Assessment of tanks vulnerability and domino effect analysis in chemical storage plants

Jiang, Dai; Pan, Xuhai; Hua, Min; Mébarki, Ahmed; Jiang, Juncheng

doi:10.1016/j.jlp.2019.04.016

Cited by 38 publications

(5 citation statements)

References 24 publications

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“…In Spain, the analysis of installation and operation types contribute approximately 35% and 28% for storage and process plants respectively and in developing countries, it contributes to 28% (Wu et al , 2015). In China, the type of materials involved, the contribution of production and fixed plants and the most common maintenance action sequences range from 19 to 28.4%, while repair activities reach a level of 29% of all annual CP operations (Darbra et al , 2010; Jiang et al , 2019). This is the requirement to execute effective operation of process plants in a good technique to ensure that it performs to an optimised level.…”

Section: Imperfect Maintenance Actions In Chemical Plant Projectsmentioning

confidence: 99%

Implementation of automation system-based model checking for managing imperfect maintenance actions in chemical plant projects

Ismail

2022

IMDS

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PurposeThe chemical plant (CP) maintenance industry has been under increasing pressure by process designers to demonstrate its evaluation and information management of model checking (MC) on the durability’s performance and design of plant control instrument. This main problem has been termed as imperfect maintenance actions (IMAs) level. Although IMAs have been explored in interdisciplinary maintenance environments, less is known about what imperfect maintenance problems currently exist and what their causes are, such as the recent explosion in the Beirut city (4 August 2020, about 181 fatalities). The aim of this paper is to identify how CP maintenance environments could integrate MC within their processes.Design/methodology/approachTo achieve this aim, a comprehensive literature review of the existing conceptualisation of MC practices is reviewed and the main features of information and communication technology tools and techniques currently being employed on such IMA projects are carried out and synthesised into a conceptual framework for integrating MC in the automation system process.FindingsThe literature reveals that various CP designers conceptualise MC in different ways. MC is commonly shaped by long-term compliance to fulfil the requirement for maintaining a comfortable durability risk on imperfect maintenance schemes of CP projects. Also, there is a lack of common approaches for integrating the delivery process of MC. The conceptual framework demonstrates the importance of early integration of MC in the design phase to identify alternative methods to cogenerate, monitor and optimise MC.Originality/valueThus far, this study advances the knowledge about how CP maintenance environments can ensure MC delivery. This paper highlights the need for further research to integrate MC in CP maintenance environments. A future study could validate the framework across the design phase with different CP project designers.

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Section: Imperfect Maintenance Actions In Chemical Plant Projectsmentioning

confidence: 99%

Implementation of automation system-based model checking for managing imperfect maintenance actions in chemical plant projects

Ismail

2022

IMDS

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“…However, a single parameter cannot show the damage behavior due to complex disturbances. In this sense, later studies have been carried out for multi-factor coupling effects on equipment vulnerability, and also corresponding evaluation tools have been developed [81,82]. In recent years, dynamic assessment methods were developed to explore the temporal change of an installation's vulnerability, especially for the case of domino-related studies [80].…”

Section: Vulnerability Assessmentmentioning

confidence: 99%

A Systematic Literature Review on Safety Research Related to Chemical Industrial Parks

et al. 2020

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The increasing demand for chemical products has driven the construction and development of chemical industrial areas, or so-called ‘chemical industrial parks’ (CIPs), but this has intrinsically raised the risk of major accidents. Therefore, it is significant and urgent to summarize the state of art and research needs in the field of CIP safety. In this paper, a keyword co-occurrence analysis of 116 scientific articles was conducted to support the classification of research topics in this field, then an overview of those research topics was presented to investigate the evolution of safety research with respect to CIPs. Specifically, the way that safety assessments are conducted, as well as how safety management and safety technology in such areas are classified and investigated, followed by detailed descriptions of representative methods and their contributions to CIP safety, are discussed. An integrated safety framework for CIPs is proposed to organize safety approaches and measures systematically. Based on the classification and analysis of studies on management, assessment, and technology related to CIP safety, the research trends and future directions and challenges are discussed and outlined. Those results are useful for improving theoretical method and industrial strategies, and can advance the safety and sustainability development of CIPs.

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“…The focus is on comparing different emergency strategies to avoid the domino effects, and not on evaluating the consequences. The recent work in [15] gives a definition of vulnerability index of tanks in the context of a domino effect scenario and proposes a methodology to evaluate it, by combining different techniques. However, they do not consider maintenance effects.…”

Section: Related Workmentioning

confidence: 99%

Stochastic modeling and analysis of vapor cloud explosions domino effects in chemical plants

Sierra¹,

Montecchi

Mura

2019

J Braz Comput Soc

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Because of the substances they process and the conditions of operation, chemical plants are systems prone to the occurrence of undesirable and potentially dangerous events. Major accidents may occur when a triggering event produces a cascading accident that propagates to other units, a scenario known as domino effect. Assessing the probability of experiencing a domino effect and estimating the magnitude of its consequences is a complex task, as it depends on the nature of the substances being processed, the operating conditions, the failure proneness of equipment units, the execution of preventive maintenance activities, and of course the plant layout. In this work, we propose a stochastic modeling methodology to perform a probabilistic analysis of the likelihood of domino effects caused by propagating vapor cloud explosions. Our methodology combines mathematical models of the physical characteristics of the explosion, with stochastic state-based models representing the actual propagation among equipment units and the effect of maintenance activities. Altogether, the models allow predicting the likelihood of major events occurrence and the associated costs. A case study is analyzed, where various layouts of atmospheric gasoline tanks are assessed in terms of the predicted consequences of domino effects occurrence. The results of the analyses show that our approach can provide precious insights to support decision-making for safety and cost management.

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Assessment of tanks vulnerability and domino effect analysis in chemical storage plants

Cited by 38 publications

References 24 publications

Implementation of automation system-based model checking for managing imperfect maintenance actions in chemical plant projects

Implementation of automation system-based model checking for managing imperfect maintenance actions in chemical plant projects

A Systematic Literature Review on Safety Research Related to Chemical Industrial Parks

Stochastic modeling and analysis of vapor cloud explosions domino effects in chemical plants

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