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首页> 外文会议>International topical meeting on probabilistic safety assessment and analysis >NPP CONTROL ROOM HABIT ABILITY ASSESSMENT DUE TO AN ACCIDENTAL TOXIC RELEASE FROM AN EXTERNAL EVENT APPLYING PROBABILISTIC APPROACH. PART 1: ATMOSPHERIC DISPERSION
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NPP CONTROL ROOM HABIT ABILITY ASSESSMENT DUE TO AN ACCIDENTAL TOXIC RELEASE FROM AN EXTERNAL EVENT APPLYING PROBABILISTIC APPROACH. PART 1: ATMOSPHERIC DISPERSION

机译：由于采用可能的方法而从外部事件中意外释放毒气，因此对NPP控制室的能力进行了评估。第1部分：大气色散

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The studied external event consists of an accidental release of toxic gas coming from a rail shipment. For this kind of event, RG 1. 78 recommends to apply screening criteria of different parameters that influence on the amount of released hazardous material. In case of relevant values, the atmospheric dispersion must be evaluated by conservative codes considering the worst conditions. The goal of this study is to obtain additional information about Control Room (CR) vulnerability, by applying a probabilistic methodology. The selected methodology is Monte Carlo (MC) simulation, which also informs about importance of different combinations of initial and boundary conditions. Due to the complexity of the analysis, the rail accident and the atmospheric dispersion phenomena have been studied separately. In this paper, part 1, all possible meteorological scenarios that can transport toxic vapors from the different release points to the control room intake of a Spanish Nuclear Power Plant (NPP) are analyzed. Results provide with a probability density function (PDF) of toxic concentration values in the CR, which combined with train accident frequencies, allow to obtain frequency a year that the Control Room Habitability (CRH) is compromised. The results also indicate that the critical values do not necessarily come from the nearest points to the plant, concluding that the probabilistic approach, in any case, returns useful information about safety.
机译：研究的外部事件包括铁路运输意外释放的有毒气体。对于此类事件，RG 1. 78建议采用影响释放有害物质数量的不同参数的筛选标准。在有相关值的情况下，考虑到最恶劣的条件，必须通过保守法规评估大气扩散。这项研究的目的是通过应用一种概率方法来获得有关控制室（CR）漏洞的更多信息。选择的方法是蒙特卡洛（MC）模拟，它还可以说明初始条件和边界条件的不同组合的重要性。由于分析的复杂性，分别研究了铁路事故和大气弥散现象。在本文的第1部分中，分析了可以将有毒蒸气从不同释放点传输到西班牙核电站（NPP）的控制室进气口的所有可能的气象情景。结果提供了CR中毒物浓度值的概率密度函数（PDF），该函数与火车事故发生频率相结合，可以获取控制室居住能力（CRH）受损一年的频率。结果还表明，临界值不一定来自最接近工厂的点，因此得出结论，无论如何，概率方法都会返回有关安全性的有用信息。

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