A grid-based risk screening method for fire and explosion events of hydrogen refuelling stations

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    Abstract

    As hydrogen is a comparatively less safe fuel compared to conventional fuels such as gasoline and diesel, major accidents such as explosions and fires at hydrogen refuelling stations close to residential areas may lead to catastrophic consequences. It is difficult for a traditional quantitative risk analysis (QRA) method to efficiently assess human safety in a large region that includes not only the hydrogen refuelling station but also nearby commercial and residential areas. Therefore, a grid-based risk mapping method has been developed to enable efficient and detailed risk screening of such large areas. The target area is divided into a number of grids of an appropriate size, and a risk analysis is conducted for each grid. A total risk map can be depicted based on the risk evaluations of all grids, and a detailed risk assessment can then be applied to the most hazardous grids. Meanwhile, in order to consider multiple consequences and the complex interrelationships between risk factors, a Bayesian network (BN) model is implemented for the proposed method. At the same time, to reduce uncertainties caused by a shortage of data, three kinds of data—practical information, computational simulations and subjective judgements—are involved in the quantification of the proposed BN. The results from the case study show that the proposed method is capable of effectively conducting risk screenings for large and complex situations.

    Original languageEnglish
    Pages (from-to)442-454
    Number of pages13
    JournalInternational Journal of Hydrogen Energy
    Volume43
    Issue number1
    DOIs
    Publication statusPublished - 4 Jan 2018

    Fingerprint

    refueling
    Explosions
    explosions
    Screening
    Fires
    screening
    stations
    grids
    Hydrogen
    hydrogen
    Bayesian networks
    Risk analysis
    residential areas
    Risk assessment
    risk assessment
    Gasoline
    gasoline
    Accidents
    accidents
    safety

    Cite this

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    title = "A grid-based risk screening method for fire and explosion events of hydrogen refuelling stations",
    abstract = "As hydrogen is a comparatively less safe fuel compared to conventional fuels such as gasoline and diesel, major accidents such as explosions and fires at hydrogen refuelling stations close to residential areas may lead to catastrophic consequences. It is difficult for a traditional quantitative risk analysis (QRA) method to efficiently assess human safety in a large region that includes not only the hydrogen refuelling station but also nearby commercial and residential areas. Therefore, a grid-based risk mapping method has been developed to enable efficient and detailed risk screening of such large areas. The target area is divided into a number of grids of an appropriate size, and a risk analysis is conducted for each grid. A total risk map can be depicted based on the risk evaluations of all grids, and a detailed risk assessment can then be applied to the most hazardous grids. Meanwhile, in order to consider multiple consequences and the complex interrelationships between risk factors, a Bayesian network (BN) model is implemented for the proposed method. At the same time, to reduce uncertainties caused by a shortage of data, three kinds of data—practical information, computational simulations and subjective judgements—are involved in the quantification of the proposed BN. The results from the case study show that the proposed method is capable of effectively conducting risk screenings for large and complex situations.",
    keywords = "Bayesian network, Grid-based method, Human safety, Hydrogen refuelling station, Risk analysis",
    author = "Yimiao Huang and Guowei Ma",
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    AU - Ma, Guowei

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    N2 - As hydrogen is a comparatively less safe fuel compared to conventional fuels such as gasoline and diesel, major accidents such as explosions and fires at hydrogen refuelling stations close to residential areas may lead to catastrophic consequences. It is difficult for a traditional quantitative risk analysis (QRA) method to efficiently assess human safety in a large region that includes not only the hydrogen refuelling station but also nearby commercial and residential areas. Therefore, a grid-based risk mapping method has been developed to enable efficient and detailed risk screening of such large areas. The target area is divided into a number of grids of an appropriate size, and a risk analysis is conducted for each grid. A total risk map can be depicted based on the risk evaluations of all grids, and a detailed risk assessment can then be applied to the most hazardous grids. Meanwhile, in order to consider multiple consequences and the complex interrelationships between risk factors, a Bayesian network (BN) model is implemented for the proposed method. At the same time, to reduce uncertainties caused by a shortage of data, three kinds of data—practical information, computational simulations and subjective judgements—are involved in the quantification of the proposed BN. The results from the case study show that the proposed method is capable of effectively conducting risk screenings for large and complex situations.

    AB - As hydrogen is a comparatively less safe fuel compared to conventional fuels such as gasoline and diesel, major accidents such as explosions and fires at hydrogen refuelling stations close to residential areas may lead to catastrophic consequences. It is difficult for a traditional quantitative risk analysis (QRA) method to efficiently assess human safety in a large region that includes not only the hydrogen refuelling station but also nearby commercial and residential areas. Therefore, a grid-based risk mapping method has been developed to enable efficient and detailed risk screening of such large areas. The target area is divided into a number of grids of an appropriate size, and a risk analysis is conducted for each grid. A total risk map can be depicted based on the risk evaluations of all grids, and a detailed risk assessment can then be applied to the most hazardous grids. Meanwhile, in order to consider multiple consequences and the complex interrelationships between risk factors, a Bayesian network (BN) model is implemented for the proposed method. At the same time, to reduce uncertainties caused by a shortage of data, three kinds of data—practical information, computational simulations and subjective judgements—are involved in the quantification of the proposed BN. The results from the case study show that the proposed method is capable of effectively conducting risk screenings for large and complex situations.

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    KW - Grid-based method

    KW - Human safety

    KW - Hydrogen refuelling station

    KW - Risk analysis

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