A New Approach To Hazop Of Complex Chemical Processes

Effective implementation of Industry 4.0 in process facilities requires the modernization of Quality and Process Safety Management systems and their elements to QMS 4.0 and PSM 4.0. In the context of hazard identification and risk assessment element of PSM, HAZOP plays an essential role for design and operation of the process safeguards against hazardous operating scenarios and predictive maintenance of the safety critical equipment. Therefore, HAZOP should be modernized to HAZOP 4.0 too. A New Approach to HAZOP of Complex Chemical Processes treats complexity assessment and management methods to modify the conventional HAZOP worksheets at an early stage of a project by complexity assessment. The book is written by authors who have decades of experience in advanced process monitoring and artificial intelligence to a) support HAZOP teams with an holistic dynamic simulation and multivariable monitoring of the complex systems, and b) to access historical failures and accidents data and information using artificial intelligence techniques in a user-friendly way. A New Approach to HAZOP of Complex Chemical Processes raises awareness that oversimplification of complex processes or hazardous operating scenarios could lead to major accidents. The book proposes practical methods to identify and categorize process complexities systematically and follows a holistic assessment of their risk and required safeguards which enables you to define the boundaries of the HAZOP 4.0 accurately. Complexity assessment and management to the conventional HAZOP Multivariable monitoring to dynamic simulation for a holistic hazard identification and process safeguards requirements Artificial intelligence (AI) to support the HAZOP team with code-based requirements and historical failure and accident data AI to find the dynamic behavior of process based on empirical data without the models with simplification assumptions Includes case studies

• | Author: Fabienne-Fariba Salimi, Ali Akbar Safavi, Leonhard Urbas, Frederic Salimi
• | Publisher: Elsevier
• | Publication Date: May 15, 2023
• | Number of Pages: 314 pages
• | Language: English
• | Binding: Paperback
• | ISBN-10: 0323905625
• | ISBN-13: 9780323905626