Thermal runaway incidents-a serious cause of concern: An analysis of runaway incidents in China

Zhang, Haoran; Bai, Mingqi; Wang, Xinyu; Gai, Jianing; Shu, Chi‐Min; Roy, Nitin; Liu, Yi

doi:10.1016/j.psep.2021.09.027

Cited by 33 publications

(12 citation statements)

References 34 publications

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“…Chemical safety is a major concern worldwide as it affects both human life and the sustainability of the environment. − Many safety coordinating agencies operating under the World Health Organization (WHO) are concerned with safety-related issues. − Due to a series of recent events experienced in the chemical sciences, such as deaths, dismemberments, and fires, laboratory safety should be strictly followed in every chemical laboratory setting. − …”

Section: Introductionmentioning

confidence: 99%

Evaluating and Promoting Chemical Safety Awareness in the Chemical Sciences

Sonawane¹,

Patil²,

Tigaa

2022

J. Chem. Educ.

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Section: Introductionmentioning

confidence: 99%

Evaluating and Promoting Chemical Safety Awareness in the Chemical Sciences

Sonawane¹,

Patil²,

Tigaa

2022

J. Chem. Educ.

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“…Many researchers use NLP for accident data collection and analysis. Zhang et al used NLP to collect and analyze thermal runaway accidents in China . Xu et al used NLP to analyze the causes of hot work accidents in China .…”

Section: Inherent Hazards Assessment Indexmentioning

confidence: 99%

Inherent Hazards Assessment and Classification Method for University Chemical Laboratories in China

Liu

Meng

et al. 2023

ACS Chem. Health Saf.

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In recent years, chemical laboratory accidents have frequently occurred in Chinese universities. A three-year safety inspection by the Ministry of Education of China discovered many issues in university chemical laboratories, including inadequate hazards identification, limited risk awareness, and insufficient safety management. In view of these problems, this study established the inherent hazards assessment and classification (IHAC) method for university chemical laboratories. We quantitatively evaluated the materials, equipment, and processes of chemical laboratories for inherent hazards. To differentiate levels of supervision over inherent hazards, we separated chemical laboratories into four tiers: A, B, C, and D. We used IHAC in a Chinese university's chemical laboratory to show that it can effectively identify and evaluate laboratory dangers. Simultaneously, splitting laboratories into multiple levels can result in more targeted laboratory safety management and accident prevention.

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“…It is very easy for it to undergo violent self-decomposition and evolve into a thermal runaway in its production, storage, and transportation, and eventually lead to malignant safety accidents, disastrous environmental pollution, and other related problems. [3][4][5] Recently, our research group 6 counted and analyzed 271 thermal runaway incidents that occurred in China from 1984 to 2019. Figure 1 shows the number of thermal runaway incidents involving nitrification reactions among the seven major reaction types in the chemical industry during the period and the corresponding number of deaths.…”

Section: Introductionmentioning

confidence: 99%

Thermal risk classification optimization of flammable aromatic nitro compounds: Experiments and QSPR models

Qin

Dang

Meng

et al. 2022

Process Safety Progress

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In view of the frequent occurrence of major fires and explosions in the production, transportation, and storage of aromatic nitro compounds, the reactive thermal hazards of these compounds have attracted widespread attention in the chemical industry. Thermal hazard assessment is of great significance for the standardized storage of reactive chemicals. Based on adiabatic calorimetry and quantitative structureproperty relationship (QSPR) prediction, a thermal hazard assessment and classification method dominated by the molecular structure of nitro compounds were proposed. While obtaining thermodynamic parameters, stable configuration and molecular descriptors, the prediction models were constructed by multiple linear regression (MLR) and artificial neural network (ANN), respectively, including selfaccelerating decomposition temperature (SADT), maximum power density (MPD), and the apparent activation energy (E a ). On this basis, SADT, H 50 , and E a were selected as the possible characterization parameters of thermal risk of nitro compounds, while MPD and ΔT ad were selected as the characterization parameters of consequence severity. When combined with weight and reference TNT, this method comprehensively evaluated the thermal hazards of nitro compounds and divided them into four types of thermal hazard levels. By comparing the method with the previous classification standards, it is found that the evaluation method is expected to provide theoretical support for the safe standardized storage of nitro compounds in chemical enterprises.

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Thermal runaway incidents-a serious cause of concern: An analysis of runaway incidents in China

Cited by 33 publications

References 34 publications

Evaluating and Promoting Chemical Safety Awareness in the Chemical Sciences

Evaluating and Promoting Chemical Safety Awareness in the Chemical Sciences

Inherent Hazards Assessment and Classification Method for University Chemical Laboratories in China

Thermal risk classification optimization of flammable aromatic nitro compounds: Experiments and QSPR models

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