| Edition |
1st ed. |
| Description |
1 online resource (viii, 257 pages) : illustrations |
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text txt rdacontent |
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computer c rdamedia |
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online resource cr rdacarrier |
| Series |
Computer-aided chemical engineering, 1570-7946 ; 16 |
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Computer-aided chemical engineering ; 16. 1570-7946
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| Summary |
Detailed mathematical models are increasingly being used by companies to gain competitive advantage through such applications as model-based process design, control and optimization. Thus, building various types of high quality models for processing systems has become a key activity in Process Engineering. This activity involves the use of several methods and techniques including model solution techniques, nonlinear systems identification, model verification and validation, and optimal design of experiments just to name a few. In turn, several issues and open-ended problems arise within these methods, including, for instance, use of higher-order information in establishing parameter estimates, establishing metrics for model credibility, and extending experiment design to the dynamic situation. The material covered in this book is aimed at allowing easier development and full use of detailed and high fidelity models. Potential applications of these techniques in all engineering disciplines are abundant, including applications in chemical kinetics and reaction mechanism elucidation, polymer reaction engineering, and physical properties estimation. On the academic side, the book will serve to generate research ideas. - Contains wide coverage of statistical methods applied to process modelling - Serves as a recent compilation of dynamic model building tools - Presents several examples of applying advanced statistical and modelling methods to real process systems problems. |
| Contents |
Methodological Aspects in the Modelling of Novel Unit Operations -- Dynamic Modelling, Nonlinear Parameter Fitting and Sensitivity Analysis of a Living Free-radical Polymerisation Reactor -- An Investigation of Some Tools for Process Model Identification for Prediction -- Multivariate Weighted Least Squares as an Alternative to the Determinant Criterion for Multiresponse Parameter Estimation -- Model Selection: An Overview of Practices in Chemical Engineering -- Statistical Dynamic Model Building: Applications of Semi-infinite Programming -- Non-constant Variance and the Design of Experiments for Chemical Kinetic Models -- A Continuous-Time Hammerstein Approach Working with Statistical Experimental Design -- Process Design Under Uncertainty: Robustness Criteria and value of information -- A Modelling Tool for Different Stages of the Process Life. |
| Bibliography |
Includes bibliographical references and indexes. |
| Note |
Print version record. |
| Subject |
Chemical engineering -- Mathematical models -- Congresses.
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Chemical engineering -- Data processing -- Congresses.
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Génie chimique -- Modèles mathématiques -- Congrès.
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Génie chimique -- Informatique -- Congrès.
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TECHNOLOGY & ENGINEERING -- Chemical & Biochemical.
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SCIENCE -- Chemistry -- Industrial & Technical.
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Chemical engineering -- Data processing
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Chemical engineering -- Mathematical models
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| Genre/Form |
proceedings (reports)
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Conference papers and proceedings
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Conference papers and proceedings.
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Actes de congrès.
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| Added Author |
Asprey, S. P.
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Macchietto, S.
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| Other Form: |
Print version: Workshop on the Life of a Process Model--from Conception to Action (2000 : London, England). Dynamic model development. 1st ed. Amsterdam ; Boston : Elsevier, 2003 0444514651 9780444514653 (DLC) 2003054656 (OCoLC)52456718 |
| ISBN |
9780444514653 |
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0444514651 |
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9780080530574 |
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0080530575 |
| Standard No. |
AU@ 000051859883 |
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AU@ 000062578056 |
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CHNEW 001005373 |
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DEBBG BV042304243 |
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DEBSZ 367751801 |
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DEBSZ 482350717 |
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NZ1 12434138 |
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AU@ 000055716515 |
|
