PHAST在LPG储存条件分析中的应用

分别分析了LPG常温加压和低温常压储存的不同特点和LPG储存过程中的危险性和各种可能出现的火灾爆炸事故后果;设定了常见的LPG储存泄漏时效模式,运用PHAST软件模拟分析了LPG常温加压和低温常压储存的各种火灾爆炸事故的危害范围;比较两种储存条件下的危害后果,得出了LPG低温常压储存具有更高的安全性和经济性。     

I-Risk: development of an integrated technical and management risk methodology for chemical installations

This paper presents an integrated quantitative risk assessment method for hazardous installations, taking into account management as well as technical design and producing risk level measures. The key components of the I-Risk methodology are the technical model, the management model and their interface. The technical model consists of developing a master logic diagram (MLD) delineating the major immediate causes of loss of containment (LOC) and associated quantitative models for assessing their frequency. The management model consists of the tasks, which must be carried out systematically in the primary business functions (such as operations, emergency operations, maintenance and modifications). A management audit quantifies the quality of these management tasks. The management–technical interface modifies certain parameters of the technical model on the basis of the quality of the safety management system of the specific installation. The methodology is exemplified through its application to the risk assessment of an ammonia storage facility. A detailed technical model simulating the response of the system to various initiating events is developed along with a detailed management model simulating the influence of the plant-specific management and organisational practices. The overall effect is quantified through the frequency of release of ammonia as a result of a loss of containment in a storage tank and in a pipeline.     

Mapping human vulnerability and risk due to chemical accidents

Chemical accidents in the vicinity of densely populated areas can cause colossal damage. Close proximity of chemical facilities to the general public has been identified as a major issue for increased human exposure in 43% of the accidents investigated by the U.S. Chemical Safety Board (CSB). This emphasises the need for incorporating societal factors in risk assessment to plan actions in order to minimise exposure during accidents. The purpose of this research is to develop a model for the assessment of human vulnerability and risk due to chemical accidents. A GIS based methodology is proposed which uses computer aided hazard modelling tools and technical guidelines to model accidents and assesses population vulnerability. The population vulnerability is determined based on a set of societal indicators derived from relevant research work, expert opinions and suggestions by World Bank. Risk is defined as the probable magnitude of harm to humans and dependent on both the degrees of hazard and vulnerability. A case study is carried out by applying the methodology to Meghnaghat Industrial Area in Bangladesh. Accident scenarios are built and hazard modelling software ALOHA is used to spatially display accident footprints. Vulnerability of population is assessed using data from Bangladesh Bureau of Statistics (BBS) and field survey. The hazard footprints and vulnerability map are superimposed using mapping software ArcGIS to generate a composite risk map. The risk map is used to assess existing land use and recommendations are made for future land use planning. The composite risk map is expected to be of help for effective community response, emergency response planning and allocation of medical and support services during emergencies.     

LPG罐区事故后果模拟与风险控制研究

LPG在储存过程中,可能由于泄漏或灾难性破裂等原因引发火灾、爆炸、中毒等重大事故。首先根据两类危险源理论,辨识与分析了LPG罐区的危险源及其危险性。然后,利用事件树方法,建立了瞬时泄漏和连续泄漏后果模型。通过研究典型的事故后果计算与模拟分析方法、风险确定与表示方法,借助PHAST和LEAK系统模拟分析与计算了某LPG罐区发生泄漏后的事故后果及其影响,并绘制了个人风险等值线和社会风险F-N曲线。最后,根据分析结果提出了多项针对性的风险控制措施。     

Modelling of BP Texas City refinery accident using dynamic risk assessment approach

Process industries involve handling of hazardous substances which on release may potentially cause catastrophic consequences in terms of assets lost, human fatalities or injuries and loss of public confidence of the company. In spite of using endless end-of-the-pipe safety systems, tragic accidents such as BP Texas City refinery still occur. One of the main reasons of such rare but catastrophic events is lack of effective monitoring and modelling approaches that provide early warnings and help to prevent such event. To develop a predictive model one has to rely on past occurrence data, as such events are rare, enough data are usually not available to better understand and model such behavior. In such situations, it is advisable to use near misses and incident data to predict system performance and estimate accident likelihood. This paper is an attempt to demonstrate testing and validation of one such approach, dynamic risk assessment, using data from the BP Texas City refinery incident.Dynamic risk assessment is a novel approach which integrates Bayesian failure updating mechanism with the consequence assessment. The implementation of this methodology to the BP Texas City incident proves that the approach has the ability to learn from near misses, incident, past accidents and predict event occurrence likelihood in the next time interval.     

