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一种基于风险的可燃气体探测器间距方法。

A risk-based approach to flammable gas detector spacing.

作者信息

Defriend Stephen, Dejmek Mark, Porter Leisa, Deshotels Bob, Natvig Bernt

机构信息

Fluor Inc., Sugar Land, Texas, USA.

出版信息

J Hazard Mater. 2008 Nov 15;159(1):142-51. doi: 10.1016/j.jhazmat.2007.07.123. Epub 2007 Oct 10.

DOI:10.1016/j.jhazmat.2007.07.123
PMID:18023974
Abstract

Flammable gas detectors allow an operating company to address leaks before they become serious, by automatically alarming and by initiating isolation and safe venting. Without effective gas detection, there is very limited defense against a flammable gas leak developing into a fire or explosion that could cause loss of life or escalate to cascading failures of nearby vessels, piping, and equipment. While it is commonly recognized that some gas detectors are needed in a process plant containing flammable gas or volatile liquids, there is usually a question of how many are needed. The areas that need protection can be determined by dispersion modeling from potential leak sites. Within the areas that must be protected, the spacing of detectors (or alternatively, number of detectors) should be based on risk. Detector design can be characterized by spacing criteria, which is convenient for design - or alternatively by number of detectors, which is convenient for cost reporting. The factors that influence the risk are site-specific, including process conditions, chemical composition, number of potential leak sites, piping design standards, arrangement of plant equipment and structures, design of isolation and depressurization systems, and frequency of detector testing. Site-specific factors such as those just mentioned affect the size of flammable gas cloud that must be detected (within a specified probability) by the gas detection system. A probability of detection must be specified that gives a design with a tolerable risk of fires and explosions. To determine the optimum spacing of detectors, it is important to consider the probability that a detector will fail at some time and be inoperative until replaced or repaired. A cost-effective approach is based on the combined risk from a representative selection of leakage scenarios, rather than a worst-case evaluation. This means that probability and severity of leak consequences must be evaluated together. In marine and offshore facilities, it is conventional to use computational fluid dynamics (CFD) modeling to determine the size of a flammable cloud that would result from a specific leak scenario. Simpler modeling methods can be used, but the results are not very accurate in the region near the release, especially where flow obstructions are present. The results from CFD analyses on several leak scenarios can be plotted to determine the size of a flammable cloud that could result in an explosion that would generate overpressure exceeding the strength of the mechanical design of the plant. A cloud of this size has the potential to produce a blast pressure or flying debris capable of causing a fatality or subsequent damage to vessels or piping containing hazardous material. In cases where the leak results in a fire, rather than explosion, CFD or other modeling methods can estimate the size of a leak that would cause a fire resulting in subsequent damage to the facility, or would prevent the safe escape of personnel. The gas detector system must be capable of detecting a gas release or vapor cloud, and initiating action to prevent the leak from reaching a size that could cause injury or severe damage upon ignition.

摘要

可燃气体探测器可使运营公司在泄漏情况变得严重之前就加以应对,通过自动报警以及启动隔离和安全通风措施来实现。如果没有有效的气体检测,对于可燃气体泄漏演变成可能导致人员伤亡或升级为附近容器、管道和设备连锁故障的火灾或爆炸,几乎没有什么防御手段。虽然人们普遍认识到在含有可燃气体或挥发性液体的工艺装置中需要一些气体探测器,但通常存在需要多少探测器的问题。需要保护的区域可通过对潜在泄漏点进行扩散建模来确定。在必须保护的区域内,探测器的间距(或者说探测器的数量)应基于风险来确定。探测器设计可以通过间距标准来表征,这便于设计——或者通过探测器数量来表征,这便于成本报告。影响风险的因素因具体场所而异,包括工艺条件、化学成分、潜在泄漏点的数量、管道设计标准、工厂设备和结构的布局、隔离和减压系统的设计以及探测器测试的频率。诸如上述这些具体场所因素会影响气体检测系统必须检测到的可燃气体云团的大小(在特定概率内)。必须指定一个检测概率,以使设计具有可容忍的火灾和爆炸风险。为了确定探测器的最佳间距,重要的是要考虑探测器在某个时候发生故障并在更换或修复之前无法运行的概率。一种具有成本效益的方法是基于对一系列具有代表性的泄漏场景的综合风险,而不是最坏情况评估。这意味着必须同时评估泄漏后果的概率和严重性。在海洋和近海设施中,通常使用计算流体动力学(CFD)建模来确定特定泄漏场景可能产生的可燃云团的大小。可以使用更简单的建模方法,但在泄漏点附近区域结果不是很准确,特别是在存在流动障碍物的地方。对几种泄漏场景进行CFD分析的结果可以绘制出来,以确定可能导致爆炸且超压超过工厂机械设计强度的可燃云团的大小。这种大小的云团有可能产生能够导致人员死亡或对装有危险材料的容器或管道造成后续损坏的爆炸压力或飞溅碎片。在泄漏导致火灾而非爆炸的情况下,CFD或其他建模方法可以估计会导致火灾并对设施造成后续损坏或会阻碍人员安全逃生的泄漏大小。气体检测系统必须能够检测到气体释放或蒸汽云团,并采取行动防止泄漏达到一旦着火就可能造成人员伤害或严重损坏的规模。

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