大气扩散计算流体力学模型综合评估方法研究

模型评估方法研究是模型研发工作的重要组成部分。基于科学性验证与统计性确认提出了大气扩散CFD模型的综合确认评估方法,通过示例的方式展示了方法的使用效果。综合确认评估方法可以提高模型筛选的速度,降低统计性评估对确认性试验数据的需求量,从总体上提高模型确认的效率。评估理论的研究有助于提高基于模型的大气扩散研究的准确性,也有利于高精度模型和试验的设计、开发与遴选。     

突发有毒气体泄漏事故应急模型开发

针对突发有毒气体泄漏事故,基于环境毒理学、GIS以及运筹学等基本方法和研究成果,探讨应急模型的建模方法和开发过程。使用高斯烟羽模型预测泄漏气体的扩散;基于毒气负载和AEGL标准评估事故危害,并开发以建筑物吸引率为核心的影响居民估算方法;基于最小伤害准则计算最佳应急疏散路线,并使用Logit模型进行疏散暴露评估;以最短救援时间为目标构建医疗资源的配置模型。将应急模型应用于模拟的气体泄漏场景,结果表明,模型开发方法有效,应急模型具有实用性,能够为应急决策提供重要的参考。     

天然气瞬时泄漏扩散规律及其影响因素研究

为分析和预测天然气泄漏的扩散距离、扩散面积及扩散后的不动火区域,有效控制事故发生及降低事故后果,以某天然气储罐为例,对天然气瞬时泄漏的扩散规律进行了数值仿真。首先,确定适用于轻气的高斯烟团模型;然后,基于高斯烟团模型进行仿真分析,绘制天然气瞬时泄漏扩散的等质量浓度曲线和动火燃爆区域;第三,分析泄漏量、大气稳定度、地表粗糙度等因素对天然气扩散的影响,并分别确定不同条件下的动火燃爆区域;最后,基于数值仿真分析结果,提出天然气泄漏后的应急疏散和救护措施。结果表明:天然气扩散距离和面积随泄漏量增大而增大;大气越稳定,扩散的距离和范围越大;扩散距离随地面粗糙度增大而减小。     

非点源LNG泄漏扩散过程模拟及危险区域分析

为了研究LNG泄漏扩散过程及危害,建立了引入时间参数的高斯烟羽混合模型,利用MATLAB工具对LNG泄漏扩散过程进行动态模拟,解决了高斯烟羽模型不能模拟连续泄漏源泄漏初期浓度分布的问题。提出了非点源高斯烟羽混合模型,可预测液池、大孔等非点源的泄漏扩散过程,并利用Burro 9号LNG泄漏扩散试验进行模型验证。研究了风速、大气稳定度等对LNG泄漏扩散所形成的危险区域的影响,结果表明:风速对LNG泄漏扩散的影响显著,风速越大,扩散越快,扩散达稳定后所形成的危险区域面积越小;大气越稳定,扩散越慢,危险区域面积越大。     

金属埋地管道腐蚀泄漏及大气扩散过程推理模型研究

为了定量评估埋地金属管道腐蚀泄漏的风险,将贝叶斯网络和蒙特卡罗模拟方法用于计算管道腐蚀泄漏及扩散范围概率。建立了埋地金属管道腐蚀泄漏贝叶斯网络,量化了各事件之间的关联。在已知先验概率的基础上,运用贝叶斯概率计算得到管道腐蚀泄漏的后验概率值。利用蒙特卡罗模拟方法对泄漏后气体扩散范围进行了数值模拟,给出了主要模型变量的概率密度函数,得到了扩散区域范围概率分布特征。研究结果表明,管道腐蚀泄漏过程受输送介质和土壤腐蚀性、防腐措施有效性和大气扩散条件的影响,具有较大的不确定性。分析方法考虑了模型参数随机性对计算结果的影响,评估结果可以用于比较不同条件下埋地金属管道腐蚀泄漏扩散的风险。     

