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Risk Assessment and Management in the Process Industries

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Management".

Deadline for manuscript submissions: closed (27 September 2023) | Viewed by 5106

Special Issue Editors

Department of Safety Engineering, Beijing University of Chemical Technology, Beijing 100029, China
Interests: risk assessment and deactivation of pyrophoric iron sulfides; prediction of toxic smoke/gas diffusion based on computer vision; emergency path planning for chemicals-related accidents; integration management control of physical safety and cybersecurity
College of Safety Science and Engineering, Nanjing Tech University, Nanjing 211816, China
Interests: chemical process safety; risk assessment; thermal hazard characteristics process intensification

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Guest Editor
College of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, Beijing 100029, China
Interests: dynamic risk assessment of complex chemical processes; intelligent risk prediction and pre-warning of process industries based on machine learning; multi-hazard coupling risk evolution mechanism; integrated assessment of functional safety and information security
China Academy of Safety Science and Technology, Beijing 100012, China.
Interests: safety of hazardous chemicals; pipeline leak detection and location; quantitative risk assessment in industry

Special Issue Information

Dear Colleagues,

The process industry is an industry based on production through physical and/or chemical changes. Typical examples of process industries include the petroleum and chemical industries. The characteristic of the process industry is that production is mostly carried out under the conditions of high temperatures and high pressure, in flammable, explosive, toxic and harmful environments. The existence of safety loopholes in this areas can will easily have catastrophic consequences for personnel, equipment and the environment. To prevent and mitigate losses in the process industries, corresponding risks should be verified comprehensively at first, after which there should be reasonable risk management, i.e., safety or emergency management, meaning risk and its assessment are the optimization objects and the essential procedures of safety and emergency management.

Essentially, physical risk in the process industries under any space–time background originates from the molecular structure features of materials and their states. From the viewpoints of layers of protection and their impact on the industrial processes, the models, methods, and technologies of risk assessment and management can be further classified according to process design, process control, operator intervention, safety instrumented system, active protection, passive protection, plant emergency response, and community emergency response. In other words, risk assessment is critical for the whole life cycle of chemical process. In the design phase, risk assesment is beneficial for inherently safer design of chemical process. It provides a way to compare the safety level of a variety of designs quantitatively or qualitatively. As a result, we can choose inherently safer processes in the early phase. In the production phase, assessment contributes to identifying the critically hazardous parts of the process. Then more attention can be paid on these risk parts in daily management. In addition, risk assessment cannot be overlooked at the disposal stage. For example, the inherent thermal runaway safety index (ITHI) and modified inherent thermal runaway hazard index (m-ITHI) were developed toevaluate the thermal runaway risks of a given chemical process, integrating thermal risk of materials and reaction in the process.

In the past decades, the relevant risk assessment and management models, methods, and technologies have been rapidly developed and extensively applied in the process industries. However, efforts are still needed to explore more and better models, methods, and technologies of risk assessment and management for making safety second nature. For instance,

(1) Pyrophoric iron sulphides (PISs) formed during the extraction, storage and transportation, and refining process of crude oil, natural gas, and other fossil energy media may cause fires and explosions. The risk assessment of spontaneous combustion of PISs is the critical way to better prevent accidents in the industrial field. Unfortunately, up to now, there have been few studies into the severity and possibility of the spontaneous combustion of PISs.

(2) Managing safety means managing risk, and managing risk means paying attention to abnormality. The main problem is one of how to pay attention to abnormality in a timely and effective manner. With an improvement of automation in the process industries, most enterprises have gradually focused on abnormality alarm management based on the DCS, SCADA, and APC. However, there are many problems in the process alarm management, such as improper alarm setting, incorrect alarm response, alarm floods, chattering alarm, and so on. These problems will reduce the safety of production devices, and even lead to malignant accidents. Discussions and studies on the challenges of alarm management (e.g., larm root analysis, alarm threshold setting, alarm priority division, and alarm type identification, etc.) will contribute to achieve effective risk management in the process industries.

(3) With a growing number of new information technologies being applied in the process industries, cybersecurity has quickly become an essential component in maintaining the safe and continued operations of industrial facilities, because cybersecurity attacks on industrial automation and control systems can have physical impacts, which means that the integration of physical safety and cybersecurity should be considered into future risk assessment and management.

(4) Other studies involved in the field of risk assessment and management could focus on the theories about generalization, characterization, and applicability of related models, methods, and technologies through combination with disciplines like system science, complexity science, and network science.

As a result of these considerations, we are launching a new Special Issue of Sustainability entitled Risk Assessment and Management in the Process Industries. Additionally, we hope that the research findings will help us to highlight the latest advances in the field of risk assessment and management in the process industries and outline possible issues that require further exploration to better provide a solid scientific basis and technological support for global and regional sustainable safety.

The research topics include, but are not limited to:

  • Literature review related to risk assessment and management;
  • Case study/application of risk assessment and management tools in process industries;
  • Models, methods, and technologies of risk assessment and management;
  • Substance hazards analysis;
  • Process hazards evaluation;
  • Inherent safety in the process industries;
  • Process fault detection, diagnosis, and pre-warning;
  • Alarm analysis, prediction, and management in the process industries.

