Process Modelling and Model Analysis book cover

Process Modelling and Model Analysis

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.

Audience
Undergraduate and graduate students in chemical, process, environmental, or control engineering. Professionals engineers in industry and government.

Included in series
Process Systems Engineering

Hardbound, 543 Pages

Published: May 2001

Imprint: Academic Press

ISBN: 978-0-12-156931-0

Contents

  • Introduction
    FUNDAMENTAL PRINCIPLES AND PROCESS MODEL DEVELOPMENT
    The Role of Models in Process Systems Engineering; A Systematic Approach to Model Building; Conservation Principles; Constitutive Relations; Dynamic Models - Lumped Parameter Systems; Solution Strategies for Lumped Parameter Models; Dynamic Models - Distributed Parameter SystemsSolution Strategies for Distributed Parameter Systems; Process Model Hierarchies

    ADVANCED PROCESS MODELING AND MODEL ANALYSIS
    Basic Tools for Process Model Analysis; Data Acquisition and Analysis; Statistical Model Calibration and Validation; Analysis of Dynamic Process Models; Process Modeling for Control and Diagnostic Purposes; Modeling Discrete Event Systems; Modeling Hybrid Systems; Modeling Applications in Process Systems; Computer Aided Process Modeling; Empirical Model Building; Appendix: Basic Mathematic Tools; Bibliography; Index

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