Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
4.7
3.5
Journals
Processes
Special Issues
Chemical Process Risk Assessment
share announcement

Chemical Process Risk Assessment

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Chemical Processes and Systems".

Deadline for manuscript submissions: closed (25 November 2023) | Viewed by 7031

Special Issue Editor

Dr. Mohammad Yazdi

E-Mail Website
Guest Editor
School of Engineering, Faculty of Science and Engineering, Macquarie University, Sydney, NSW, Australia
Interests: system safety; reliability, availability, maintainability and safety (RAMS); asset integrity and project management; decision making under uncertainty
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are pleased to announce a Special Issue of our journal dedicated to Chemical Process Risk Assessment. Chemical process risk assessment plays a critical role in chemical plants' safe and sustainable operation. This Special Issue brings together the latest research and developments in this critical field. Chemical process risk assessment is a vital component of ensuring chemical plants' safe and sustainable operation. It involves identifying and analyzing the hazards and risks associated with chemical processes and implementing measures to control and mitigate them. As the chemical industry grows and evolves, the need for effective and comprehensive risk assessment methodologies becomes increasingly essential. This Special Issue of our journal is dedicated to bringing together the latest research and developments in chemical process risk assessment to advance our understanding of this critical field. We invite researchers and practitioners to submit their latest findings, insights, case studies, and best practices to contribute to this important discourse. The Special Issue will provide a platform for exchanging knowledge and ideas and will help shape the future of chemical process risk assessment in the years to come. The topic includes, but is not limited to, the following:

  • Hazard identification and analysis in chemical processes.
  • Risk assessment methods and techniques, including HAZOP, FMEA, FTA, and QRA.
  • Human factors in chemical process safety, including operator error and behavior.
  • Emergency response planning and management.
  • Process safety management systems and regulations.
  • Safety culture in chemical plants.
  • Emerging technologies for chemical process risk assessment, such as digital twins, artificial intelligence, and machine learning.
  • Case studies and best practices in chemical process safety.

We invite original research articles, review articles, and case studies that provide novel insights and contributions to chemical process risk assessment. All submissions will be subject to a rigorous peer-review process to ensure high quality and relevance to the Special Issue's theme.

Dr. Mohammad Yazdi
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Processes is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • chemical process
  • risk assessment
  • hazard identification
  • risk analysis
  • risk mitigation
  • methodologies
  • Safety Integrity Level (SIL) determination
  • emergency response planning
  • Quantitative Risk Assessment (QRA)

Published Papers (4 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

15 pages, 696 KiB  
Article
Bayesian Fusion of Degradation and Failure Time Data for Reliability Assessment of Industrial Equipment Considering Individual Differences
by Guo-Zhong Fu, Xian Zhang, Wei Li and Junyu Guo
Processes 2024, 12(2), 268; https://doi.org/10.3390/pr12020268 - 26 Jan 2024
Viewed by 660
Abstract
In the field of industrial equipment reliability assessment, dependency on either degradation or failure time data is common. However, practical applications often reveal that single-type reliability data for certain industrial equipment are insufficient for a comprehensive assessment. This paper introduces a Bayesian-fusion-based methodology [...] Read more.
In the field of industrial equipment reliability assessment, dependency on either degradation or failure time data is common. However, practical applications often reveal that single-type reliability data for certain industrial equipment are insufficient for a comprehensive assessment. This paper introduces a Bayesian-fusion-based methodology to enhance the reliability assessment of industrial equipment. Operating within the hierarchical Bayesian framework, the method innovatively combines the Wiener process with available degradation and failure time data. It further integrates a random effects model to capture individual differences among equipment units. The robustness and applicability of this proposed method are substantiated through an in-depth case study analysis. Full article
(This article belongs to the Special Issue Chemical Process Risk Assessment)
►▼ Show Figures

Figure 1

17 pages, 3171 KiB  
Article
New Developments in Detector and Bund Wall Standards to Mitigate the Risk of Hazardous Liquid Leaks
by Minyoung Choi and Seungbum Jo
Processes 2023, 11(11), 3179; https://doi.org/10.3390/pr11113179 - 07 Nov 2023
Viewed by 1599
Abstract
Ensuring early leak detection and implementing effective secondary containment systems are critical for preventing the dispersion of hazardous liquids and minimizing the casualties of a chemical accident. This study reviews the standards for leak detectors and their placement in various regions, as well [...] Read more.
Ensuring early leak detection and implementing effective secondary containment systems are critical for preventing the dispersion of hazardous liquids and minimizing the casualties of a chemical accident. This study reviews the standards for leak detectors and their placement in various regions, as well as the key parameters involved in bund design such as bund capacity, bund wall height, and separation distance from the bund wall. In this study, Computational Fluid Dynamics (CFD) simulations are conducted considering storage tanks with heights (H) of 1.75 m, 3.5 m, and 7.0 m. The detection times using a level transmitter (LT) and a leak sensor are compared at eight monitoring points. Exclusively employing the leak sensor led to a significant detection time delay of up to 16 times, ranging from 0.5 s to 8.1 s depending on the placement of the leak sensors. However, the average rate of liquid level change was 3.0 mm/s, which demonstrates that the LT consistently detects leaks faster than the leak sensor at all monitoring points. Hence, the integration of an LT alongside a leak detector offers a valuable approach to expedite leak detection, regardless of the direction or location of the leak. Furthermore, the optimized separation distance between the storage tank and the bund wall is suggested. The analytical solution and numerical solution for a separation distance matches up to 95% for H=1.75 m. The separation distance increases as both the tank height and the height of the leak source increase. The relationship between the separation distance and the tank height exhibits a square root dependence on the liquid level from the leak point. The proposed detection method and optimized separation distance hold the potential to facilitate a revision of liquid storage and handling standards grounded in robust scientific and quantitative evidence. Full article
(This article belongs to the Special Issue Chemical Process Risk Assessment)
►▼ Show Figures