有毒重气泄漏安全距离数值方法

以有毒重气硫化氢气体为对象,利用非正常排放扩散模型计算气体泄漏时地表扩散浓度场,对比研究两种极端大气稳定度条件下浓度场分布规律和特征,确定了各自情况下的安全距离。研究结果表明,大气稳定度对H2S扩散后果影响大,F条件下的浓度值相对较大但其扩散范围较小;该模型能定量地描述气体扩散地面浓度分布场,能快捷和科学地预测浓度和源强、风速、大气稳定度以及时间空间等的关系。笔者所用的方法克服了现实情况中安全距离设定单一的弊端,对有毒重气泄漏安全规划等有指导作用。     

基于真三维GIS的危险化学气体泄漏扩散动态模拟仿真系统

针对传统危险化学气体泄漏扩散软件在模拟表现力方面的不足,提出将改进的随机游走大气泄漏扩散模型集成到真三维地理环境信息系统中,完成了基于真三维GIS环境下的危险化学品泄漏扩散模拟仿真系统的设计与开发.该系统能够在真三维场景中直观地展示危险化学气体的三维扩散过程,实时显示危险化学品泄漏扩散浓度分布图及事故不同程度的危害范围.同时通过与PHAST软件模拟结果对比,验证了该系统的可靠性.系统可以直观地、有效地帮助应急指挥人员组织应急救援和疏散,为企业、政府在危险化学品泄漏事故预防、预测和评估以及应急预案的制定提供参考.     

海底管道泄漏油气扩散规律数值仿真与对比分析

为研究海底原油与天然气单相泄漏扩散规律的差异性,合理制定应急响应策略,减小事故损失,针对海底管道失效所致的原油与天然气泄漏问题,基于计算流体动力学CFD方法,建立海底油气管道泄漏事故后果预测与评估模型,对特定事故场景下的海底原油与天然气泄漏扩散过程进行模拟与分析,从泄漏扩散过程、工况因素影响、泄漏后果及应对策略4个方面对比原油与天然气的泄漏扩散特性。结果表明:相同工况下,海底原油与天然气在泄漏速率、扩散时间、扩散形态及水平最大扩散距离方面存在显著差别;与天然气相比,原油泄漏扩散行为对工况因素具有更高的敏感性;原油泄漏会引发严重的环境灾害,天然气泄漏则会影响海上结构物的稳定性及引发火灾爆炸事故,据此需合理制定具有针对性的应对策略。     

煤粒瓦斯瞬时扩散模型研究

为使扩散方程能够准确描述煤粒瓦斯涌出规律,首先依据相似理论和扩散第二定律建立瓦斯扩散系数计算方法,并结合试验数据得到扩散系数与时间的关系。然后基于此构建煤粒瓦斯瞬时扩散球状模型,运用分离变量法对模型进行求解,得到该模型的无穷级数解析解和模型系数的确定方法。最后通过计算值与试验值对比验证瞬时扩散模型的准确性,同时分析瞬时扩散模型与煤体复杂孔隙结构的关系。结果表明:扩散系数随时间的变化符合幂函数递减规律;构建的瞬时扩散模型能够准确描述煤粒瓦斯扩散规律,理论计算高度反映了试验结果;瞬时扩散模型可以从时空角度体现煤粒复杂的孔隙结构。因此该模型可用于计算瓦斯预测参数和研究瓦斯动力灾害形成过程。     

航天发射场液体推进剂的泄漏扩散模型研究

为了实现对有毒推进剂泄漏扩散浓度的快速估算，对液体推进剂偏二甲肼在发射场泄漏蒸发扩散的实际情况进行理论分析，建立扩散模型，并从泄漏源、沉积效应、地面反射、大气稳定度等方面对扩散模型进行完善；应用数值模拟方法进行仿真，将数值模拟结果与实验数据、理论计算结果进行对比分析。研究结果表明:气体扩散模型与数值模拟及实验结果基本一致，但扩散模型计算结果偏小，这是由于推进剂进行了燃烧和氧化反应，扩散区域温度上升，大气稳定度降低，实际浓度更大。     

