Elsevier Methods and Tools for Resilience and Dynamic Risk Assessment of Chemical Processes

Methods and Tools for Resilience and Dynamic Risk Assessment of Chemical Processes introduces systematic approaches in risk assessment in chemical process safety along with relevant tools, models, and the latest methodologies for assessing safety and resilience in chemical processes, systems engineering, risk and resilience engineering, and simulation and modeling. Chapters outline the theoretical framework of chemical process safety, emphasizing the integration of safety into chemical engineering through key ideas like inherent safety and corporate culture and highlight the significance of Process Hazard Identification (PHI) methods, including traditional techniques and advancements such as AI, for effectively identifying and mitigating hazards. Further chapters investigate advanced hazard assessment methodologies like Systems Theoretic Process Analysis (STPA) and Risk-Based Process Safety (RBPS), alongside dynamic risk assessment techniques. The text also discusses the evolution of "resilience" in process safety, resilience assessment methods, and simulation tools for enhancing safety. It includes real-world case studies coupled with insights on future trends in technology to help researchers and students alike to conduct their own future research into risk and resilience assessment in chemical process safety fields. Details state-of-the-art safety and resilience assessment methodologies Integrates control and systems engineering processes with simulation and modeling techniques Focuses on dynamic risk assessment and resilience-building strategies, reflecting the latest trends for simultaneous safety, sustainability, and process optimization and intensification Provides full details of tools, methods, and case studies for real-world applications of risk analysis in chemical processes Discusses future implications and trends in chemical process safety and security, focusing on AI and IOT driven techniques