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Material and Energy Balancing in the Process Industries
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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 http://www.91files.com/?3GDKE071KUXGWL41X23X |
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