Process Modelling and Model Analysis

✍ Scribed by K.M. Hangos and I.T. Cameron (Eds.)

Publisher: Elsevier, Academic Press
Year: 2001
Tongue: English
Leaves: 363
Series: Process Systems Engineering 4
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

Inspired by the leading authority in the field, the Centre for Process Systems Engineering at Imperial College London, this book includes theoretical developments, algorithms, methodologies and tools in process systems engineering and applications from the chemical, energy, molecular, biomedical and other areas. It spans a whole range of length scales seen in manufacturing industries, from molecular and nanoscale phenomena to enterprise-wide optimization and control. As such, this will appeal to a broad readership, since the topic applies not only to all technical processes but also due to the interdisciplinary expertise required to solve the challenge.
The ultimate reference work for years to come.

✦ Table of Contents

Content:
Introduction
Pages xiii-xvi

1 The role of models in process systems engineering
Pages 3-18

2 A systematic approach to model building
Pages 19-40

3 Conservation principles
Pages 41-63

4 Constitutive relations
Pages 65-82

5 Dynamic models—Lumped parameter systems
Pages 83-122

6 Solution strategies for lumped parameter models
Pages 123-161

7 Dynamic models—Distributed parameter systems
Pages 163-189

8 Solution strategies for distributed parameter models
Pages 191-222

9 Process model hierarchies
Pages 223-247

10 Basic tools for process model analysis
Pages 251-284

11 Data acquisition and analysis
Pages 285-297

12 Statistical model calibration and validation
Pages 299-334

13 Analysis of dynamic process models
Pages 335-362

14 Process modelling for control and diagnostic purposes
Pages 363-386

15 Modelling discrete event systems
Pages 387-414

16 Modelling hybrid systems
Pages 415-436

17 Modelling applications in process systems
Pages 437-469

18 Computer aided process modelling
Pages 471-492

19 Empirical model building
Pages 493-516

Appendix: Basic mathematical tools
Pages 517-525

Bibliography
Pages 527-533

Index
Pages 535-543

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