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The performance assessment of safety barriers is essential to find vulnerable elements in a safety barrier system. Traditional performance assessment approaches mainly focus on using several static indicators for quantifying the performance of safety barriers. However, with the increasing complexity of the system, emerging hazards are highly uncertain, making it challenging for the static indicators to assess the performance of safety barriers. This paper proposes a resilience−based performance assessment method for safety barriers to overcome this problem. Safety barriers are classified according to their functions first. The dynamic Bayesian network (DBN) is then introduced to calculate the availability function under normal and disruption conditions. The ratio of the system's availability, when affected by the disruption, to the initial availability, is used to determine the absorption capacity of the system. The ratio of the quantity of availability recovery to the total quantity of system represents the adaptation and restoration capacity of the system. The system's resilience is represented by the sum of absorption, adaptation, and restoration capacities. The wax oil hydrogenation process is used to demonstrate the applicability of the proposed methodology.
Hao Sun; Haiqing Wang; Ming Yang; Genserik Reniers. Resilience-based approach to safety barrier performance assessment in process facilities. Journal of Loss Prevention in the Process Industries 2021, 73, 104599 .
AMA StyleHao Sun, Haiqing Wang, Ming Yang, Genserik Reniers. Resilience-based approach to safety barrier performance assessment in process facilities. Journal of Loss Prevention in the Process Industries. 2021; 73 ():104599.
Chicago/Turabian StyleHao Sun; Haiqing Wang; Ming Yang; Genserik Reniers. 2021. "Resilience-based approach to safety barrier performance assessment in process facilities." Journal of Loss Prevention in the Process Industries 73, no. : 104599.
A disruption to hazardous (flammable, explosive, and toxic) material (HAZMAT) storage plants may trigger escalation effects, resulting in more severe storage performance losses and making the performance restoration more difficult. The disruption, such as an intentional attack, may be difficult to predict and prevent, thus developing a resilient HAZMAT storage plant may be a practical and effective way to deal with these disruptions. This study develops a dynamic stochastic methodology to quantify the resilience of HAZMAT storage plants. In this methodology, resilience evolution scenarios are modeled as a dynamic process that consists of four stages: disruption, escalation, adaption, and restoration stages. The resistant capability in the disruption stage, mitigation capability in the escalation stage, adaption capability in the adaption stage, and restoration capability in the restoration stage are quantified to obtain the HAZMAT storage resilience. The uncertainties in the disruption stage and the mitigation stage are considered, and the dynamic Monte Carlo method is used to simulate possible resilience scenarios and thus quantify the storage resilience. A case study is used to illustrate the developed methodology, and a discussion based on the case study is provided to find out the critical parameters and resilience measures.
Chao Chen; Ming Yang; Genserik Reniers. A dynamic stochastic methodology for quantifying HAZMAT storage resilience. Reliability Engineering & System Safety 2021, 215, 107909 .
AMA StyleChao Chen, Ming Yang, Genserik Reniers. A dynamic stochastic methodology for quantifying HAZMAT storage resilience. Reliability Engineering & System Safety. 2021; 215 ():107909.
Chicago/Turabian StyleChao Chen; Ming Yang; Genserik Reniers. 2021. "A dynamic stochastic methodology for quantifying HAZMAT storage resilience." Reliability Engineering & System Safety 215, no. : 107909.
This paper presents a bibliometric overview of the publications in the principal international journal Process Safety and Environmental Protection (PSEP) from 1990 to 2020 retrieved in the Web of Science (WoS) database to explore the evolution in safety and environmental engineering design and practice, as well as experimental or theoretical innovative research. Therefore, based on the WoS database and the visualization of similarities (VOS) viewer software, the bibliometric analysis and scientometric mapping of the literature have been performed from the perspectives of document types, publication and citation distribution over time, leading authors, countries (regions), institutions, the corresponding collaboration networks, most cited publications and references, focused research fields and topics, research trend evolution over time, etc. The paper provides a comprehensive and quantitative overview and significant picture representation for the journal’s leading and evolutionary trends by employing specific aforementioned bibliometric analysis factors. In addition, by reviewing the evolutionary trends of the journal and the proposed investigated factors, such as the influential works, main research topics, and the research frontiers, this paper reveals the scientific literature production’s main research objectives and directions that could be addressed and explored in future studies.
Jie Xue; Genserik Reniers; Jie Li; Ming Yang; Chaozhong Wu; P.H.A.J.M. van Gelder. A Bibliometric and Visualized Overview for the Evolution of Process Safety and Environmental Protection. International Journal of Environmental Research and Public Health 2021, 18, 5985 .
AMA StyleJie Xue, Genserik Reniers, Jie Li, Ming Yang, Chaozhong Wu, P.H.A.J.M. van Gelder. A Bibliometric and Visualized Overview for the Evolution of Process Safety and Environmental Protection. International Journal of Environmental Research and Public Health. 2021; 18 (11):5985.
Chicago/Turabian StyleJie Xue; Genserik Reniers; Jie Li; Ming Yang; Chaozhong Wu; P.H.A.J.M. van Gelder. 2021. "A Bibliometric and Visualized Overview for the Evolution of Process Safety and Environmental Protection." International Journal of Environmental Research and Public Health 18, no. 11: 5985.
Nima Khakzad; Ming Yang. Special issue: Risk-based approaches to design and operation of process systems. Journal of Loss Prevention in the Process Industries 2021, 72, 104559 .
AMA StyleNima Khakzad, Ming Yang. Special issue: Risk-based approaches to design and operation of process systems. Journal of Loss Prevention in the Process Industries. 2021; 72 ():104559.
