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An Introduction to Computational Thermodynamics: Phase Equilibrium and Equations of State - Hardcover

Greenhalgh, Brian R.

 
9783032303165: An Introduction to Computational Thermodynamics: Phase Equilibrium and Equations of State

Synopsis

This book demystifies fluid phase equilibrium calculations, guiding readers through equations of state, phase boundaries, and flash algorithms with clarity and precision.Designed for students and professionals in science and engineering, it bridges the gap between thermodynamic theory and real-world computation. Starting from core concepts such as energy and entropy, it builds step by step toward algorithms used in computational thermodynamics. By the end,readers will not only understand the theory but also how to implement it in practice.



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About the Author

Dr. Brian R.Greenhalgh has more than 15 years of experience in thermodynamics across the chemicals and oil & gas industries, including roles at NOVA Chemicals (now Borouge International), ExxonMobil, and Shell. His work has focused on industrial applications of thermodynamics in global industrial settings. He has taught engineering courses at the university level in Canada, and holds a Ph.D. in Chemical Engineering from the University of Alberta (2007) and a B.Sc. in Chemistry from Simon Fraser University (2000).

From the Back Cover

This book demystifies fluid phase equilibrium calculations, guiding readers through equations of state, phase boundaries, and flash algorithms with clarity and precision.Designed for students and professionals in science and engineering, it bridges the gap between thermodynamic theory and real-world computation. Starting from core concepts such as energy and entropy, it builds step by step toward algorithms used in computational thermodynamics. By the end,readers will not only understand the theory but also how to implement it in practice.

  •    Demystifies equations of state, fugacity, and phase equilibrium in thermodynamic calculations
  •    Explains implementation and testing of thermodynamic algorithms used in process simulation
  •    Provides consistent examples of multicomponent, multiphase calculations with numerical output

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