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Analysis of operator human errors in hydrogen refuelling stations: Comparison between human rate assessment techniques

机译:加氢站操作人员的人为错误分析:人为评估方法之间的比较

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The use of hydrogen as an energy carrier for road transport appears to be an optimal solution for the reduction of greenhouse gas emissions. Nevertheless, the development of this technology depends on the growth and diffusion of production, storage and refuelling infrastructures together with accurate risk analyses to appropriately design the safety and management systems used in these plants. Moreover, to improve safety standards, it is also important to focus attention on the estimation of hazards related to human factors, as this is one of the major causes leading to accidental events, especially in complex industrial technology. The paper reports a case study relevant to operator errors that occur during maintenance procedures on safety venting devices in refuelling station hydrogen storage systems performed using first- and second-generation Human Rate Assessment (HRA) techniques. HEART (Human Error Assessment and Reduction Technique) methodology, a first-generation HRA method, which was modified on the basis of the fuzzy set concept, was employed to evaluate the probability of erroneous actions. The obtained results have been compared with results obtained using CREAM (second-generation) methodology. The critical analyses of the obtained results have also allowed to provide procedural recommendations and suggestions regarding safety equipment and procedures which can be adopted to reduce the risk of accidents.
机译:使用氢气作为公路运输的能源载体似乎是减少温室气体排放的最佳解决方案。然而,这项技术的发展取决于生产,存储和加油基础设施的增长和扩散,以及准确的风险分析,以适当设计这些工厂中使用的安全和管理系统。此外,为了提高安全标准,将注意力集中在与人为因素有关的危害的估计上也很重要,因为这是导致意外事件的主要原因之一,特别是在复杂的工业技术中。本文报告了一个案例研究,该案例研究涉及在使用第一代和第二代人工率评估(HRA)技术执行的加油站氢气存储系统安全排气装置维护程序期间发生的操作员错误。 HEART(人为错误评估和减少技术)方法是第一代HRA方法,它在模糊集概念的基础上进行了修改,用于评估错误动作的可能性。将获得的结果与使用CREAM(第二代)方法获得的结果进行了比较。对获得的结果进行严格的分析也可以提供有关安全设备和程序的程序性建议和建议,这些建议和建议可用于降低事故风险。

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