A protocol for the evaluation of LNG vapour dispersion models

The international transport, storage and utilisation of LNG is growing rapidly. Whilst the LNG industry has an excellent safety record, the possibility of an accidental release cannot be discounted. Internationally-accepted standards, such as the 59A Standard of the US National Fire Protection Association (NFPA), provide direction on the assessment of LNG spill hazards and hazard range criteria which must be met. Modelling of the atmospheric dispersion of LNG vapour from accidental spills is one of the critical steps in such hazard analyses. This paper describes a comprehensive evaluation protocol devised for the 59A Standard, specifically for the assessment of LNG vapour dispersion models. The evaluation protocol is based on methodologies developed in previous European Union studies, which have been extended, significantly adapted and tailored to the specific requirements of the evaluation of models for the dispersion of LNG vapour. The protocol comprises scientific evaluation of the numerical and physical basis of models for the dispersion of LNG vapour, model verification, and validation; resulting in a comprehensive model evaluation report which includes qualitative and quantitative criteria for model acceptance. A supporting suite of validation data, and guidance on the use of this data, has also been produced. The NFPA 59A (2009) standard states that LNG vapour dispersion models are acceptable for use if they have been evaluated in accordance with this protocol.     

Fused CFD-interpolation model for real-time prediction of hazardous gas dispersion in emergency rescue

Accidental releases of hazardous gases in chemical industries can pose great threats to public security. The computational fluid dynamics (CFD) model is commonly applied to predict gas dispersion in complex structured areas. It can provide good accuracy but it is too time-consuming to be used in emergency response. To reduce computation time while keep acceptable accuracy, this paper proposes several fused CFD-interpolation models which combine CFD model with different interpolation methods. Spline, linear and nearest interpolation methods are used. A CFD simulations database is created ahead of time which can be quickly recalled for emergency usage and unknown situations can be predicted instantly by interpolation methods instead of time-consuming CFD model. Fused models were applied to a case study involving a hypothetical propane release with varying conditions and validated against CFD model. The validation shows that prediction accuracy of these fusion models is acceptable. Among these models, CFD-Spline interpolation model performs best. It is faster than CFD model by a factor of 75 and is potentially a good method to be applied to real-time prediction.     

基于GLM模糊评价在煤矿安全中的应用

煤矿安全评价是现代绿色矿山建设的主要指标之一。为对煤矿安全进行有效的评价,综合分析影响煤矿安全的人员因素、地质因素、技术设备因素、环境因素等各项指标。应用广义线性理论和SAS统计分析方法,建立基于GLM模糊评价模型。通过计算各项指标对应等级的煤矿安全影响权重〖AKω- ij,结合模糊综合评价方法得出煤矿的安全生产状况,同时通过优势比分析各指标的敏感性因子,得出防范指标危险性的有效措施。研究表明:该模型依据标准整理数据,操作性强,较准确地得出煤矿安全的状况,为煤矿的安全评价和管理决策提供依据。     

Validation of discharge and atmospheric dispersion for unpressurised and pressurised carbon dioxide releases

This paper discusses the validation of discharge and subsequent atmospheric dispersion for both unpressurised and pressurised carbon dioxide releases using the consequence modelling package Phast.The paper first summarises the validation of the Phast dispersion model (UDM) for unpressurised releases. This includes heavy gas dispersion from either a ground-level line source (McQuaid wind-tunnel experiments) or an area source (Kit-Fox field experiments). For the McQuaid experiments minor modifications of the UDM were made to support line sources. For the Kit Fox experiments steady-state and 20-s finite-duration releases were simulated for both neutral and stable conditions. Most accurate predictions of the concentrations for finite duration releases were obtained using the UDM Finite Duration Correction method.Using experiments funded by BP and Shell and made available via DNV's CO2PIPETRANS JIP, the paper secondly summarises the validation of the Phast discharge and dispersion models for pressurised CO₂ releases. This modelling accounted for the possible presence of the solid CO₂ phase following expansion to atmospheric pressure. These experiments included both high-pressure steady-state and time-varying cold releases (liquid storage) and high-pressure time-varying supercritical hot releases. Both the flow rate and the concentrations were found to be predicted accurately.The above validation was carried out with no fitting whatsoever of the Phast extended discharge and dispersion models.     