Risk assessment methodology for high-pressure CO2 pipelines incorporating topography

This paper presents a risk assessment methodology for high-pressure CO₂ pipelines developed at the Health and Safety Laboratory as part of the EU FP7 project CO2Pipehaz.Traditionally, consequence modelling of dense gas releases from pipelines at major hazard impact levels is performed using integral models with limited or no consideration being given to weather bias or topographical features of the surrounding terrain. Whilst dispersion modelling of CO₂ releases from pipelines using three-dimensional CFD models may provide higher levels of confidence in the predicted behaviour of the cloud, the use of such models is resource-intensive and usually impracticable. An alternative is to use more computationally efficient shallow layer or Lagrangian dispersion models that are able to account for the effects of topography whilst generating results within a reasonably short time frame.In the present work, the proposed risk assessment methodology for CO₂ pipelines is demonstrated using a shallow-layer dispersion model to generate contours from a sequence of release points along the pipeline. The simulations use realistic terrain taken from UK topographical data. Individual and societal risk levels in the vicinity of the pipeline are calculated using the Health and Safety Laboratory's risk assessment tool QuickRisk.Currently, the source term for a CO₂ release is not well understood because of its complex thermodynamic properties and its tendency to form solid particles under specific pressure and temperature conditions. This is a key knowledge gap and any subsequent dispersion modelling, particularly when including topography, may be affected by the accuracy of the source term.     

液化石油气罐区火灾爆炸危险性评价

液化石油气罐区属于重大危险源,一旦发生火灾爆炸事故,后果非常严重.评价其安全性,控制其危险,是重大事故预防的思想,也是国家安全生产法律、法规的强制要求.笔者根据安全工程学的相关原理,综合运用重大危险源评价法和灰色聚类法分别对罐区的固有危险性和现实危险性进行了评价,克服了重大危险性评价法未考虑环境因素这一缺陷,最后得出了其火灾爆炸危险性等级,为政府监管和企业对危险源的监控管理提供了可行的科学依据.     

LPG船液货泄漏事故风险评估系统研究

通过对液化石油气(LPG)船舶液货舱泄漏事故危险度因素分析,建立液化气液体货物泄漏源强、蒸气释放源强和蒸气扩散计算模型,并制定泄漏事故风险评价流程,基于VB语言编写泄漏事故风险评估系统。利用该系统能够计算得出泄漏事故发生后蒸发气在不同时刻不同区域的蒸发气浓度、爆炸或火灾后对生命财产的伤害半径以及伤害程度等相关参数。对某航行状态下的LPG实船进行模拟分析,结果表明能够对LPG船舶泄漏事故进行有效风险评估,并能对船舶航行安全应急预案的制定和事故后海事鉴定提供一定的技术帮助。     

Risk assessment of rare events

Rare events often result in large impacts and are hard to predict. Risk analysis of such events is a challenging task because there are few directly relevant data to form a basis for probabilistic risk assessment. Due to the scarcity of data, the probability estimation of a rare event often uses precursor data. Precursor-based methods have been widely used in probability estimation of rare events. However, few attempts have been made to estimate consequences of rare events using their precursors. This paper proposes a holistic precursor-based risk assessment framework for rare events. The Hierarchical Bayesian Approach (HBA) using hyper-priors to represent prior parameters is applied to probability estimation in the proposed framework. Accident precursor data are utilized from an information theory perspective to seek the most informative precursor upon which the consequence of a rare event is estimated. Combining the estimated probability and consequence gives a reasonable assessment of risk. The assessed risk is updated as new information becomes available to produce a dynamic risk profile. The applicability of the methodology is tested through a case study of an offshore blowout accident. The proposed framework provides a rational way to develop the dynamic risk profile of a rare event for its prevention and control.     