Graphical abstract

29 pages, 4116 KiB  
Article
Enabling Safe and Sustainable Hydrogen Mobility: Circular Economy-Driven Management of Hydrogen Vehicle Safety
by Mohammad Yazdi, Rosita Moradi, Reza Ghasemi Pirbalouti, Esmaeil Zarei and He Li
Processes 2023, 11(9), 2730; https://doi.org/10.3390/pr11092730 - 12 Sep 2023
Cited by 10 | Viewed by 1669
Abstract
Hydrogen vehicles, encompassing fuel cell electric vehicles (FCEVs), are pivotal within the UK’s energy landscape as it pursues the goal of net-zero emissions by 2050. By markedly diminishing dependence on fossil fuels, FCEVs, including hydrogen vehicles, wield substantial influence in shaping the circular [...] Read more.
Hydrogen vehicles, encompassing fuel cell electric vehicles (FCEVs), are pivotal within the UK’s energy landscape as it pursues the goal of net-zero emissions by 2050. By markedly diminishing dependence on fossil fuels, FCEVs, including hydrogen vehicles, wield substantial influence in shaping the circular economy (CE). Their impact extends to optimizing resource utilization, enabling zero-emission mobility, facilitating the integration of renewable energy sources, supplying adaptable energy storage solutions, and interconnecting diverse sectors. The widespread adoption of hydrogen vehicles accelerates the UK’s transformative journey towards a sustainable CE. However, to fully harness the benefits of this transition, a robust investigation and implementation of safety measures concerning hydrogen vehicle (HV) use are indispensable. Therefore, this study takes a holistic approach, integrating quantitative risk assessment (QRA) and an adaptive decision-making trial and evaluation laboratory (DEMATEL) framework as pragmatic instruments. These methodologies ensure both the secure deployment and operational excellence of HVs. The findings underscore that the root causes of HV failures encompass extreme environments, material defects, fuel cell damage, delivery system impairment, and storage system deterioration. Furthermore, critical driving factors for effective safety intervention revolve around cultivating a safety culture, robust education/training, and sound maintenance scheduling. Addressing these factors is pivotal for creating an environment conducive to mitigating safety and risk concerns. Given the intricacies of conducting comprehensive hydrogen QRAs due to the absence of specific reliability data, this study dedicates attention to rectifying this gap. A sensitivity analysis encompassing a range of values is meticulously conducted to affirm the strength and reliability of our approach. This robust analysis yields precise, dependable outcomes. Consequently, decision-makers are equipped to discern pivotal underlying factors precipitating potential HV failures. With this discernment, they can tailor safety interventions that lay the groundwork for sustainable, resilient, and secure HV operations. Our study navigates the intersection of HVs, safety, and sustainability, amplifying their importance within the CE paradigm. Using the careful amalgamation of QRA and DEMATEL methodologies, we chart a course towards empowering decision-makers with the insights to steer the hydrogen vehicle domain to safer horizons while ushering in an era of transformative, eco-conscious mobility. Full article
(This article belongs to the Special Issue Chemical Process Risk Assessment)
►▼ Show Figures

Figure 1

13 pages, 2124 KiB  
Article
Evaluating the Efficiency of the Process Safety Management System through Analysis of Major Industrial Accidents in South Korea
by Byung-Tae Yoo and Woo Sub Shim
Processes 2023, 11(7), 2022; https://doi.org/10.3390/pr11072022 - 06 Jul 2023
Cited by 1 | Viewed by 2289
Abstract
The process safety management (PSM) system was introduced in South Korea in 1996, wherein a company voluntarily organizes and manages a chemical accident prevention system, which contributes to reducing chemical accidents. However, large- and small-scale chemical accidents occur frequently. This trend necessitates analysis [...] Read more.
The process safety management (PSM) system was introduced in South Korea in 1996, wherein a company voluntarily organizes and manages a chemical accident prevention system, which contributes to reducing chemical accidents. However, large- and small-scale chemical accidents occur frequently. This trend necessitates analysis and improvement of the PSM systems. This study aimed to analyze the correlation between major industrial accidents, their main causes, the status of accidents by company size and industry, and the PSM evaluation grade through an analysis of 130 accidents that occurred in the past 17 years (2005–2021). The results showed that small- and medium-sized enterprises (SMEs) with fewer than 100 employees accounted for 36% of all accidents, indicating a higher occurrence rate than large companies. Additionally, the proportion of companies with inadequate PSM levels, rated as M-grade (M+, and M−), were 67.0%, suggesting a high probability of major industrial accidents. The results of this study show that a company’s voluntary safety management can be induced by an improved PSM system and management plan, which is expected to prevent major industrial accidents. Full article
(This article belongs to the Special Issue Chemical Process Risk Assessment)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-4
Back to TopTop