Smart Process Plants: Software and Hardware Solutions for Accurate Data and Profitable Operations

Auteur

Professor Miguel J. Bagajewicz is the Sam Wilson Professor of Chemical Engineering at the University of Oklahoma. His research is in the fields of design, operation, simulation, and optimization of process plants and product design. In addition, Bagajewicz specializes in financial risk, environmentally benign processes, and micro-economics, as applied to product design.

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A Detailed Guide to the New Generation of Smart Process Plants

Maximize plant profitability by minimizing operating costs. Smart Process Plants addresses measurements and the data they generate, error-free process variable estimation, control, fault detection, instrumentation upgrade, and maintenance optimization, and then connects these activities to plant economics. Methods for calculating the value of the information produced are included. The book discusses optimal instrumentation type, quality, precision, and location along with preventive maintenance techniques. Practical examples throughout the book demonstrate how to perform essential calculations.

Smart Process Plants covers:

• Measurement instrument performance and measurement errors
• Variable classification and canonical representation
• Linear, nonlinear, and dynamic data reconciliation
• Gross error detection, equivalency, size elimination, and estimation
• Accuracy of estimators
• Value of accuracy, control strategies, parametric fault identification, and instrumentation upgrade
• Maintenance optimization

Résumé
An essential guide for process plant engineers--from an introductory tutorial to discussions of new and critical material, including data accuracy and error-free process

Contenu

Chapter 1. Smart Plants;Chapter 2. Measurement Errors;Chapter 3. Variable Classification;Chapter 4. Material Balance Data Reconciliation;Chapter 5. Gross Error Detection;Chapter 6. Equivalency of Gross Errors;Chapter 7. Gross Error Size Elimination and Estimation;Chapter 8. Nonlinear Data Reconciliation;Chapter 9. Dynamic Data Reconciliation;Chapter 10. Accuracy of Estimators;Chapter 11. Ecomimic VEconomic Accuracy;Chapter 12. Data Reconciliation Practical Issues;Chapter 13. Value of Control Strategies;Chapter 14. Value of Parametric Fault Identification;Chapter 15. Value of Instrumentation Upgrade--Monitoring and Faults Perspectives;Chapter 16. Value of Instrumentation Upgrade--Control Perspective;Chapter 17. Structural Faults and Value of Maintenance; Chapter 18. Maintenance Optimization;Chapter 19. Value and Optimization of Instrument Maintenance;Index