RAPID-N: Rapid natech risk assessment and mapping framework

Natech accidents at industrial plants are an emerging risk with possibly serious consequences. For the mitigation of natech risk, authorities need to identify natech prone areas in a systematic manner. In order to facilitate probabilistic natech risk mapping, a unified methodology was developed that is based on the estimation of on-site natural hazard parameters, determination of damage probabilities of plant units, and assessment of probability and severity of possibly triggered natech events. The methodology was implemented as an on-line, extensible risk assessment and mapping software framework called RAPID-N, which allows rapid local and regional natech risk assessment and mapping with minimal data input. RAPID-N features an innovative data estimation framework to complete missing input data, such as on-site natural hazard parameters and plant unit characteristics. The framework is also used for damage assessment and natech consequence analysis, and allows easy modification of input parameters, dynamic generation of consequence models according to data availability, and extension of models by adding new equations or substituting existing ones with alternatives. Results are presented as summary reports and interactive risk maps, which can be used for land-use and emergency planning purposes by using scenario hazards, or for rapid natech consequence assessment following actual disasters. As proof of concept, the framework provides a custom implementation of the U.S. EPA's RMP Guidance for Offsite Consequence Analysis methodology to perform natech consequence analysis and includes comprehensive data for earthquakes. It is readily extendible to other natural hazards and more comprehensive risk assessment methods.     

Review of hydrogen safety during storage,transmission, and applications processes

Hydrogen is considered an excellent clean fuel with potential applications in several fields. There are serious safety concerns associated with the hydrogen process. These concerns need to be thoroughly understood and addressed to ensure its safe operation. To better understand the safety challenges of hydrogen use, application, and process, it is essential to undertake a detailed risk analysis. This can be achieved by performing detailed consequence modellings and assessing risk using the computational fluid dynamics (CFD) approach. This study comprehensively reviews and analyses safety challenges related to hydrogen, focusing on hydrogen storage, transmission, and application processes. Range of release and dispersion scenarios are investigated to analyse associated hazards. Approaches to quantitative risk assessment are also briefly discussed.     

大型LPG罐区火灾爆炸事故后果评估

针对大型LPG(液化石油气)储罐区潜在的火灾爆炸危险性，建立了喷射火、火球、UVCE爆炸和BLEVE爆炸的数学伤害模型，对其发生火灾、爆炸后人员和建筑(设备)所受到的伤害和损伤进行了定量后果评估。     

城市重大危险源区域风险评价方法研究

针对城市应急管理的特点,提出了一种城市重大危险源区域风险评价方法。在ARAMIS方法的基础上,对严重度计算进行了修订,引入了急性暴露指南（AEGL）标准对事故后果进行分区;同时,增加了与应急救援效率相关的指标进行风险目标的脆弱性评估;利用GIS技术,对严重度和脆弱性进行叠加分析,绘制出城市重大危险源区域风险地图。以液氨储罐毒气泄漏事故为例,对文中提出的方法进行了验证。实例分析表明,此方法为快速获取城市重大危险源区域风险的空间分布格局提供了新思路,对于降低城市突发环境污染事故的影响和辅助决策者制定科学的城市公共安全管理决策具有一定的现实意义。     

Fire and explosion disasters occurred due to the Great East Japan Earthquake (March 11, 2011)

The Great East Japan Earthquake (magnitude 9.0 Mw: the moment magnitude scale, based on the seismic moment of the earthquake) occurred at 14:46, March 11, 2011. It triggered huge tsunami waves (seismic sea waves) that reached heights of up to about 20 m. In this paper, the fire and explosion disasters occurred due to the Great East Japan Earthquake are reported shortly. Some fires occurred in seacoast areas after tsunami attacks and some of them were spreading very widely to the tsunami flooded areas. It is important to study the mechanisms of such fires (tsunami fires) for preparing huge tsunami. After the earthquake, a very severe accident happened in the Fukushima Daiichi nuclear power plant. Three reactors experienced full meltdown. During this disaster, hydrogen explosions occurred and made the situation more serious. It has to be realized once again that the countermeasures for hydrogen explosions is indispensable. Also Large scale BLEVEs (Boiling Liquid Expanding Vapor Explosions) happened at LPG storage area in an oil refinery in Chiba Prefecture. This accident started from the falling down of an LPG storage tank by earthquake motions. The tank was heavier than usual, as it was filled with water (1.7 times heavier than LPG) for periodic inspection. Considering these disasters, we have to think about how we prepare the accident of low probability and of very severe consequence. Recently, the risk based approach is widely utilized. However, for such disasters it seems not enough to perform safety management only by risk based approach. Not only probabilistic approach (Risk), but also deterministic approach (Emergency plan, Mitigation technique) should be taken in account.     

