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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 8-2disaster 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

 

 
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