Accidental Release of Ammonia During Ammonia Bunkering: Dispersion Behaviour Under the Influence of Operational and Weather Conditions in Singapore

Ng, Clara Kay Leng; Liu, Ming; Lam, Jasmine Siu Lee; Yang, Mengyao

doi:10.2139/ssrn.4287860

SSRN Journal

2022

DOI: 10.2139/ssrn.4287860

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Accidental Release of Ammonia During Ammonia Bunkering: Dispersion Behaviour Under the Influence of Operational and Weather Conditions in Singapore

Clara Kay Leng Ng¹,

Ming Liu²,

Jasmine Siu Lee Lam³

et al.

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“…21 Rathinam et al analyzed the resilience of the ammonia storage area using the Resilience-based Integrated Process System Hazard Analysis and statistically validated using one-way analysis of variance (ANOVA). 22 Reference [23] simulated how key operational parameters affect ammonia dispersion and the consequences. The toxic impacts and consequences of the exposure using PHAST software are assessed.…”

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confidence: 99%

Risk assessment of liquid ammonia tanks based on Bayesian network and Probit model

Zhang,

Wang,

Chen

et al. 2023

Process Safety Progress

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This paper presents a quantitative risk assessment method to predict the potential risks of liquid ammonia tanks. The method combines probabilistic prediction and consequence assessment: the former is predicted by Bayesian networks derived from bow‐tie mapping, in which the conditional probabilities are determined by analytic hierarchy process, the latter is calculated based on numerical simulation of accident consequences and Probit probability model. The application results show that the method can be used for quantitative risk assessment of liquid ammonia storage tank, and the Bayesian network model is efficient and stable, which can realize risk prediction, accident causes analysis and risk mitigation analysis. Human errors during production or maintenance and corrosion are the main causes of liquid ammonia leakage. Toxicity has the greatest effect on the risk of liquid ammonia tanks. Risk mitigation measures can significantly reduce individual risk and societal risk. The obtained results provide meaningful guidance for the prevention and risk mitigation strategies of liquid ammonia leakage accidents, so as to improve the safety level of liquid ammonia during storage.

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mentioning

confidence: 99%

Risk assessment of liquid ammonia tanks based on Bayesian network and Probit model

Zhang,

Wang,

Chen

et al. 2023

Process Safety Progress

View full text Add to dashboard Cite

show abstract

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Accidental Release of Ammonia During Ammonia Bunkering: Dispersion Behaviour Under the Influence of Operational and Weather Conditions in Singapore

Cited by 1 publication

References 0 publications

Risk assessment of liquid ammonia tanks based on Bayesian network and Probit model

Risk assessment of liquid ammonia tanks based on Bayesian network and Probit model

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