重要的重要参数,包括大气条件、LNG 蒸发率和水池面积、源项中的湍流、地面温度和粗糙度高度以及障碍物的影响。进行了敏感性分析,以说明模拟结果中由于网格尺寸和源项湍流强度引起的不确定性。此外,在 Brayton 火灾训练场进行了一组中型 LNG 溢出测试,以收集数据来验证 ANSYS CFX 的预测结果。测试数据与模拟结果的比较表明,CFX 能够描述 LNG 蒸气云的密集气体行为,并且其接近地面的下风气体浓度预测结果与测试数据大致相符。