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[资源] Material and Energy Balancing in the Process Industries

Material and Energy Balancing in the Process Industries - From Microscopic Balances to Large Plants  (Computer Aided Chemical Engineering V7)

by V.V. Veverka, F. Madron
Hardcover: 648 pages
Publisher: Elsevier Science; 1 edition (January 1, 1997)
Language: English
ISBN-10: 044482409X
ISBN-13: 978-0444824097

Book Description
This book represents the systematic coverage of mass and energy balancing in the process industries. The classical treatment of balances in the available literature is complemented in the following areas:
- systematic analysis of large systems by Graph theory
- comprehensive thermodynamic analysis (entropy and availability)
- balancing on the basis of measured plant data (data reconciliation)
- measurement design and optimisation
- dynamic balancing
- plant-wide regular mass and energy balancing as a part of company's information system.
The major areas addressed are:
- single- and multi-component balancing
- energy balance
- entropy and exergy (availability) balances
- solvability of balancing problems
- balancing with data reconciliation
- dynamic balancing
- measurement design and optimisation
- regular balancing of large industrial systems. The book is directed to chemical engineers, plant designers, technologists, information technology managers, control engineers and instrumentation engineers in process industries. Major areas of applications are process industries and energy production, such as oil refining, natural gas processing, petrochemistry, chemical industries, mineral processing and utility production and distribution systems. University students and teachers of chemical engineering and control will also find the book invaluable.

Contents
Chapter 1 Introduction  Pages 1-6
Chapter 2 Balancing in process industries  Pages 7-24
Chapter 3 Mass (single-component) balance  Pages 25-58
Chapter 4 Multicomponent balancing  Pages 59-97
Chapter 5 Energy balance  Pages 99-133
Chapter 6 Entropy and exergy balances  Pages 135-176
Chapter 7 Solvability and classification of variables I: Linear systems  Pages 177-199
Chapter 8 Solvability and classification of variables II: Nonlinear systems  Pages 201-295
Chapter 9 Balancing based on measured data-reconciliation I: Linear reconciliation  Pages 297-352
Chapter 10 Balancing based on measured data-reconciliation II: Nonlinear reconciliation  Pages 353-416
Chapter 11 Dynamic balancing  Pages 417-435
Chapter 12 Measurement planning and optimisation  Pages 437-455
Chapter 13 Mass and utilities balancing with reconciliation in large systems: A case study  Pages 457-485
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