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Investigating the impact of gas emission uncertainty on airflow distribution in an auxiliary ventilation system using CFD and Monte-Carlo simulation

机译:研究使用CFD和Monte-Carlo模拟对辅助通风系统中气流分布对气流分布的影响

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摘要

Gas emission in underground coal mines is of crucial importance. It is the potential cause of several health and safety issues such as gas explosion and gas poisoning. The emission of toxic and explosive gases in underground workings creates an unsafe environment, complicates the design of ventilation system, and increases the operating cost. The prediction of gas emission has long been associated with levels of uncertainty arising from parameters such as gas content and composition. This paper aims to identify the parameters affecting the uncertainty associated with the gas emission and determine the gas emission using the Monte Carlo simulation (MCS). A three-dimensional Computational Fluid Dynamics (CFD) model is developed to estimate the gas distribution and required airflow rate for ventilating the mine workings considering the gas content uncertainty. The CFD simulation is also carried out using the Monte Carlo modeling results to determine the effect of the uncertainty associated with the gas emission on the distribution of the required airflow rate. Several ventilation scenarios are investigated to determine the optimum ventilation air characteristics. It is found that for any specific design scenario, the ventilation system can be designed such that the mining operation can be carried out safely and with minimum cost.
机译:地下煤矿的气体排放至关重要。这是诸如煤气爆炸和气体中毒等几种健康和安全问题的潜在原因。地下运作中有毒和爆炸气体的排放产生不安全的环境,使通风系统的设计变得复杂,并提高了运营成本。气体排放的预测长期与来自诸如煤气含量和组成的参数产生的不确定性水平相关。本文旨在识别影响与气体发射相关的不确定性的参数,并使用蒙特卡罗模拟(MCS)确定气体排放。开发了一种三维计算流体动力学(CFD)模型来估计气体分布和所需的气流速率,以便考虑矿井的运作,考虑气体含量不确定性。 CFD仿真也使用蒙特卡罗建模结果进行,以确定与气体排放相关的不确定性对所需气流率的分布相关的影响。研究了几种通风情景以确定最佳通风空气特性。结果发现,对于任何特定的设计场景,可以设计通风系统,使得可以安全地进行采矿操作并且具有最小成本。

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