正庚烷池火LBL光谱辐射的数值解

H. Bordbar, S. Hostikka
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引用次数: 4

摘要

对池火火焰辐射的光谱特性进行了数值计算。案例研究是位于4m×4m×5m矩形域底部的2m正庚烷池火灾。采用CFD程序Fire Dynamic Simulator (FDS)求解了系统的瞬态传热传质问题。采集了系统内气体组分、烟尘浓度和温度沿直线的时间平均溶解数据。利用时间平均CFD数据,建立了两种不同的一维模型,假设平行板条件和视线解,研究了火焰外观测到的光谱辐射强度。利用燃烧气体的高分辨率LBL光谱吸收曲线和烟尘吸收系数的光谱模型,对平行板假设(DO法)和视线条件下的沿线热辐射光谱解进行求解。将到达虚传感器的光谱辐射曲线与最近发表的煤油大池火灾实验数据进行了定性比较。模拟结果表明,低温大气气体具有较强的吸收作用,而在火焰中~2200cm处,热CO2的发射峰与热黑体的光谱曲线即使在距离火焰中心23 m处仍有明显区别。因此,这个发射峰可以用来探测火灾。对小池的CFD数据进行了缩放,结果表明,小池的火焰光谱与热黑体光谱的差异更大。这意味着利用光谱辐射特征探测较小的火灾比探测较大的火灾更容易,而在较大的火灾中,强烈的烟尘排放效应会导致更多的黑体行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
NUMERICAL SOLUTION OF LBL SPECTRAL RADIATION OF A N-HEPTANE POOL FIRE
The spectral characteristics of radiation coming from a pool fire flame are numerically obtained. The case study is a 2m n-heptane pool fire located in the bottom of a 4m×4m×5m rectangular domain. Transient heat and mass transfer of the system was solved using CFD code Fire Dynamic Simulator (FDS) with LES of turbulence and a two-step combustion reaction. The time averaged solution data of gas compositions, soot concentration and temperature along a line in the system were collected. Using the time averaged CFD data, two different onedimensional models assuming parallel plate conditions and a line of sight solution were built to study the spectral radiative intensity observed outside the flame. The high-resolution LBL spectral absorption profiles of combustion gases together with a spectral model for soot absorption coefficient were used in spectral solution of thermal radiation along the line for both assumptions of parallel plates (using DO method) and line of the sight conditions. The spectral radiation profile reaching an imaginary sensor is qualitatively compared with the recently published experimental data of Kerosene large pool fires. The modelling results revealed the strong absorption effect of cold atmospheric gases while the emission peak of hot CO2 at ~2200cm in fire is still quite distinguishable from the spectral profile of hot blackbody even at 23 meters away from the center of the flame. This emission peak can be therefore used for detection of the fire. Using the scaled CFD data for smaller pools showed that the difference between the spectral profiles of the fire and those of hot blackbodies is larger for smaller pools. It means that the detection of smaller fires using the spectral radiation characteristics is easier than that of larger fires where strong effect of soot emission caused more blackbody-like behavior.
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