氢处理新风险的功能共振分析方法:实验测试分析

Seyed Iliya Pezeshki , Abhishek Subedi , Teymur Gogiyev , Andrea Falegnami , Federico Ustolin , Nicola Paltrinieri
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引用次数: 0

摘要

在能源领域,氢作为化石燃料的替代品正在崛起。虽然这种替代不会戏剧性地发生,但与氢相关的研究的稳步增长可能是这种愿望的一个很好的指标。就目前而言,它的安全处理和使用存在问题;因此,卫生和安全分部门明显地观察到这种情况。由于我们还不知道氢在危急情况下的行为,不确定性使这些任务容易出现新的风险。因此,氢安全属于新兴风险研究的范畴。传统的安全观点,特别是对于易燃材料,主要集中在计算系统故障的假设风险。弹性工程有了另一个视角,因为它关注的是正常的操作,从新的角度为应对新出现的风险提供了新的视角。源于弹性工程的核心,功能共振分析方法(FRAM)以一种有形的方式捕捉了社会技术系统的本质。在本研究中,FRAM被用于模拟一系列关于氢气管理的实验,以分析其喷射火焰。FRAM用于测试该方法是否适合为存在新出现风险的系统建模。这项研究的结论是,FRAM似乎有希望提高风险意识,特别是在可用数据有限的情况下。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Functional resonance analysis method for emerging risks in hydrogen handling: An analysis of an experimental test
Hydrogen is on the rise as a substitute for fossil fuel in the energy sector. While this substitution does not happen dramatically, the steady increase in hydrogen related research might be a good indicator of such desire. As it stands, there are issues regarding its safe handling and use; consequently, the health and safety subsectors observe the situation conspicuously. As we yet to know the behavior of hydrogen in critical situations, uncertainties make these tasks prone to emerging risks. Thus, hydrogen safety falls under emerging risk studies. Conventional perspective on safety, especially regarding the flammable material, focuses on calculating the hypothetical risks of failures in system. Resilience Engineering has another perspective as it focuses on normal operations, offering new perspectives to tackle emerging risks from a new angle. Born from the heart of resilience engineering, the functional resonance analysis method (FRAM) captures sociotechnical systems’ essence in a tangible way. In this study, FRAM has been used to model a series of experiments done on hydrogen management to analyze its jet fire. FRAM is used to test whether the method could be suitable to model a system in which emerging risks are present. It is the conclusion of this study that FRAM seems promising in raising risk awareness, especially when available data is limited.
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