将PIRT方法应用于与工业需求相关的气象灾害:收益和经验教训

Tiphaine Le Morvan, Arièle Défossez, Mickaël Kreitz
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摘要

作为一家综合性的核工程师和运营商,法国电力公司在研究极端自然灾害以进行其核电站(NPPs)机组安全论证方面有着深厚的背景。自然灾害概率安全分析的最新发展和发展为我们的研究提供了一个更深入的机会。为了加强或(如果需要的话)调整我们关于自然灾害详细特征的假设,我们决定调查法国强风和降雨相关的详细现象。PIRT过程(现象识别和排名表)通过系统地分析相关参数及其对感兴趣的情景的影响,允许采用面向物理的方法来处理复杂现象。这种方法似乎是一种合理的方法,可以更深入地研究与强风和降雨相关的现象。这种方法用于核能领域,例如,作为对复杂瞬态数值模拟的支持,在这里对复杂的自然现象进行了测试。强风,降雨和其他相关现象是非常复杂的,如果一个人希望考虑一个高的细节水平。在工作期间决定将技术复杂性限制在与工业问题有关的水平。即使有了这种简化,吸取的经验教训将使法国电力公司在未来的研究中更加精确,例如关于强风方向和某些特定地理位置的某些现象的研究。本文描述了PIRT方法以及针对强风和降雨对经典PIRT步骤所做的修改。我们还概述了我们从PIRT应用程序中学到的主要经验教训,以及我们能够获得的关于我们研究的特定需求的分析。我们发现,PIRT方法可以通过以下调整用于研究气象现象学:-一个适应的细节水平-一些非常复杂的方面,在研究与开发(R&D)或先进的气象专业知识中没有被考虑在本练习中-使用PIRT作为一种方式来呈现和组织一个主题的先进知识。目的是更多地阐明最终用户的问题,比如更好地理解强风安全示范研究的潜在物理过程:速度、方向、持续时间……这项工作之所以能够进行,要归功于与法国国家气象局msamtsamo France的大力合作,后者是提供气象学技术和科学知识的参考专家。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Applying the PIRT Approach to the Meteorological Hazards Wind and Rainfall in Relation to Industrial Needs: Benefits and Lessons Learned
As an integrated nuclear engineer and operator, EDF has a strong background in studying extreme natural hazards for its Nuclear Power Plants (NPPs) fleet safety demonstration. The state-of-the art evolution and the development of natural hazards Probabilistic Safety Analysis provide an opportunity to go more in depth in our studies. To reinforce or, if need be, to adjust our hypotheses regarding the detailed characterization of natural hazards, we decided to investigate the detailed phenomenology associated with strong winds and rainfall in France. The PIRT process (Phenomena Identification and Ranking Table) allows a physics-oriented approach to complex phenomena by systematically analyzing relevant parameters and their influence on a scenario of interest. This approach appears like a legitimate way to go more in depth in the phenomenology associated with strong winds and rainfall. This approach, used in the nuclear energy field, for example, as support for complex transients numerical modelling, is here tested on complex natural phenomena. Strong winds, rainfall and other associated phenomena are very complex if one wishes to consider a high detail level. It was decided during the exercise to limit the technical complexity to a level relevant to industrial concerns. Even with this simplification, the lessons learned will allow EDF to be more precise in future studies, such as those regarding strong winds directions and some phenomena specific to certain geographical locations. This article describes the PIRT approach and modifications that were made to the classical PIRT steps both for strong winds and rainfall. We also outline the main lessons we learned, from the PIRT application and regarding the analysis we were able to gain regarding specific needs for our studies. We found that the PIRT approach can be used to study meteorological phenomenology with the following adaptations: - An adapted detail level — some very complex aspects, coming under Research & Development (R&D) or advanced meteorological expertise have not been taken into account in the present exercise - Use the PIRT as a way to present and organize advanced knowledge on a subject. The aim is to shed more light on an end user issue, like to better comprehend the underlying physical processes for strong winds safety demonstration studies: speed, direction, duration ... The exercise was possible thanks to the strong collaboration with Météo France, the national French Meteorological Agency, who was the referent expert bringing the technical and scientific knowledge on meteorology.
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