scholarly journals How to Determine the Dangerous Potential of Accidents to Domino Effect Detonation in a Hydrocarbon Processing Area?

2021 ◽  
Vol 1 (2) ◽  
Author(s):  
Julio Ariel Dueñas Santana ◽  
Yanelys Cuba Arana ◽  
Mary Carla Barrera González ◽  
Jesús Luis Orozco
Keyword(s):  
Domino Effect ◽  
Effect Analysis ◽  
Industrial Facilities ◽  
Cascade Effect ◽  
Vapor Cloud ◽  
Fire And Explosion ◽  
Hydrocarbon Storage ◽  
Explosion Accidents ◽  
New Procedures

The crude oil industry has been developed in recent decades due to the uses of this product, as well as its derivatives. One of the worst consequences phenomena that can occur in the process industry is the called domino effect. The domino effect or cascade effect occurs when an initiating event, such as a pool of fire or a vapor cloud explosion, causes a new number of accidents. Moreover, due to the importance of avoiding this phenomenon, the European Commission considers the domino effect analysis as mandatory for industrial facilities. There are methodologies in the specialized literature focused on quantifying the existing risks in the storage and processing of hydrocarbons. However, there is a tendency to develop new procedures that increase the risk perception of these accidents. In addition, it is necessary to develop a method that allows visualizing clearly and concisely the dangerous potential of fire and explosion accidents for the occurrence of the domino effect. Precisely, this research aims to predict the dangerous potential of fire and explosion accidents for the occurrence of the domino effect. For this purpose, a methodology consisting of three fundamental stages is developed. Finally, hydrocarbon storage and processing area is selected to apply the proposed methodology. Overall, the development of graphs that summarize information and show the dangerous potential regarding the escalation of fire and explosion accidents is vital in risk analysis. For the case study, the effectiveness of the same was demonstrated, since after its realization it was possible to increase the risk awareness of workers, technicians, and managers of the area taken as a case study.

Risk-Based Domino Effect Analysis for Fire and Explosion Accidents Considering Uncertainty in Processing Facilities

2018 ◽  
Vol 57 (11) ◽  
pp. 3990-4006 ◽  
Author(s):  
Jie Ji ◽  
Qi Tong ◽  
Faisal Khan ◽  
Mohammad Dadashzadeh ◽  
Rouzbeh Abbassi
Keyword(s):  
Domino Effect ◽  
Effect Analysis ◽  
Fire And Explosion ◽  
Explosion Accidents

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

2019 ◽  
Vol 25 (1) ◽  
Author(s):  
Diego Sierra ◽  
Leonardo Montecchi ◽  
Ivan Mura
Keyword(s):  
Stochastic Modeling ◽  
Operating Conditions ◽  
Chemical Plants ◽  
Domino Effect ◽  
Modeling And Analysis ◽  
Modeling Methodology ◽  
Vapor Cloud ◽  
Maintenance Activities ◽  
Support Decision Making

Abstract 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.

Method for Hazard Analysis of Chemical Process Equipment Taking Domino Effect into Account

2013 ◽  
Vol 321-324 ◽  
pp. 2456-2459
Author(s):  
Ming Liang Chen ◽  
Zhi Qiang Geng ◽  
Qun Xiong Zhu
Keyword(s):  
Chemical Process ◽  
Hazard Analysis ◽  
Process Industry ◽  
Process Equipment ◽  
Process Conditions ◽  
Domino Effect ◽  
Effect Analysis ◽  
Chemical Process Industry ◽  
Chemical Process Equipment

The hazard of chemical process equipment consists of two parts: the inherent hazard of process equipment and the hazard from domino effect among equipments. The inherent hazard of equipment depends on the properties of the substance present in the equipment and the specific process conditions. The domino effect is responsibility for many most destructive accidents in the chemical process industry. However, domino effect is either not considered at all or is done with much less rigour than is warranted. A method was proposed to evaluate the hazard of chemical process equipment. The inherent hazard and the hazard from domino effect were considered in the method. The procedure for the domino effect analysis among equipments was presented to evaluate the hazard from the domino effect. The method was implemented in a case study. The results show that it can be used to select the process equipment which should be intensive monitored.

A Model for the Domino Effect Analysis in Quantitative Risk Assessment

2013 ◽  
Vol 328 ◽  
pp. 314-317
Author(s):  
Ming Liang Chen ◽  
Zhi Qiang Geng ◽  
Qun Xiong Zhu
Keyword(s):  
Risk Assessment ◽  
Quantitative Methods ◽  
Process Industry ◽  
Quantitative Risk Assessment ◽  
Domino Effect ◽  
Effect Analysis ◽  
Chemical Process Industry ◽  
Industrial Sites ◽  
Event Trees

The domino effect is responsibility for many most destructive accidents in the chemical process industry. The catastrophic consequences are not only affecting the industrial sites, but also people and environment. However, quantitative methods which take in to account the domino effect are still missing. A model for quantitative assessment of the domino effect is presented. The probabilities of occurrence are obtained by the event trees. The frequencies of different accidents can be obtained by applying the proposed method. The results of the case study show that the domino effect should be taken into account in quantitative risk assessment (QRA).

scholarly journals Research on Safety Spacing of Chemical Storage Tanks Based on Accident Consequence and Risk Analysis

2020 ◽  
Vol 198 ◽  
pp. 01021
Author(s):  
Zhenping Li ◽  
Sanming Wang ◽  
Dongliang Sun
Keyword(s):  
Industrial Safety ◽  
Utilization Rate ◽  
Storage Tanks ◽  
Industrial Land ◽  
Placement Method ◽  
Vapor Cloud ◽  
Vapor Explosions ◽  
Fire And Explosion ◽  
Explosion Accidents ◽  
Accident Consequence

The placement of chemical storage tanks is an important topic in industrial safety, and its placement method is based on the study of the safety spacing of storage tanks. This paper takes LPG and LNG storage tanks as examples. It uses vapor cloud explosions, pool fires, pressure vessel explosions, boiling liquid expansion vapor explosions and other fire and explosion accident consequences models and risk probability analysis methods to analyze. It is proved that the transfer of storage tanks from ground to underground can significantly reduce the scope of impact of explosion accidents, thereby increasing the utilization rate of industrial land.

