Material and Energy Balancing in the Process Industries: From Microscopic Balances to Large Plants

Vladimír V. Veverka and František Madron (Eds.)978-0-444-82409-7

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.

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Table of contents :
Content:
Chapter 1 Introduction
Pages 1-6

Chapter 2 Balancing in process industries Original Research Article
Pages 7-24

Chapter 3 Mass (single-component) balance Original Research Article
Pages 25-58

Chapter 4 Multicomponent balancing Original Research Article
Pages 59-97

Chapter 5 Energy balance Original Research Article
Pages 99-133

Chapter 6 Entropy and exergy balances Original Research Article
Pages 135-176

Chapter 7 Solvability and classification of variables I: Linear systems Original Research Article
Pages 177-199

Chapter 8 Solvability and classification of variables II: Nonlinear systems Original Research Article
Pages 201-295

Chapter 9 Balancing based on measured data-reconciliation I: Linear reconciliation Original Research Article
Pages 297-352

Chapter 10 Balancing based on measured data-reconciliation II: Nonlinear reconciliation Original Research Article
Pages 353-416

Chapter 11 Dynamic balancing Original Research Article
Pages 417-435

Chapter 12 Measurement planning and optimisation Original Research Article
Pages 437-455

Chapter 13 Mass and utilities balancing with reconciliation in large systems: A case study Original Research Article
Pages 457-485

Appendix A Graph theory
Pages 487-513

Appendix B Vectors and matrices
Pages 515-570

Appendix C Differential balances
Pages 571-584

Appendix D Differential form of the 2nd law of thermodynamics
Pages 585-588

Appendix E Probability and statistics
Pages 589-608

Appendix F Exercises
Pages 609-621

List of symbols
Pages 623-632

Subject index
Pages 633-637