Chicago/Turabian StyleNima Khakzad; Ming Yang. 2021. "Special issue: Risk-based approaches to design and operation of process systems." Journal of Loss Prevention in the Process Industries 72, no. : 104559.
Due to the COVID-19 pandemic in 2020, the trade-off between economics and epidemic prevention (safety) has become painfully clear worldwide. This situation thus highlights the significance of balancing the economy with safety and health. Safety economics, considering the interdependencies between safety and micro-economics, is ideal for supporting this kind of decision-making. Although economic approaches such as cost-benefit analysis and cost-effectiveness analysis have been used in safety management, little attention has been paid to the fundamental issues and the primary methodologies in safety economics. Therefore, this paper presents a systematic study on safety economics to analyze the foundational issues and explore the possible approaches. Firstly, safety economics is defined as a transdisciplinary and interdisciplinary field of academic research focusing on the interdependencies and coevolution of micro-economies and safety. Then we explore the role of safety economics in safety management and production investment. Furthermore, to make decisions more profitable, economic approaches are summarized and analyzed for decision-making about prevention investments and/or safety strategies. Finally, we discuss some open issues in safety economics and possible pathways to improve this research field, such as security economics, risk perception, and multi-criteria analysis.
Chao Chen; Genserik Reniers; Nima Khakzad; Ming Yang. Operational safety economics: Foundations, current approaches and paths for future research. Safety Science 2021, 141, 105326 .
AMA StyleChao Chen, Genserik Reniers, Nima Khakzad, Ming Yang. Operational safety economics: Foundations, current approaches and paths for future research. Safety Science. 2021; 141 ():105326.
Chicago/Turabian StyleChao Chen; Genserik Reniers; Nima Khakzad; Ming Yang. 2021. "Operational safety economics: Foundations, current approaches and paths for future research." Safety Science 141, no. : 105326.
The explosion load is a significant escalation factor possibly influencing the potential occurrence of domino accidents in chemical plants. It is not economical to install explosion isolation systems (e.g., extinguishing barrier) for all equipment or process units across a chemical plant. Although shutting down all equipment or process unit can prevent an explosion, it may also cause further economic losses. To prevent domino accidents, the process unit that needs to be shut down accurately should be selected, and the normal operation of other units needs to be ensured. A method to select the process unit to be isolated based on the Dimensioning Accidental Load (DAL) is proposed. By calculating the occurrence probability and consequences of the accident scenarios, the DAL of the surrounding units is determined. DAL is used as the impact intensity of the accident unit on the surrounding units. The probit model is used to calculate the damage probability of surrounding units. The case analysis results show that the method of selecting the process unit to be isolated based on DAL quantifies the impact intensity of the exploded unit on surrounding units from probability and consequence. Under the premise of meeting the acceptable risk criteria, the method can determine which units should be shut down and which units can operate normally when a release accident occurs. While preventing domino accidents, economic losses caused by the shutdown of all process units are reduced and a theoretical basis for accident prevention and safe operation of the plant is provided.
Hao Sun; Haiqing Wang; Ming Yang; Genserik Reniers. Towards limiting potential domino effects from single flammable substance release in chemical complexes by risk-based shut down of critical nearby process units. Process Safety and Environmental Protection 2021, 148, 1292 -1303.
AMA StyleHao Sun, Haiqing Wang, Ming Yang, Genserik Reniers. Towards limiting potential domino effects from single flammable substance release in chemical complexes by risk-based shut down of critical nearby process units. Process Safety and Environmental Protection. 2021; 148 ():1292-1303.
Chicago/Turabian StyleHao Sun; Haiqing Wang; Ming Yang; Genserik Reniers. 2021. "Towards limiting potential domino effects from single flammable substance release in chemical complexes by risk-based shut down of critical nearby process units." Process Safety and Environmental Protection 148, no. : 1292-1303.
The emergent hazards of chemical process systems cannot be wholly identified and are highly uncertain due to the complicated technical-human-organizational interactions. Under uncertain and unpredictable circumstances, resilience becomes an essential property of a chemical process system that helps it better adapt to disruptions and restore from surprising damages. The resilience assessment needs to be enhanced to identify the accident's root causes on the level of technical-human-organizational interactions, and development of the specific resilience attributes to withstand or recover from the disruptions. The outcomes of resilience assessment are valuable to identify potential design or operational improvements to ensure complex process system functionality and safety. The current study integrates the Functional Resonance Analysis Method and dynamic Bayesian Network for quantitative resilience assessment. The method is demonstrated through a two-phase separator of an acid gas sweetening unit. Aspen Hysys simulator is applied to estimate the failure probabilities needed in the resilience assessment model. The study provides a useful tool for rigorous quantitative resilience analysis of complex process systems on the level of technical-human-organizational interactions.
Altyngul Zinetullina; Ming Yang; Nima Khakzad; Boris Golman; Xinhong Li. Quantitative resilience assessment of chemical process systems using functional resonance analysis method and Dynamic Bayesian network. Reliability Engineering & System Safety 2020, 205, 107232 .
AMA StyleAltyngul Zinetullina, Ming Yang, Nima Khakzad, Boris Golman, Xinhong Li. Quantitative resilience assessment of chemical process systems using functional resonance analysis method and Dynamic Bayesian network. Reliability Engineering & System Safety. 2020; 205 ():107232.
Chicago/Turabian StyleAltyngul Zinetullina; Ming Yang; Nima Khakzad; Boris Golman; Xinhong Li. 2020. "Quantitative resilience assessment of chemical process systems using functional resonance analysis method and Dynamic Bayesian network." Reliability Engineering & System Safety 205, no. : 107232.