乏燃料后处理设施概率安全分析方法研究

Jinghan Zhang, Jun Zhao, Jie Hou
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引用次数: 0

摘要

概率安全分析方法是一种基于概率论的系统分析方法。基于PSA方法,可以清晰地识别大型复杂系统中各种因素之间的关系和相互作用,并可以正确地建模事故场景。经过多年的发展,PSA逐渐成为评价核电站安全性的重要工具,并得到了广泛的应用。对于乏燃料后处理设施的安全分析,目前仍多采用确定性安全分析方法。在乏燃料后处理设施中引入定量概率安全分析方法是有益的。乏燃料后处理装置有许多与核电站完全不同的特点。因此,我们应该建立一个新的乏燃料后处理工厂PSA框架。研究了乏燃料后处理设施安全评价方法和PSA法,根据乏燃料后处理设施的风险特点,对PSA法的各技术要素进行了调整。研究了PSA方法在应用中可能存在的问题,并提出了相应的解决方案,建立了适用于乏燃料后处理设施的PSA方法体系。最后,采用PSA法对选定的乏燃料后处理设施典型工艺进行了安全性评价,得到了具有实际应用价值的分析结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Study on Probabilistic Safety Analysis Method of Spent Fuel Reprocessing Facilities
Probabilistic safety analysis (PSA) method is a systematic analysis method based on probability theory. Based on the PSA method, the relationship and interaction between various factors in a large and complex system can be recognized clearly, and the accident scenarios can be modeled correctly. After years of development, PSA has gradually become an important tool for evaluating the safety of nuclear power plants, and has been widely used. For the safety analysis of spent fuel reprocessing facilities, deterministic safety analysis methods are still mostly used. It is beneficial to introduce quantitative probabilistic safety analysis methods into spent fuel reprocessing facilities. For spent fuel reprocessing plants, there are many features which are totally different from nuclear power plants. Therefore, we are supposed to establish a new framework for PSA of spent fuel reprocessing plants. In this study, the spent fuel reprocessing facilities safety evaluation methods and the PSA method were investigated, based on the risk characteristics of spent fuel reprocessing facilities, every technical element of PSA method was adjusted. We studied the possible problems existing in the application of PSA method and proposed corresponding solutions, and then established a PSA method system suitable for spent fuel reprocessing facilities. Finally, we used PSA method to evaluate the safety of the selected typical processes of spent fuel reprocessing facilities and got the analysis result which is useful for practical application.
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