Dr. Zhan Dou
Dr. Lei Ni
Dr. Qianlin Wang
Dr. Xu Diao
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. Sustainability is an international peer-reviewed open access semimonthly 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 industries
  • risk assessment and management
  • inherent safety
  • process safety

Published Papers (3 papers)

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Research

15 pages, 3693 KiB  
Article
Research on QoS Flow Path Intelligent Allocation of Multi-Services in 5G and Industrial SDN Heterogeneous Network for Smart Factory
by Qing Guo, Qibing Jin, Zhen Liu, Mingshi Luo, Liangchao Chen, Zhan Dou and Xu Diao
Sustainability 2023, 15(15), 11847; https://doi.org/10.3390/su151511847 - 01 Aug 2023
Cited by 1 | Viewed by 867
Abstract
In this paper, an intelligent multiple Quality of Service (QoS) constrained traffic path allocation scheme with corresponding algorithm is proposed. The proposed method modifies deep Q-learning network (DQN) by graph neural network (GNN) and prioritized experience replay to fit the heterogeneous network, which [...] Read more.
In this paper, an intelligent multiple Quality of Service (QoS) constrained traffic path allocation scheme with corresponding algorithm is proposed. The proposed method modifies deep Q-learning network (DQN) by graph neural network (GNN) and prioritized experience replay to fit the heterogeneous network, which is applied for production management and edge intelligent applications of smart factory. Moreover, through designing the reward function, the learning efficiency of the agent is improved under the sparse reward condition, and the multi-object optimization is realized. The simulation results show that the proposed method has high learning efficiency, and strong generalization ability adapting the changing of topological structure of network caused by network error, which is more suitable than the compared methods. In addition, it is also verified that combining the field knowledge and deep reinforcement learning (DRL) can improve the performance of the agent. The proposed method can achieve good performance in the network slicing scenario as well. Full article
(This article belongs to the Special Issue Risk Assessment and Management in the Process Industries)
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17 pages, 3371 KiB  
Article
Risk Assessment Method for Spontaneous Combustion of Pyrophoric Iron Sulfides
by Zhan Dou, Li-Li Li and Liang-Chao Chen
Sustainability 2023, 15(15), 11605; https://doi.org/10.3390/su151511605 - 27 Jul 2023
Viewed by 1053
Abstract
Pyrophoric iron sulfides (PISs) can spontaneously oxidize and release heat when they come into contact with air, resulting in fire and explosion accidents. In order to reduce the risk of spontaneous combustion, risk assessment methods need to be developed. In this paper, the [...] Read more.
Pyrophoric iron sulfides (PISs) can spontaneously oxidize and release heat when they come into contact with air, resulting in fire and explosion accidents. In order to reduce the risk of spontaneous combustion, risk assessment methods need to be developed. In this paper, the preparation experiment and oxidation experiment of PISs are carried out to obtain the data of solid phase temperature and time, and the temperature–time curve is drawn. Based on the risk assessment method of thermal runaway and the oxidation experiment law of PISs, the risk assessment index system of spontaneous combustion is established, and the possibility and consequence severity of spontaneous combustion are classified. On this basis, the risk assessment matrix is used to determine the risk level of spontaneous combustion, and the risk assessment method of spontaneous combustion of PISs is established. Finally, nine groups of different oxidation processes of PISs are used to verify that the method is reasonable and effective. Full article
(This article belongs to the Special Issue Risk Assessment and Management in the Process Industries)
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15 pages, 27220 KiB  
Article
The Effects of Acid and Hydrogen Peroxide Stabilizer on the Thermal Hazard of Adipic Acid Green Synthesis
by Yinshan Liu, Lei Ni, Hang Yao, Jimi Su and Zhen Cheng
Sustainability 2023, 15(8), 6530; https://doi.org/10.3390/su15086530 - 12 Apr 2023
Cited by 2 | Viewed by 1980
Abstract
The synthesis of adipic acid, which is formed by the reaction of cyclohexene oxidized by hydrogen peroxide (H2O2), is hazardous because of the highly exothermic nature of this reaction and H2O2 decomposition. The objective of this [...] Read more.
The synthesis of adipic acid, which is formed by the reaction of cyclohexene oxidized by hydrogen peroxide (H2O2), is hazardous because of the highly exothermic nature of this reaction and H2O2 decomposition. The objective of this comprehensive study was to investigate and illustrate the effects of sulfuric acid (H2SO4) and H2O2 stabilizer (EDTA) on the thermal hazard of H2O2 decomposition and the green synthesis of adipic acid, which also provided a reference to reduce the risk of the reactions. Various calorimetry techniques were carried out to characterize the exothermic behavior of the reactions. An HPLC device was used to characterize the yield of adipic acid and the conversion rate of the raw materials, cyclohexene and H2O2. Meanwhile, density functional theory calculations were performed to understand the reaction mechanism and the associated energies of H2O2 decomposition catalyzed by sodium tungstate dihydrate (Na2WO4·2H2O). Finally, combined with the calorimetry results, the risk of the adipic acid synthesis reaction was assessed using the intrinsic control index method (ITHI). The results show that the addition of H2SO4 and EDTA can reduce the exothermic heat of the H2O2 decomposition reaction and the green synthesis reaction of adipic acid. The yield of adipic acid was also increased. The hazard level of stage A was IV, and to remove more reaction heat, it was recommended to enhance the reflux cooling of stage A. The hazard level of stage B was I, which was very low and no further measures could be taken. Full article
(This article belongs to the Special Issue Risk Assessment and Management in the Process Industries)
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