Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
5.1
2.8
Journals
Processes
Special Issues
Fire and Explosion in Process Safety Prevention and Protection
share announcement

Fire and Explosion in Process Safety Prevention and Protection

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Process Control and Monitoring".

Deadline for manuscript submissions: closed (15 March 2025) | Viewed by 1966

Special Issue Editors

Prof. Dr. Hans Pasman

E-Mail Website
Guest Editor
Chemical Engineering Department, Texas A&M University, College Station, TX, USA
Interests: chemical risk management; process safety; hazard identification; big data
Special Issues, Collections and Topics in MDPI journals
Dr. Qingsheng Wang

E-Mail Website
Guest Editor
Department fo Chemical Engineering, Texas A&M University, College Station, TX 77843-3122, USA
Interests: process safety; machine learning; flammability; composites
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Fires and explosions pose substantial risks to personnel, infrastructure, and the environment within the process industries. A comprehensive understanding of the underlying physical and chemical phenomena is crucial for developing effective prevention, mitigation, and response strategies. This Special Issue invites research that advances the state of the art in fire and explosion science and preventive/protective/mitigative engineering. Contributions addressing combustion, heat transfer, fluid dynamics, and process design are sought to enhance safety within process environments. Special emphasis will be on the effectiveness probability of measures given load intensity. Topics of interest include, but are not limited to, the following:

  • Combustion and explosion phenomena: flame propagation, detonation, and deflagration-to-detonation transition.
  • Process safety analysis: hazard identification, consequence modeling, and risk assessment.
  • Fire and explosion prevention: design for safety, inherent safety, and process intensification.
  • Detection and suppression: fire detection systems, suppression technologies, and human factors in fire safety.
  • Case studies: real-world examples of fire and explosion incidents and lessons learned.

We welcome original research articles, review papers, and case studies that contribute to the advancement of fire and explosion safety in process industries.

You may choose our Joint Special Issue in Fire.

Prof. Dr. Hans Pasman
Dr. Qingsheng Wang
Guest Editors

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

  • process safety
  • accidental chemical releases
  • fires
  • explosions
  • risk identification and management
  • mechanical integrity
  • emergency management
  • flame propagation
  • deflagration-to-detonation transition

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (2 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, 6119 KiB  
Article
Gas Pipeline Leakage Risk Analysis Based on Dynamic Bayesian Network
by Zhenping Wang, Xiaoyun Gui, Weifeng Wang, Xuanchong Zhao and Xiaohan Ji
Processes 2025, 13(4), 927; https://doi.org/10.3390/pr13040927 - 21 Mar 2025
Viewed by 459
Abstract
To solve the problems of numerous influencing factors, such as the high uncertainty and leakage risk of gas production pipelines in high-sulfur gas fields, a dynamic analysis of a gas production pipeline’s leakage risk using a dynamic Bayesian network is proposed. By means [...] Read more.
To solve the problems of numerous influencing factors, such as the high uncertainty and leakage risk of gas production pipelines in high-sulfur gas fields, a dynamic analysis of a gas production pipeline’s leakage risk using a dynamic Bayesian network is proposed. By means of Bow-tie model analysis, the primary risk sources of gas pipeline leakage and different accidents are summarized. A temporal dimension was introduced to construct a dynamic Bayesian network model, utilizing the Leaky noisy-OR gate model to rectify and compute conditional probability, thereby facilitating dynamic risk prediction of gas pipeline leakage. Taking the first section of the pipeline of a municipal gas collection station as an example, with the help of GeNIe 4.0 Academic software, the influence degree of each basic event on pipeline gas leakage was revealed. The change curve of gas leakage probability over time was drawn, and the occurrence probability of potential consequences of accidents was computed. The results indicate that the status of flanges, valves, and pipelines are key factors in determining the occurrence of gas leakage accidents, and six risk sources, including medium corrosion in gas leakage accidents, were determined, with these having practical conspicuousness for strengthening the leakage protection of gas pipelines and providing proper support for the formulation of relevant safety measures. Full article
(This article belongs to the Special Issue Fire and Explosion in Process Safety Prevention and Protection)
►▼ Show Figures

Figure 1

13 pages, 1979 KiB  
Article
Efficiency Analysis of the Integrated Application of Hazard Operability (HAZOP) and Job Safety Analysis (JSA) Compared to HAZOP Alone for Preventing Fire and Explosions in Chemical Plants
by Seungho Jung, Hangi Kim and Chankyu Kang
Processes 2025, 13(1), 88; https://doi.org/10.3390/pr13010088 - 2 Jan 2025
Viewed by 1160
Abstract
Hazard and Operability (HAZOP) is the most widely used safety evaluation method because it systematically reviews the causes and results of all abnormal deviations in chemical plant facilities. However, fires and explosions caused by human error occur frequently. This study combined HAZOP and [...] Read more.
Hazard and Operability (HAZOP) is the most widely used safety evaluation method because it systematically reviews the causes and results of all abnormal deviations in chemical plant facilities. However, fires and explosions caused by human error occur frequently. This study combined HAZOP and JSA, a chemical plant risk assessment technique, to determine the effectiveness of preventing significant industrial accidents whereby fires and explosions injure workers. The effectiveness of the 96-step distillation container cleaning process was assessed by identifying risk factors, using three different methods: HAZOP, JSA and HAZOP, and HAZOP and JSA. After completing HAZOP, JSA was used to determine the most severe risk factors. Thirty-seven additional recommendations were discovered using the JSA for the storage container cleaning operation, which was not included in the risk factors identified through the HAZOP work process. For additional risks, factors directly related to fires and explosions were identified. It was concluded that HAZOP and JSA must be combined in high-risk processes to minimize the risk of fires and explosions. Full article
(This article belongs to the Special Issue Fire and Explosion in Process Safety Prevention and Protection)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-2
Back to TopTop