成品油站场工艺管道风险辨识与评价

为保障成品油站场工艺管道的安全平稳运行,在充分辨识风险因素的前提下,提出了一种基于KENT法和RBI的风险评价方法。首先,以风险机理分析为基础,采用SHEL模型从导致风险上升的直接原因（风险内因）和间接原因（风险外因）2个角度辨识了风险因素,并细化各因素指标项;然后借鉴KENT法,对各指标项进行评分量化;依据RBI法,采用风险外因体系修正风险内因体系的方式确定失效可能性;综合环境后果、人员后果与商业后果,明确失效后果的评价体系与计算方法;最后,结合失效可能性与失效后果进行风险评价,从风险等级和风险排序2方面为检维修决策提供依据。应用表明:该评价方法便于工艺管道风险评价的基层实施,可为基于风险的检维修决策提供有效技术支撑。     

液化石油气贮罐的危险性评价及安全对策

根据道化学公司火灾爆炸危险度评价原理,通过对某公司200m^3和100m^3液化石油气贮存系统的危险性因素分析,进行了液化石油气贮存系统火灾、爆炸危险性的评价,针对液化石油气的火灾爆炸事故隐患提出了事故防范的安全对策。     

LNG as a potential alternative fuel - Safety and security of storage facilities

The aim of this article is to summarize the safety and security aspects of storing of Liquefied Natural Gas (LNG) as a potential alternative fuel. The contribution deals with possible scenarios of accidents associated with LNG storage facilities and with a methodology for the assessment of vulnerability of such facilities. The protection of LNG storage facilities as element of critical infrastructure should also be a matter of interest to the state. The study presents the results of determination of hazardous zones around LNG facilities in the event of various sorts of release. For calculations, the programs ALOHA, EFFECTS and TerEx were used and results obtained were compared. Scenarios modelled within this study represent a possible approach to the preliminary assessment of risk that should be verified by more detailed modelling (CFD). These scenarios can also be used for a quick estimation of areas endangered by an incident or accident. The results of modelling of the hazardous zones contribute to a reduction in risk of major accidents associated with these potential alternative energy sources.     

Inherent safety tool for explosion consequences study

The lack of formal integration between process design stages with risk and consequence estimation is a hurdle to designing inherently safe process plants. Conventional risk assessment methodologies are often not carried out concurrently with process design. Therefore, process designers lack the information about risk levels and consequence that may result from the process conditions being considered in a particular process route until the design is completed. Hence, effects of changes in process conditions on risk levels and consequence cannot be studied in a time effective manner during the design stages. Few studies have been identified on the possibility and viability of integrating risk estimation with process design. But viable framework and methodology for doing so has not yet been reported. This paper presents a feasible framework in which risk and consequences estimation can be part of design stages. A demonstrative tool named as integrated risk estimation tool (iRET) was developed by using process simulation software, HYSYS and spreadsheet, MS Excel as the platforms. iRET estimates risk due to explosions by using TNT equivalence method and the TNO correlation method. iRET has a potential to be extended to include all forms of risk such as fire, explosion, toxic gas releases and boiling liquid expanding vapour explosion (BLEVE). The paper also presents case studies to demonstrate the functionality and viability of using iRET in conjunction with process design. The results of these case studies have successfully shown that the risk due to explosion can be assessed during the initial design stage ensuring a safer plant. The framework and iRET there by presented here provide systematic methodology and technology to design inherently safer plants.     

The development of a more risk-sensitive and flexible airport safety area strategy: Part I. The development of an improved accident frequency model

This two-part paper presents the development of an improved airport risk assessment methodology aimed at assessing risks related to aircraft accidents at and in the vicinity of airports and managing airport safety areas (ASAs) as a risk mitigation measure. The improved methodology is more quantitative, risk-sensitive, flexible and transparent than standard risk assessment approaches. As such, it contributes to the implementation of Safety Management Systems at airports, as stipulated by the International Civil Aviation Organisation.The first part of the paper presents the methodological advances made in the development of accident frequency models; namely the building of a single comprehensive database of all relevant accident types, the collection and use of normal operations data in quantifying the criticality of a series of risk factors, and modelling accident frequency using multivariate logistic regression. The resulting models have better goodness-of-fit, sensitivity and specificity than standard risk assessment methodologies.