Process Modelling and Model Analysis

ISBN-10: 0121569314
ISBN-13: 9780121569310
Edition: 2001
List price: $160.00 Buy it from $96.00
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Description: This book describes the use of models in process engineering. Process engineering is all about manufacturing--of just about anything! To manage processing and manufacturing systematically, the engineer has to bring together many different techniques  More...

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Book details

List price: $160.00
Copyright year: 2001
Publisher: Elsevier Science & Technology Books
Publication date: 5/29/2001
Binding: Hardcover
Pages: 543
Size: 6.75" wide x 9.63" long x 1.25" tall
Weight: 2.2
Language: English

This book describes the use of models in process engineering. Process engineering is all about manufacturing--of just about anything! To manage processing and manufacturing systematically, the engineer has to bring together many different techniques and analyses of the interaction between various aspects of the process. For example, process engineers would apply models to perform feasibility analyses of novel process designs, assess environmental impact, and detect potential hazards or accidents. To manage complex systems and enable process design, the behavior of systems is reduced to simple mathematical forms. This book provides a systematic approach to the mathematical development of process models and explains how to analyze those models. Additionally, there is a comprehensive bibliography for further reading, a question and answer section, and an accompanying Web site developed by the authors with additional data and exercises.

John Perkins was born on January 28, 1945 in Hanover, New Hampshire. He attended Brown University, and Boston University School of Management during the 1960s. His best-known book is Confessions of an Economic Hit Man (2004), an insider's account of the exploitation or neo-colonization of Third World countries by what Perkins describes as a cabal of corporations, banks, and the United States government. His 2007 book, The Secret History of the American Empire, provides more evidence of the negative impact of global corporations on the economies and ecologies of poor countries, as well as offering suggestions for making corporations behave more like good citizens. Since the late 1980's he has been heavily involved with non-profit organizations in Ecuador and around the world.

Gregory Stephanopoulos is a Professor of Chemical Engineering at MIT. He received his B.S. from the National Technical University of Athens, his M.S. from the University of Florida and his Ph.D. from the University of Minnesota, all in Chemical Engineering. Upon graduation, he joined the Chemical Engineering Faculty of the California Institute of Technology, where he served as Assistant and Associate Professor until 1985. In 1985 he was appointed Professor of Chemical Engineering at MIT where he has been ever since.Stephanopoulos' work has appeared in more than 150 publications and 7 patents. He has been recognized with the Dreyfus Foundation Teacher Scholar Award (1982), Excellence in Teaching Award (1984), and Technical Achievement Award of the AIChE (1984). He has been a Presidential Young Investigator and the Chairman of the Food Pharmaceutical & Bioengineering Division of the American Institute of Chemical Engineers (1992). In 1992 he was a Visiting Professor at the International Research Center for Biotechnology at Osaka University and was elected a Founding Fellow of the American Institute for Medical and Biological Engineering. In 1996 he chaired the first Conference on Metabolic Engineering and gave the inaugural Bayer Lecture on Biochemical Engineering at the University of California at Berkeley. He was honored with the FPBE Division Award at AIChE in 1997.

