Process Modelling and Model Analysis |
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| Katalin Hangos, Ian Cameron |
| May 2001, Academic Pr, Hardcover, 544 pages, ISBN 0121569314
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| Process modeling is one of the key aspects of process systems engineering.
It is a significant activity in most major companies around the world,
driven by applications such as process optimization, design, and control.
Process Modeling and Modeling Analysis gives a comprehensive treatment
of process modeling for the student, researcher, and industrial practitioner.
It presents a systematic approach to modeling covering model formulation,
documentation, analysis, solution, and validation. Process models depend
not only on the process itself, but also on the modeling goal. This book,
therefore, places its main emphasis on process models for dynamic simulation
and process control purposes.
This book:
- Introduces a structured modeling methodology emphasizing the importance
of the modeling goal and including key steps such as model verification,
calibration, and validation.
- Focuses on novel and advanced modeling techniques such as discrete,
hybrid, hierarchical, and empirical modeling
- Illustrates the notions, tools, and techniques of process modeling
with examples and advances applications
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Introduction
I Fundamental Principles and Process Model Development
1 The Role of Models in Process Systems Engineering
2 A Systematic Approach to Model Building
3 Conservation Principles
4 Constitutive Relations
5 Dynamic Models - Lumped Parameter Systems
6 Solution Strategies for Lumped Parameter Models
7 Dynamic Models - Distributed Parameter Systems
8 Solution Strategies for Distributed Parameter Models
9 Process Model Hierarchies
II Advanced Process Modelling and Model Analysis
10 Basic Tools for Process Model Analysis
11 Data Acquisition and Analysis
12 Statistical Model Calibration and Validation
13 Analysis of Dynamic Process Models
14 Process Modelling for Control and Diagnostic Purposes
15 Modelling Discrete Event Systems
16 Modelling Hybrid Systems
17 Modelling Applications in Process Systems
18 Computer Aided Process Modelling
19 Empirical Model Building
App.: Basic Mathematic Tools
Bibliography
Index
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From the Publisher
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. |
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| Katalin Hangos is currently a research professor at the Computer
and Automation Research Institute, Hungary. She is one of the few woman
professors in process systems engineering with a strong background in
systems and control theory and computer science. Dr. Hangos's main interest
is dynamic process modeling for control and diagnosis purposes. She is
co-author of more than 100 papers on various aspects of modeling and its
control applications including nonlinear and stochastic process system
models, Petri nets, qualitative, and graph-theoretical models.
Ian Cameron is Reader in Chemical Engineering at the University
of Queensland with teaching, research, and consultancy interests in process
systems engineering. He has a particular interest in process modeling,
dynamic simulation, and the application of advanced numerical methods
to large-scale process systems. He has developed innovative courses in
process modeling, design, and risk management, having extensive industrial
experience in these areas. He continues to work closely with industry
and government on systems approaches to process and risk management problems,
as well as the development of internet-based tools for process systems
applications.
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From Book News, Inc.
This textbook focuses on process models for dynamic simulation and process control purposes. Hangos (Hungarian Academy of Sciences) and Cameron (University of Queensland) present static and dynamic process models with their solutions methods, and hierarchical process models which are related by scales of time or degree of detail. The second part of the text deals with the analysis of process models for a given modeling goal, discussing control and diagnosis where mostly lumped dynamic process models are used, and static flowsheeting with lumped static process model.Book News, Inc.®, Portland, OR
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