Prediction of gas state properties and flow parameters during high-pressure gas leakage

IF 3.6 3区 工程技术 Q2 ENGINEERING, CHEMICAL
Wenjun Chang , Wenhe Wang , Youwei Guo , Yu Guang , Linyuan Wang , Zhiyong Li , Hongwei Song
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引用次数: 0

Abstract

The accurate assessment of combustible gases leaking from high-pressure storage facilities is fundamental to disaster prevention and accident rescue. The current computing methods of gas leakage commonly fail to account for the actual behavior of high-pressure gases and gas leakage resistance, leading to inaccuracies in predicting high-pressure gas leakage. This study established a gas leakage process model based on the Peng-Robinson equation of state, considering the effects of the molecular volume and intermolecular forces on the properties of high-pressure gas. Factors affecting the resistance correction coefficient of the leakage model were investigated in conjunction with the CFD simulation results to provide a formula of gas leakage resistance coefficient. The proposed model is compared with existing models and validated using experimental data. It was found that the proposed model was able to obtain more satisfactory results. The margin of error of modified leakage model remains below 12%, providing robust support for accurately evaluating the consequences of high-pressure gas leakage accidents. The current findings are of significance for the design of high-pressure gas storage and transportation systems in future.

预测高压气体泄漏时的气体状态特性和流动参数
准确评估高压储气设施泄漏的可燃气体是防灾和事故救援的基础。目前的气体泄漏计算方法普遍未能考虑高压气体的实际行为和气体泄漏阻力,导致高压气体泄漏预测不准确。本研究建立了基于彭-罗宾逊状态方程的气体泄漏过程模型,考虑了分子体积和分子间作用力对高压气体性质的影响。结合 CFD 模拟结果对影响泄漏模型阻力修正系数的因素进行了研究,给出了气体泄漏阻力系数公式。提出的模型与现有模型进行了比较,并利用实验数据进行了验证。结果发现,所提出的模型能够获得更令人满意的结果。改进后的泄漏模型的误差率保持在 12% 以下,为准确评估高压气体泄漏事故的后果提供了有力支持。目前的研究结果对未来高压气体储运系统的设计具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.20
自引率
14.30%
发文量
226
审稿时长
52 days
期刊介绍: The broad scope of the journal is process safety. Process safety is defined as the prevention and mitigation of process-related injuries and damage arising from process incidents involving fire, explosion and toxic release. Such undesired events occur in the process industries during the use, storage, manufacture, handling, and transportation of highly hazardous chemicals.
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