Introduction
Fundamental Principles and Process Model Development
The Role of Models in Process Systems Engineering
The Idea of a Model
Model Application Areas in PSE
Model Classification
Model Characteristics
A Brief Historical Review of Modelling in PSE
Summary
Review Questions
Application Exercises
A Systematic Approach to Model Building
The Process System and the Modelling Goal
Mathematical Models
A Systematic Modelling Procedure
Ingredients of Process Models
Summary
Review Questions
Application Exercises
Conservation Principles
Thermodynamic Principles of Process Systems
Principle of Conservation
Balance Volumes in Process System Applications
Summary
Review Questions
Application Exercises
Constitutive Relations
Transfer Rate Equations
Reaction Kinetics
Thermodynamical Relations
Balance Volume Relations
Equipment and Control Relations
Summary
Review Questions
Application Exercises
Dynamic Models--Lumped Parameter Systems
Characterizing Models and Model Equation Sets
Lumped Parameter Models--Initial Value Problems (IVPs)
Conservation Balances for Mass
Conservation Balances for Energy
Conservation Balances for Momentum
The Set of Conservation Balances for Lumped Systems
Conservation Balances in Intensive Variable Form
Dimensionless Variables
Normalization of Balance Equations
Steady-State Lumped Parameter Systems
Analysis of Lumped Parameter Models
Stability of the Mathematical Problem
Summary
Review Questions
Application Exercises
Solution Strategies for Lumped Parameter Models
Process Engineering Example Problems
Ordinary Differential Equations
Basic Concepts in Numerical Methods
Local Truncation Error and Stability
Stability of the Numerical Method
Key Numerical Methods
Differential-Algebraic Equation Solution Techniques
Summary
Review Questions
Application Exercises
Dynamic Models--Distributed Parameter Systems
Development of DPS Models
Examples of Distributed Parameter Modelling
Classification of DPS Models
Lumped Parameter Models for Representing DPSs
Summary
Review Questions
Application Exercises
Solution Strategies for Distributed Parameter Models
Areas of Interest
Finite Difference Methods
Method of Lines
Method of Weighted Residuals
Orthogonal Collocation
Orthogonal Collocation for Partial Differential Equations
Summary
Review Questions
Application Exercises
Process Model Hierarchies
Hierarchy Driven by the Level of Detail
Hierarchy Driven by Characteristic Sizes
Hierarchy Driven by Characteristic Times
Summary
Further Reading
Review Questions
Application Exercises
Advanced Process Modelling and Model Analysis
Basic Tools for Process Model Analysis
Problem Statements and Solutions
Basic Notions in Systems and Control Theory
Lumped Dynamic Models as Dynamic System Models
State Space Models and Model Linearization
Structural Graphs of Lumped Dynamic Models
Summary
Review Questions
Application Exercises
Data Acquisition and Analysis
Sampling of Continuous Time Dynamic Models
Data Screening
Experiment Design for Parameter Estimation of Static Models
Experiment Design for Parameter Estimation of Dynamic Models
Summary
Further Reading
Review Questions
Application Exercises
Statistical Model Calibration and Validation
Grey-Box Models and Model Calibration
Model Parameter and Structure Estimation
Model Parameter Estimation for Static Models
Identification: Model Parameter and Structure Estimation of Dynamic Models
CSTR: A Case Study of Model Parameter Estimation
Statistical Model Validation via Parameter Estimation
Summary
Further Reading
Review Questions
Application Exercises
Analysis of Dynamic Process Models
Analysis of Basic Dynamical Properties
Analysis of Structural Dynamical Properties
Model Simplification and Reduction
Summary
Further Reading
Review Questions
Application Exercises
Process Modelling for Control and Diagnostic Purposes
Model-Based Process Control
Model-Based Process Diagnosis
Qualitative, Logical and AI Models
Summary
Further Reading
Review Questions
Application Exercises
Modelling Discrete Event Systems
Characteristics and Issues
Approaches to Model Representation
Solution of Discrete Event Dynamic System Models
Analysis of Discrete Event Systems
Summary
Further Reading
Review Questions
Application Exercises
Modelling Hybrid Systems
Hybrid Systems Basics
Approaches to Model Representation
Analysis of Hybrid Systems
Solution of Hybrid System Models
Summary
Further Reading
Review Questions
Application Exercises
Modelling Applications in Process Systems
Copper Converter Dynamics
Destruction of Phenol in Wastewater by Photochemical Reaction
Prefermenter System for Wastewater Treatment
Granulation Circuit Modelling
Industrial Depropanizer using Structural Packing
Summary
Computer Aided Process Modelling
Introduction
Industrial Demands on Computer Aided Modelling Tools
Basic Issues in CAPM Tools
Approaches to CAPM Tool Development
Summary
Empirical Model Building
Introduction
The Modelling Procedure Revisited
Black-Box Modelling
Traps and Pitfalls in Empirical Model Building
Summary
Further Reading
Review Questions
Application Exercises
Basic Mathematic Tools
Random Variables and Their Properties
Hypothesis Testing
Vector and Signal Norms
Matrix and Operator Norms
Graphs
Bibliography
Index

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