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A New Approach to HAZOP of Complex Chemical Processes
- 1st Edition - May 3, 2023
- Authors: Fabienne-Fariba Salimi, Ali Akbar Safavi, Leonhard Urbas, Frederic Salimi
- Language: English
- Paperback ISBN:9 7 8 - 0 - 3 2 3 - 9 0 5 6 2 - 6
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 9 0 6 8 4 - 5
A New Approach to HAZOP of Complex Chemical Processes provides practical methods to identify and categorize chemical process complexities systematically. The book follows a holist… Read more
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Request a sales quoteA New Approach to HAZOP of Complex Chemical Processes provides practical methods to identify and categorize chemical process complexities systematically. The book follows a holistic assessment of risks and required safeguards which enables readers to define the boundaries of HAZOP 4.0 accurately. The book is written by authors who have decades of experience in advanced process monitoring and artificial intelligence to support HAZOP teams with a holistic dynamic simulation and multivariable monitoring of the complex systems, and to assess historical failure and accident data and information using artificial intelligence techniques in a user-friendly way.
- Presents complexity assessment and management to the conventional HAZOP
- Provides multivariable monitoring to dynamic simulation for a holistic hazard identification and process safeguards requirements
- Describes AI to support the HAZOP team with code-based requirements and historical failure and accident data
- Explains AI to find the dynamic behavior of process based on empirical data without the models with simplification assumptions
Process engineers in instrumentation and control; Process safety engineers in design, commissioning, and operation; Process licensors; Digitalisation and IIoT experts; Learning & Development managers, leaders and trainers; Process safety professors and undergraduates
- Cover image
- Title page
- Table of Contents
- Copyright
- Preface
- Acronyms
- Chapter 1
- Chapter 2
- Chapter 3
- Chapter 4
- Chapter 5
- Chapter 6
- Chapter 7
- Chapter 8
- Chapter 9
- Chapter 10
- Section 1: Basic concepts and methodologies
- Chapter 1. Introduction
- Abstract
- 1.1 Introduction
- References
- Chapter 2. Hazard identification techniques
- Abstract
- 2.1 Overview
- 2.2 Hazard analysis and system thinking
- References
- Chapter 3. HAZOP techniques
- Abstract
- 3.1 Overview
- 3.2 Conventional HAZOP
- 3.3 HAZOP quality assurance
- 3.4 Knowledge-based HAZOP
- 3.5 Quantitative HAZOP
- 3.6 Control system HAZOP
- 3.7 Other HAZOP
- 3.8 HAZOP in context of engineering execution plan
- References
- Section 2: HAZOP complexity management
- Chapter 4. Automated HAZOP
- Abstract
- 4.1 Introduction
- 4.2 Structure of automated HAZOP
- 4.3 Digital representation of a process plant
- 4.4 Ontology
- 4.5 Process steps of the workflow of exchange data
- 4.6 Knowledge representation
- 4.7 Algorithmic hazard identification
- References
- Chapter 5. Case Study 1: High Integrity Pressure Protection System (HIPPS)
- Abstract
- 5.1 HIPPS dossier
- References
- Chapter 6. How complexity applies to HAZOP?
- Abstract
- 6.1 Complexity science
- 6.2 Cynefin framework for complexity assessment of HAZOP
- 6.3 Integration of complexity in ISO 31000 risk management model
- 6.4 Node complexity level
- 6.5 Determination of the complexity level of HAZOP nodes
- 6.6 Complexity types of HAZOP scenarios
- 6.7 Process complexity of safeguard (CS)
- 6.8 Complexity management
- References
- Chapter 7. Multivariable process monitoring for HAZOP
- Abstract
- 7.1 Introduction
- 7.2 Motivations and objectives
- 7.3 The proposed methodology
- 7.4 Outline of the proposed monitoring algorithm for HAZOP studies
- 7.5 The proposed PCA–SVDD algorithm for evaluation of HAZOP scenarios
- References
- Chapter 8. Artificial intelligence for HAZOP
- Abstract
- 8.1 Introduction
- 8.2 Motivations and objectives
- 8.3 The proposed methodology
- References
- Chapter 9. Case study 2: Managing the Complexities of the HAZOP for styrene polymerization plant
- Abstract
- 9.1 Introduction
- 9.2 Polystyrene accidentology
- 9.3 Hazard identification (HAZID)
- 9.4 The case study process description
- 9.5 Kinetic mechanism
- 9.6 The process model
- 9.7 The control structure
- 9.8 Model verification
- 9.9 Process safeguarding strategy
- 9.10 Shutdowns history of the polystyrene process under study
- 9.11 Applying the complex HAZOP method
- 9.12 Use of multivariable process monitoring technique for HAZOP
- 9.13 Use of artificial neural networks (ANN) for HAZOP
- References
- Chapter 10. Digital twins for PSM 4.0
- Abstract
- 10.1 What is digital twin?
