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Multiscale Modeling for Process Safety Applications
Multiscale Modeling for Process Safety Applications
Publisher
: Elsevier, Amsterdam
Title
: Multiscale Modeling for Process Safety Applications
Author : Arnab Chakrabarty, Sam Mannan and Tahir Cagin Year of Publication
: 2016
Pages
: 429
ISBN
: 978-0-12-396975-0
Reviewer
: Krishna B. Misra
Status
: Review Complete
The book comprises 11 chapters preceded by a Preface and an Acknowledgement as follows:
Chapter 1
Introduction
03 Pages
Chapter 2
Process Safety
105 Pages
Chapter 3
Molecular-Level Modelling and Simulation in Process Safety
100 Pages
Chapter 4
Computational Fluid Dynamics Simulation in Process Safety
64 Pages
Chapter 5
Finite Element Analysis in Process Safety Applications
14 Pages
Chapter 6
Dynamic Simulation, Chaos Theory, and Statistical Analysis in Process Safety
20 Pages
Chapter 7
Equipment Failure
30 Pages
Chapter 8
Inherently Safer Design
58 Pages
Chapter 9
Application of Modeling for Industrial Hygiene and Toxicological Issues
10 Pages
Chapter 10
Conclusion
03 Pages
Chapter 11
Exercises
12 Pages
Index
07 Pages
Several accidents such as release of methyl isocyanate in Bhopal plant in December 1984 and Macondo
disaster in 2010 certainly emphasize the importance of process safety. But assessing quantitatively process safety in spite of great strides in experimental validation and experience of handling the problem, the state of art of process safety is far from being satisfactory due to several reasons which includes substituting lack of understanding by conservatism in modelling. Multi-scale modeling is a computational technique for solving problems involving multiple scales, such as how a flammable vapour cloud might behave if ignited. This book therefore provides information on the fundamental topics of toxic, fire, and air explosion modeling, as well as modeling jet and pool fires using computational fluid dynamics. It is a valuable resource for readers interested in theoretical simulations and/or computer simulations of hazardous scenarios.
Molecular-level Modeling and simulation as well as computational fluid dynamics simulation constitutes two important chapters of the book. Necessary tools and background material such as finite element analysis, statistical analysis and Bayesian theory is covered in several chapters help understand the state of the art in practices of the process safety modelling and assessment and regulations. Monte Carlo simulation in inherently safe designs constitutes an important chapter of the book. The book also covers nanomaterial toxicity, QPSR analysis on relation of chemical structure to flash point, molecular structure and burning velocity, first principle studies of reactive chemicals, water and air reactive chemicals, and dust explosions.
The book is written by three experienced researchers and practitioners and brings wealth of information in the area of process safety, quantitative risk assessment. Besides being of academic interest to graduate students and researchers from the area of chemical engineering, the book shall be useful to process safety engineers. Worked out examples, case studies, and a question bank help a student to understand the subject in depth and enhances the utility of the book for a professional in the area. The book provides in depth information for use to a plant safety and reliability engineer.This review has been published in Vol. 12, No. 3, May 2016 issue of the IJPE