Can a linear superposition relationship be used for transport of heavy gas delivered by supply air in a ventilated space?
Can a linear superposition relationship be used for transport of heavy gas delivered by supply air in a ventilated space?
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通风空间内送风输送的重气体能否采用线性叠加关系？
DOI：
10.1016/j.buildenv.2022.109960
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发表时间：
2022-12
影响因子：
7.4
通讯作者：
Jiujiu Chen
中科院分区：
文献类型：
--
作者：
Xiaoliang Shao;Yu Liu;Junfeng Zhang;Yemin Liu;Huan Wang;Xianting Li;Jiujiu Chen
在危险重气体注入供气的紧急事件中，重气体扩散的快速预测是非常重要的。基于固定流场的线性叠加关系提供了快速预测的优点;然而，由于密度差而产生的浮力使流场不稳定。在这项工作中，适用性的线性关系的基础上的瞬态可及性指数预测重气体扩散送风。将线性模型预测的无因次瞬态浓度与计算流体力学（CFD）模拟结果进行了比较。分析了两种重质气体（CO2和H2S）、两种送风质量分数（4 E-4和4 E-2）和两种送风方式（顶棚送风侧下回风（CSD）和侧上送风侧下回风（SUSD））的数值结果。结果表明，在4 E-4低供气浓度下，流场和重质气体浓度与钝性气体略有不同。空气射流在4 E-2的高供给浓度下表现出下沉特性。线性模型的预测偏差主要发生在供气射流周围的几个位置和CSD和SUSD的上部空间。平均偏差为7.8%-15.5%，达到了可接受的准确度。高的重瓦斯浓度和高的重瓦斯浓度增加了预测偏差。这项研究提供了支持的紧急情况下，通风决策的快速评估。
In emergency events where hazardous heavy gases are injected into supply air, the rapid prediction of heavy gas dispersion is significantly important. The linear superposition relationship based on a fixed flow field offers the advantage of fast predictions; however, the buoyancy due to the density difference destabilizes the flow field. In this work, the applicability of a linear relationship based on transient accessibility index in predicting heavy gas dispersion delivered from supply air was studied. The dimensionless transient concentrations predicted by the linear model were compared with those of CFD (computational fluid dynamics) simulation. The numerical results from two heavy gases, carbon dioxide (CO2) and hydrogen sulfide (H2S); two supply mass fraction concentrations, 4E-4 and 4E-2; and two air distributions, ceiling supply side down return (CSD) and side up supply side down return (SUSD), were analyzed. The results showed that the flow field and heavy gas concentrations at a low supply concentration of 4E-4 were slightly different from those of the passive gas. The air jet exhibited sinking characteristics at a high supply concentration of 4E-2. Significant prediction deviations using the linear model mainly occurred at a few positions surrounding the supply air jet and in the upper space for the CSD and SUSD. An acceptable accuracy was achieved with average deviations ranging from 7.8%–15.5%. High heavy gas density and heavy gas concentration in supply air increased the prediction deviation. This study provides support for the rapid assessments of emergency scenarios in the context of ventilation decisions.
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影响因子：
6.7
作者：
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通讯作者：
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影响因子：
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作者：
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影响因子：
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DOI：
10.1016/j.jlp.2017.01.012
发表时间：
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影响因子：
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作者：
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作者：
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