Process Safety and Risk Management
A section of Processes (ISSN 2227-9717).
Section Information
Aims and Scope:
In this section, we aim to publish high-quality research on process safety, risk assessment and management, accident prevention, and emergency response in process industries (e.g., chemical, petrochemical, pharmaceutical, and energy). We encourage submissions focusing on the fundamental understanding of safety risks, development of innovative methodologies, application of key technologies, and engineering practices. Particular emphasis is placed on the deep integration of digitalization and intelligent technologies with process safety, promoting the development of next-generation intelligent and highly resilient process industrial systems.
Core Research Themes:
- Risk Quantification and Dynamic Assessment: Hybrid mechanistic/data-driven risk models; dynamic risk assessment and real-time early warnings regarding safety; and reliability analysis and verification of Safety Instrumented Systems (SISs).
- Fundamental Theory and Experimentation: Thermal stability and safety of chemicals/materials; mechanisms and kinetics of combustion, explosion, and runaway reactions; and simulation of relief systems and depressurization processes.
- Intelligent Safety and Digital Twins: Machine learning and computer vision for abnormal condition and hazard identification; digital twins for safety training and accident scenario simulation; and data-driven predictive safety maintenance.
- Resilient System Design and Accident Analysis: Design and optimization of high-resilience plants; model- and case-based root cause analysis; and the role of human factors and organizational management in safety systems.
- Emerging Processes and Green Safety: Safety challenges and assessment of emerging processes (e.g., hydrogen, carbon capture, and biomanufacturing); inherent safety design for green chemistry processes; and safety and risk assessment of novel functional materials.