- 10.2 Building the data model
- 10.3 Building the smart plant model
- 10.4 ADEPP digital twin
- 10.5 Toward HAZOP 4.0
- References
- Index
- No. of pages: 314
- Language: English
- Edition: 1
- Published: May 3, 2023
- Imprint: Elsevier
- Paperback ISBN: 9780323905626
- eBook ISBN: 9780323906845
FS
Fabienne-Fariba Salimi
Fabienne-Fariba Salimi has over 30 years of experience as a chemical process engineer. She has experience in Management and Chemical Process Safety engineering in oil and gas industries both offshore and onshore installations. She has particular expertise is dynamic simulation of chemical processes and accident consequence modelling in quantitative risk analysis. Her main qualifications were obtained in Iran and France and she is member of the Institute of Chemical Engineers, American Institute of Chemical Engineers, International Society of Automation, and Association of the French System Engineers. She is the co-developer of ADEPP and has been the Project Manager of ADEPP Academy since 1994.
Affiliations and expertise
Process Safety Expert, ADEPP Academy, London, UKAS
Ali Akbar Safavi
Ali Akbar Safavi received his B.S. degree in Electrical Engineering from Shahid Chamran University, Iran, in 1987, and his M.Sc. degree in Control Engineering from the University of NSW, Australia, in 1992. His Ph.D. in Process Systems Engineering was completed at Sydney University in 1995. In 1996, he was a Postdoctoral fellow in Sydney University. He joined Shiraz University in 1997. He is currently a Professor in the School of Electrical and Computer Engineering at Shiraz University in Iran. He has been principal investigator of several industrial projects and several international project. He is author of several books and more than 250 papers. For many years, has been the Directing Board Member of various Scientific Associations including ISICE, YADA, etc. His research interests are model predictive control, wavelets, neural networks, system identification, networked based control, and information technology, IIoT, and Industry 4.0. and Industry 5.0. See https://safavi.home.shirazu.ac.ir/,
http://linkedin.com/in/ali-akbar-safavi-90451039.
Affiliations and expertise
School of Electrical and Computer Engineering, Shiraz University, Shiraz, IranLU
Leonhard Urbas
Leonhard Urbas studied information technology in mechanical engineering in Technische Universität Berlin (1988-1993). He was research associate at the institute of Process and Plant Engineering in TU Berlin from 1993 to 1997. In 1998, he had topic and project responsibility in the field of automation technology at degussa AG, Hanau/Köln/Dortmund from for two years. From 2000 to 2006, he was the leader of junior research group "Bedienermodellierung in dynamischen Mensch-Maschine-Systemen" in TU Berlin. He is currently the head of the Chair of Process Control Systems and the Process Systems Engineering Group at Technische Universität Dresden, Dresden, Germany, and a professor. His research interests include engineering of distributed safety-critical systems, in particular function integration, model-driven engineering and modularization; information models of the process industry, process information and management systems and middleware in automation engineering; usability of multimodal and mobile interfaces in automation systems; Analysis, design and evaluation of alerting and support systems; methods of user modeling for prospective design of human-technology interaction. See:
https://tu-dresden.de/ing/elektrotechnik/ifa/plt/die-professur/mitarbeiter/leon-urbas
Affiliations and expertise
Technische Universitat Dresden, Dresden, GermanyFS
Frederic Salimi
Frederic Salimi has over 35 years of experience in safety engineering and petrochemical design in oil and gas industries both onshore and offshore. He has experience in HSE management and risk based design for EPC projects. His expertise includes Safety & Environment code and standard compliance, pipeline risk assessment, critical system identification, and Qualitative and Quantitative Risk Assessment. His main qualifications in Physics and RAMS were obtained in Iran and France. He is a member of the American Institute of Chemical Engineers. He is the co-author of ADEPP and co-founder of the ADEPP Academy.
Affiliations and expertise
Process Safety Expert, ADEPP Academy