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

by: Miguel J. Bagajewicz, Donald J. Chmielewski


Abstract: An essential guide for process plant engineers–from an introductory tutorial to discussions of new and critical material for the new generation of smart plants: error-free process variable estimation, control, fault detection, instrumentation upgrade and maintenance optimization.Data reconciliation, gross error detection, and instrumentation upgrade are at the center of bias-free accurate estimates of process flowrates, temperatures, and process parameters. The book discusses the value of information, control and fault detection by making connections of these activities to the plant economics. Next it discusses the needed instrumentation to accomplish it. Finally it covers the optimization of preventive maintenance activities, including those of the instrumentation.Smart Process Plants covers introductory mathematical material and contains novel and critical information that is not available in other books. Detailed worked-out examples useful to clarify concepts are included in the book.
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Book Details

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

Publisher: : New York, Chicago, San Francisco, Lisbon, London, Madrid, Mexico City, Milan, New Delhi, San Juan, Seoul, Singapore, Sydney, Toronto

Copyright / Pub. Date: 2010 The McGraw-Hill Companies, Inc.

ISBN: 9780071604710

Authors:

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.

Donald J. Chmielewski is the author of this McGraw-Hill Professional publication.

Description: An essential guide for process plant engineers–from an introductory tutorial to discussions of new and critical material for the new generation of smart plants: error-free process variable estimation, control, fault detection, instrumentation upgrade and maintenance optimization.Data reconciliation, gross error detection, and instrumentation upgrade are at the center of bias-free accurate estimates of process flowrates, temperatures, and process parameters. The book discusses the value of information, control and fault detection by making connections of these activities to the plant economics. Next it discusses the needed instrumentation to accomplish it. Finally it covers the optimization of preventive maintenance activities, including those of the instrumentation.Smart Process Plants covers introductory mathematical material and contains novel and critical information that is not available in other books. Detailed worked-out examples useful to clarify concepts are included in the book.