Process Safety and Condition Monitoring for Energy and Gas Infrastructure
A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Process Safety and Risk Management".
Deadline for manuscript submissions: 30 September 2026 | Viewed by 109
Special Issue Editors
Interests: oil and gas pipeline failure; safety of chemical plant equipment and processes; intelligent monitoring and inspection technology
Interests: energy monitoring; hydrogen energy safety; gas-liquid two-phase flow
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The energy and gas infrastructure serves as the backbone of global energy supply chains, underpinning economic development, industrial production, residential comfort, and critical social services. Its seamless operation is inherently intertwined with public safety, environmental protection, resource efficiency, and energy security, including industrial accidents, environmental pollution, supply shortages, and significant economic losses. As energy and gas systems become increasingly complex, integrated, and exposed to evolving operational challenges, the need for robust process safety frameworks and advanced condition monitoring technologies has never been more pressing. Process systems engineers, safety specialists, and infrastructure operators are at the forefront of addressing these challenges, leveraging innovative approaches to mitigate risks, enhance reliability, and ensure the sustainable operation of energy and gas infrastructure.
Advances in process safety and condition monitoring for energy and gas infrastructure span a wide range of scales and technologies. From large-scale cross-border pipelines, liquefied natural gas (LNG), carbon dioxide (CO2) terminals , and gas processing plants to distributed energy systems, storage facilities, and municipal gas networks, each segment demands tailored safety strategies and monitoring solutions. The technologies involved are equally diverse, encompassing traditional methods such as pressure, temperature, and flow sensing, as well as cutting-edge innovations including predictive analytics, machine learning-driven anomaly detection, real-time data acquisition systems, remote monitoring tools, non-destructive testing techniques, and digital twins. These technologies work in tandem to enable proactive risk identification, real-time operational oversight, and data-driven decision-making, transforming safety management from a reactive to a preventive paradigm.
Process safety and condition monitoring are not only about risk mitigation but also about optimizing operational efficiency. By continuously monitoring the condition of key components (such as pipelines, valves, compressors, and storage tanks), operators can predict potential failures, schedule maintenance activities strategically, minimize unplanned downtime, and reduce operational costs. Moreover, integrating process safety data with environmental, economic, and operational metrics facilitates comprehensive techno-economic analyses and life cycle assessments, supporting the development of more sustainable and resilient energy and gas infrastructure.
This Special Issue on “Process Safety and Condition Monitoring for Energy and Gas Infrastructure” aims to curate cutting-edge research, practical case studies, and innovative technologies that advance the field of process safety and condition monitoring in energy and gas systems. We welcome contributions that address the theoretical, methodological, and practical aspects of process safety management, condition monitoring, risk assessment, and reliability optimization for energy and gas infrastructure. To maximize the impact and reproducibility of the published work, authors are invited to deposit relevant datasets, monitoring protocols, simulation models, or code in open-access repositories or provide them as supplementary material. These may include sensor data sets, risk assessment frameworks, machine learning models for anomaly detection, simulation files for process safety analysis, or case study documentation of real-world applications.
Topics include, but are not limited to:
- Advanced condition monitoring technologies (sensors, remote sensing, non-destructive testing) for energy and gas infrastructure components.
- Process safety risk assessment, mitigation strategies, and accident prevention in gas processing, transmission, and storage systems.
- Machine learning, artificial intelligence, and data analytics for predictive maintenance and anomaly detection in energy and gas infrastructure.
- Digital twins and simulation-based approaches for process safety optimization and condition monitoring.
- Safety and monitoring challenges in the integration of renewable energy with traditional gas infrastructure.
- Regulatory frameworks, standards, and best practices for process safety and condition monitoring in the energy and gas sector.
- Case studies on process safety incidents, post-incident analysis, and improvement measures for energy and gas facilities.
- Resilience assessment and enhancement of energy and gas infrastructure through advanced safety and monitoring systems.
We look forward to receiving your contributions and fostering a comprehensive dialogue on advancing process safety and condition monitoring for the future of energy and gas infrastructure.
Dr. Lei Chen
Dr. Jianyang Yu
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 250 words) can be sent to the Editorial Office for assessment.
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 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 safety
- condition monitoring
- energy infrastructure
- gas infrastructure
- anomaly detection
- predictive maintenance
- digital twins
- risk mitigation
- data analytics
- infrastructure resilience
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