Alexander N. Gorban, Boris M. Kaganovich, Sergey P. Filippov, Alexandre V. Keiko, Vitaly A. Shamansky, Igor A. Shirkalin

Thermodynamic Equilibria and Extrema (eBook, PDF)

Analysis of Attainability Regions and Partial Equilibrium

• Format: PDF

Produktbeschreibung

This book discusses mathematical models that are based on the concepts of classical equilibrium thermodynamics. These are intended for the analysis of possible results of diverse natural and production processes. Unlike traditional models, these allow readers to view the achievable set of partial equilibria with regards to constraints on kinetics, energy and mass exchange and to determine states of the studied systems of interest for the researcher. Numerous examples illustrate practical application of the suggested models in chemical technology, energy and ecology.

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Produktdetails

• Verlag: Springer US
• Seitenzahl: 282
• Erscheinungstermin: 31. Oktober 2006
• Englisch
• ISBN-13: 9780387386041
• Artikelnr.: 37288393

Autorenporträt

Alexander N. Gorban, University of Leicester, UK / Boris M. Kaganovich, Melentiev Energy Systems Institute, Irkutsk, Russia / Sergey P. Filippov, Energy Research Institute, Moscow, Russia / Alexandre V. Keiko, Melentiev Energy Systems Institute, Irkutsk, Russia / Vitaly A. Shamansky, Melentiev Energy Systems Institute, Irkutsk, Russia / Igor A. Shirkalin, Melentiev Energy Systems Institute, Irkutsk, Russia

Inhaltsangabe

Introduction.- Principles of Equilibrium and Extremality in Mechanics and Thermodynamics.- Description of Extremal Thermodynamic Models in Terms of Mathematical Programming.- Thermodynamic Modelling Using the Graph Theory.- Methods and Algorithms of Searching for Thermodynamic Equilibrium.- Application of Extremal Models.- Conclusion.- References

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Principles of Equilibrium and Extremality in Mechanics and Thermodynamics.- Extreme Thermodynamic Models in Terms of Mathematical Programming.- Thermodynamic Modeling on Graphs.- Methods and Algorithms of Searching for Thermodynamic Equilibria.- Application of Extreme Models.