Introduction to Process Systems Engineering

Basic Principles and Calculations with MATLAB and Python
Erscheinungsjahr 2026
ISBN: 978-0-443-45444-8
Verlag: Elsevier Science

Buch, Englisch, 350 Seiten, Format (B × H): 191 mm x 235 mm

Introduction to Process Systems Engineering: Basic Principles and Calculations with MATLAB and Python comprehensively approaches mastering core chemical engineering concepts through computational methods. The book bridges the gap between theory and practice by integrating numerical computations from the outset, enabling students and professionals to develop practical skills alongside foundational knowledge. Covering essential topics such as mass and energy balances, property calculations, vapor-liquid equilibria, and process optimization, the book emphasizes realistic problem-solving using accessible MATLAB and Python programs. Each chapter features real-world examples, progressively increasing in complexity to build confidence and competence. The material is tailored to current chemical engineering practice, making it an invaluable resource for students, researchers, and industry practitioners seeking to enhance their computational and analytical capabilities in process systems engineering. This book empowers readers to learn by doing, fostering a deeper understanding of both theoretical principles and their practical applications.

Autoren/Hrsg.

Kookos, Ioannis K

Fachgebiete

• Mathematik | Informatik EDV | Informatik Business Application Unternehmenssoftware
• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung
• Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Verfahrenstechnik, Chemieingenieurwesen

Inhaltsverzeichnis

1. Introduction
2. Basic Definitions
3. Mass Balance Equations
4. Energy Balance In Macroscopic Systems
5. Material Balances At Steady State 5.1introduction
6. Simultaneous Material And Energy Balances At Steady State
7. Calculating Properties Of Pure Components
8. Vapour-Liquid Equilibria Calculations
9. Graphical Methods Of Design
10. Dimensional Analysis And Scale Up
11. Differential Balances
12. Solving Nonlinear Algebraic And Differential Equations
13. Optimization Of Chemical Processes
14. Batch Processes
15. Phycrometry, Refrigeration And Power Production Cycles 15.1 Introduction
16. Energy And Energy Production Systems