Risk Evaluation of Ammonia Leakage based on Modified Probability Calculation Formulas

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  • 1. Key Laboratory of Efficient Utilization of Low and Medium Grade Energy, MOE, School of Mechanical Engineering, Tianjin University, Tianjin 300072, China
    2. State Key Laboratory of Air-Conditioning Equipment and System Energy Conservation, GREE Electric Appliances, Inc. of Zhuhai, Guangdong 519070, China

网络出版日期: 2023-11-28

基金资助

This work was supported by the State Key Program of the National Natural Science Foundation of China (Grant No. 51936007).

版权

Science Press, Institute of Engineering Thermophysics, CAS and Springer-Verlag GmbH Germany, part of Springer Nature 2023

Risk Evaluation of Ammonia Leakage based on Modified Probability Calculation Formulas

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  • 1. Key Laboratory of Efficient Utilization of Low and Medium Grade Energy, MOE, School of Mechanical Engineering, Tianjin University, Tianjin 300072, China
    2. State Key Laboratory of Air-Conditioning Equipment and System Energy Conservation, GREE Electric Appliances, Inc. of Zhuhai, Guangdong 519070, China

Online published: 2023-11-28

Supported by

This work was supported by the State Key Program of the National Natural Science Foundation of China (Grant No. 51936007).

Copyright

Science Press, Institute of Engineering Thermophysics, CAS and Springer-Verlag GmbH Germany, part of Springer Nature 2023

摘要

氨具有易燃、易爆和强腐蚀的特性,导致氨泄漏引发的火灾和爆炸事故时有发生。本文根据氨系统泄漏概率风险评估模型计算的泄漏空间氨浓度分布特点,构建时间与空间修正项对泄漏概率风险评估模型进行修正,利用氨系统机房泄漏空间浓度场验证了进行了修正模型的准确性,并对不同的泄漏场景展开了定量分析,以探寻氨制冷系统潜在的危险泄漏点。研究结果表明:随着扩散时间的增加,氨气在泄漏空间内达到可燃下限的时间越长。氨系统中的危险泄漏主要集中在氨储罐和冷凝器部位。氨系统动态泄漏过程中,泄漏孔处的质量流量随泄漏时间逐渐降低,质量流量随泄漏孔直径的增加而增加。当泄漏孔形状越接近圆形,其泄漏孔处的质量流量越大,泄漏空间危险性越高。

本文引用格式

GE Yingying, YANG Zhao, HE Hongxia, WU Xiaokun, CHEN Yubo, LV Zijian, ZHANG Yong . Risk Evaluation of Ammonia Leakage based on Modified Probability Calculation Formulas[J]. 热科学学报, 2023 , 32(2) : 854 -865 . DOI: 10.1007/s11630-023-1781-3

Abstract

Due to its flammable, explosive, and corrosive characteristics, fire, and explosion accidents caused by ammonia leakage occur from time to time. In this work, the concentration distribution of the model was calculated according to the existing formula of probabilistic risk assessment. Using the revised formulas, the leakage of the ammonia room was quantitatively analyzed, and different state parameters were analyzed to find out the dangerous leakage points of the ammonia refrigeration system. The results of the calculation are that the existence of obstacles in the space will increase the probability of leakage risk. And the greater the leakage time to the lower flammability limit accounts for the total leakage time, the greater the risk probability. Dangerous leakage in ammonia systems mainly occurs in storage tanks and condensers. The data show that the dynamic mass flow of ammonia leakage decreases with time, and the leakage diameter increases with the increase of leakage pressure. At the same time, the leakage mass increases gradually with the leakage aperture near circular.

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