Quantitative Evaluation of Risks from Crude-by-Rail Spills: A Case Study using the Proposed Shell Puget Sound Refinery Anacortes Rail Unloading Facility

2017 ◽  
Vol 2017 (1) ◽  
pp. 2057-2077
Author(s):  
Matthew Horn ◽  
Dagmar Schmidt Etkin ◽  
Andrew Wolford
Keyword(s):  
Puget Sound ◽  
Second Phase ◽  
Probability Assessment ◽  
Acute Effects ◽  
The Third ◽  
Third Phase ◽  
Vapor Cloud ◽  
Accident Data ◽  
Fire And Explosion

ABSTRACT Abstract ID: 2017-143 – Industry considerations, regulatory recommendations, and public concerns have necessitated a quantitative approach to addressing the risks associated with crude-by-rail shipments. Risk is defined as the product of the probability of an event occurring and the potential consequences that may result. To adequately address both the probability and consequence sides of risk, a three-phased approach was developed for use. First, a probability assessment used historical freight rail accident data to calculate the probability of an accident occurring with adjustments specific to crude-by-rail transport, the likelihood that an accident involving a crude-by-rail unit train would result in the release of oil, and the potential size of that release. These results were then used as inputs to a consequence assessment. This necessitated an assumption that a spill had taken place and there either was or was not an ignition source nearby. In the second phase, two computational oil spill models (OILMAP Land and SIMAP) were used to determine the trajectory, fate, and effects of released oil onto land and into water. This analysis included determining where oil may be transported within the environment, how long it would take to get there, how it would weather and behave, what resources of interest may potentially be affected, and what the potential acute effects may be to specific biological receptors. The third phase included a fire and explosion analysis, which was used to determine the thermal radiation from pool fires and the overpressure from a vapor cloud explosion and boiling liquid expanding vapor explosion (BLEVE). This assessment was used to quantitatively discuss both the probability and consequence sides of the risk associated with the proposed Shell Puget Sound Refinery Anacortes Rail Unloading Facility and was included in the Environmental Impact Statement (EIS) addressing Environmental Health and Risk.

Failure mode and effect analysis (FMEA) to improve collaborative project-based learning: Case study of a Study and Research Path in mechanical engineering

2021 ◽  
pp. 030641902199904
Author(s):  
Elena Bartolomé ◽  
Paula Benítez
Keyword(s):  
Active Learning ◽  
Failure Mode ◽  
Mechanical Engineering ◽  
Failure Modes ◽  
Collaborative Study ◽  
Project Based Learning ◽  
Educational Process ◽  
Effect Analysis ◽  
Questions And Answers

Failure Mode and Effect Analysis (FMEA) is a powerful quality tool, widely used in industry, for the identification of failure modes, their effects and causes. In this work, we investigated the utility of FMEA in the education field to improve active learning processes. In our case study, the FMEA principles were adapted to assess the risk of failures in a Mechanical Engineering course on “Theory of Machines and Mechanisms” conducted through a project-based, collaborative “Study and Research Path (SRP)” methodology. The SRP is an active learning instruction format which is initiated by a generating question that leads to a sequence of derived questions and answers, and combines moments of study and inquiry. By applying the FMEA, the teaching team was able to identify the most critical failures of the process, and implement corrective actions to improve the SRP in the subsequent year. Thus, our work shows that FMEA represents a simple tool of risk assesment which can serve to identify criticality in educational process, and improve the quality of active learning.

Application of failure mode and effects analysis to reduce microplastic emissions

2021 ◽  
pp. 0734242X2110031
Author(s):  
Ana Pires ◽  
Paula Sobral
Keyword(s):  
Failure Mode ◽  
Quantitative Methods ◽  
Policy Instruments ◽  
Effect Analysis ◽  
Advantages And Disadvantages ◽  
Heuristic Technique ◽  
Single Use ◽  
Regulatory Measures ◽  
Plastic Products

A complete understanding of the occurrence of microplastics and the methods to eliminate their sources is an urgent necessity to minimize the pollution caused by microplastics. The use of plastics in any form releases microplastics to the environment. Existing policy instruments are insufficient to address microplastics pollution and regulatory measures have focussed only on the microbeads and single-use plastics. Fees on the use of plastic products may possibly reduce their usage, but effective management of plastic products at their end-of-life is lacking. Therefore, in this study, the microplastic–failure mode and effect analysis (MP–FMEA) methodology, which is a semi-qualitative approach capable of identifying the causes and proposing solutions for the issue of microplastics pollution, has been proposed. The innovative feature of MP–FMEA is that it has a pre-defined failure mode, that is, the release of microplastics to air, water and soil (depending on the process) or the occurrence of microplastics in the final product. Moreover, a theoretical recycling plant case study was used to demonstrate the advantages and disadvantages of this method. The results revealed that MP–FMEA is an easy and heuristic technique to understand the failure-effect-causes and solutions for reduction of microplastics and can be applied by researchers working in different domains apart from those relating to microplastics. Future studies can include the evaluation of the use of MP–FMEA methodology along with quantitative methods for effective reduction in the release of microplastics.

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