Dynamic model development [recurso electrónico] methods, theory, and applications : proceedings from a Workshop on the Life of a Process Model--from Conception to Action, October 25-26, 2000, Imperial College, London, UK

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 Content: Foreword Page v S. Asprey, S. Macchietto Methodological aspects in the modelling of novel unit operations Original Research Article Pages 1-20 H. Haario, I. Turunen Dynamic modelling, nonlinear parameter fitting and sensitivity analysis of a living free-radical polymerization reactor Original Research Article Pages 21-39 Antonio Flores-Tlacuahuac, Enrique Saldívar-Guerra, Ramiro Guerrero-Santos An investigation of some tools for process model indentification for prediction Original Research Article Pages 41-62 Niels Rode Kristensen, Henrik Madsen, Sten Bay Jørgensen Multivariate weighted least squares as an alternative to the determinant criterion for multiresponse parameter estimation Original Research Article Pages 63-84 P.W. Oxby, T.A. Duever, P.M. Reilly Model selection: An overview of practices in chemical engineering Original Research Article Pages 85-104 Peter J.T. Verheijen Statistical dynamic model building: Applications of semi-infinite programming Original Research Article Pages 105-139 Steven P. Asprey Non-constant variance and the design of experiments for chemical kinetic models Original Research Article Pages 141-158 Anthony C. Atkinson A continuous-time hammerstein approach working with statistical experimental design Original Research Article Pages 159-173 Derrick K. Rollins Process design under uncertainty: Robustness criteria and value of information Original Research Article Pages 175-208 F.P. Bernardo, P.M. Saraiva, E.N. Pistikopoulos A modelling tool for different stages of the process life Original Research Article Pages 209-249 Mauricio Sales-Cruz, Rafiqul Gani Other papers presented at the workshop Page 251 Author index Page 253 Subject index Pages 255-257