电焊条生产行业职业危害统计指标研究

简洁、有效、便利的职业危害统计指标不仅能够提高职业危害评价结果的准确性,更能提高实际工作效率,对职业危害监管工作具有重要的意义。根据电焊条生产行业的特点,通过相关分析法、逐步回归分析法,对几个典型企业的监测数据进行分析,筛选出了最能直接判断电焊条生产行业职业危害状况的统计指标。入选的指标独立性好,适合进一步拟合电焊条生产行业职业危害监管模型。     

Validation of FLACS against experimental data sets from the model evaluation database for LNG vapor dispersion

The siting of facilities handling liquefied natural gas (LNG), whether for liquefaction, storage or regasification purposes, requires the hazards from potential releases to be evaluated. One of the consequences of an LNG release is the creation of a flammable vapor cloud, that may be pushed beyond the facility boundaries by the wind and thus present a hazard to the public. Therefore, numerical models are required to determine the footprint that may be covered by a flammable vapor cloud as a result of an LNG release. Several new models have been used in recent years for this type of simulations. This prompted the development of the “Model evaluation protocol for LNG vapor dispersion models” (MEP): a procedure aimed at evaluating quantitatively the ability of a model to accurately predict the dispersion of an LNG vapor cloud.This paper summarizes the MEP requirements and presents the results obtained from the application of the MEP to a computational fluid dynamics (CFD) model – FLACS. The entire set of 33 experiments included in the model validation database were simulated using FLACS. The simulation results are reported and compared with the experimental data. A set of statistical performance measures are calculated based on the FLACS simulation results and compared with the acceptability criteria established in the MEP. The results of the evaluation demonstrate that FLACS can be considered a suitable model to accurately simulate the dispersion of vapor from an LNG release.     

Validation of CFD-model for hydrogen dispersion

To be able to perform proper consequence modelling as a part of a risk assessment, it is essential to be able to model the physical processes well. Simplified tools for dispersion and explosion predictions are generally not very useful. CFD tools have the potential to model the relevant physics and predict well, but without proper user guidelines based on extensive validation work, very mixed prediction capability can be expected. In this article, recent dispersion validation effort for the CFD tool FLACS–HYDROGEN is presented. A range of different experiments is simulated, including low-momentum releases in a garage, subsonic jets in a garage with stratification effects and subsequent slow diffusion, low momentum and subsonic horizontal jets influenced by buoyancy, and free jets from high-pressure vessels. LH₂ releases are also considered. Some of the simulations are performed as blind predictions.     

Evaluation of multi-phase atmospheric dispersion models for application to Carbon Capture and Storage

A dispersion model validation study is presented for atmospheric releases of dense-phase carbon dioxide (CO₂). Predictions from an integral model and two different Computational Fluid Dynamics (CFD) models are compared to data from field-scale experiments conducted by INERIS, as part of the EU-funded CO₂PipeHaz project.The experiments studied consist of a 2 m³ vessel fitted with a short pipe, from which CO₂ was discharged into the atmosphere through either a 6 mm or 25 mm diameter orifice. Comparisons are made to measured temperatures and concentrations in the multi-phase CO₂ jets.The integral dispersion model tested is DNV Phast and the two CFD models are ANSYS-CFX and a research and development version of FLACS, both of which adopt a Lagrangian particle-tracking approach to simulate the sublimating solid CO₂ particles in the jet. Source conditions for the CFD models are taken from a sophisticated near-field CFD model developed by the University of Leeds that simulates the multi-phase, compressible flow in the expansion region of the CO₂ jet, close to the orifice.Overall, the predicted concentrations from the various models are found to be in reasonable agreement with the measurements, but generally in poorer agreement than has been reported previously for similar dispersion models in other dense-phase CO₂ release experiments. The ANSYS-CFX model is shown to be sensitive to the way in which the source conditions are prescribed, while FLACS shows some sensitivity to the solid CO₂ particle size. Difficulties in interpreting the results from one of the tests, which featured some time-varying phenomena, are also discussed.The study provides useful insight into the coupling of near- and far-field dispersion models, and the strengths and weaknesses of different modelling approaches. These findings contribute to the assessment of potential hazards presented by Carbon Capture and Storage (CCS) infrastructure.