Risk Monitoring and Control Theory for Chemical Processes and Energy Systems
A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Process Control and Monitoring".
Deadline for manuscript submissions: 15 December 2025 | Viewed by 22
Special Issue Editors
Interests: runaway reaction; process safety and management; green chemistry; energetic materials; material chemistry; chemical kinetics; prevention on fire and explosion
Interests: chemical process safety; vent sizing design; calorimetry methodology
Interests: thermal safety; thermal runaway assessment; gas/dust explosion prevention and control; quantitative risk assessment technology; hydrogen energy safety; synthesis and application of solid hydrogen storage materials
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
As the chemical industry expands in scale and its production processes become increasingly complex, traditional experience-based safety management is no longer sufficient to meet modern risk control demands. Effective prevention of industrial disasters requires data-driven decision-making, leveraging advanced sensing technology, artificial intelligence (AI), and dynamic risk assessment models to enable real-time safety monitoring and intelligent regulation.
Modern monitoring frameworks go beyond static standards, focusing on predicting and responding to evolving dynamic risks. Machine learning and high-frequency data analysis allow companies to identify abnormal patterns and establish adaptive risk management mechanisms, shifting from passive defense to proactive prevention. However, traditional safety techniques still rely heavily on experience, and implementation varies across enterprises, with poor management increasing the likelihood of disasters.
This Special Issue explores how data-driven innovative strategies can enhance process safety and align with the industry's digital transformation demands. As new technologies emerge, existing methods must be updated and made more scientific to achieve finer risk control and improve industrial resilience. The papers included in this Special Issue will serve as a critical scientific foundation for transforming the field of process safety and disaster prevention.
Prof. Dr. Chi-Min Shu
Prof. Dr. Yih-Wen Wang
Prof. Dr. Yun-Ting Tsai
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
- industry
- safety
- management
- prevention
- disasters
- technology
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