Introduction to Process Systems Engineering

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Introduction to Process Systems Engineering,

Edition 1 Basic Principles and Calculations with MATLAB and Python

Editors: By Ioannis K. Kookos

Publication Date: 21 Aug 2026

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Introduction to Process Systems Engineering: Basic Principles and Calculations with MATLAB and Python comprehensively approaches how to master 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.

Key Features

Facilitates the learning process through the parallel development of theoretical and computational skills
Incorporates realistic examples of solved problems
Employs relatively simple computer programs in MATLAB and Python
Focuses exclusively on material that is relevant and current to chemical engineering practice

About the author

By Ioannis K. Kookos, Professor, Department of Chemical Engineering, University of Patras, Greece

1. Introduction
1.1 Introduction
1.2 History Of Chemical Engineering
1.3 Process Systems Engineering
1.4 Structure Of This Book

2. Basic Definitions
2.1 Introduction
2.2 Definitions
2.3. Common Measured Variables
2.4 The Si System Of Units
2.5 Energy Heat And Work
2.6 Measurement Error And Significant Digits Summary Problems

3. Mass Balance Equations
3.1 Introduction
3.2 Mass Balance In Macroscopic Systems
3.3 Mass Balance And Chemical Reactions
3.4 Solving Simple Differential Equations
3.5 Solving Differential Equations In Matlab And Python Summary Problems

4. Energy Balance In Macroscopic Systems
4.1 Introduction
4.2 Energy Balance In Macroscopic Systems
4.3 Energy Balance And Chemical Reaction Summary Problems

5. Material Balances At Steady State 5.1introduction
5.2 Material Balances At Steady State Without Chemical Reactions
5.3 Material Balances At Steady State With Chemical Reaction
5.4 Purge And Recycle
5.5 Solving Algebraic Equations In Matlab And Python Summary Problems

6. Simultaneous Material And Energy Balances At Steady State
6.1 Introduction 6.2 Stream Mixing
6.3 Continuous Stirred Tank Reactors
6.4 Plug Flow Reactors
6.5 Combustion Reactions Summary Problems

7. Calculating Properties Of Pure Components
7.1 Introduction
7.2 The Van Der Waals Eos
7.3 Solving The Van Der Waals Eos
7.4 Calculating Enthalpy With The Van Der Waals Eos
7.5 Definition And Calculation Of The Fugacity Coefficient
7.6 The Peng And Robinson Eos
7.7 Estimating The Properties Of Pure Components
7.8 Calculating Pure Component Properties In Matlab And Python Summary Problems

8. Vapour-Liquid Equilibria Calculations
8.1 Introduction
8.2 Ideal Mixtures At Low Pressures
8.3 Non-Ideal Mixtures At Low Pressures
8.4 Vle In Matlab And Python Summary Problems

9. Graphical Methods Of Design
9.1 Introduction
9.2 Graphical Methods For Reactor Design
9.3. Graphical Methods For Equilibrium Based Separations Summary Problems

10. Dimensional Analysis And Scale Up
10.1 Introduction
10.2 Basic Definitions
10.3 The Buckingham Theorem And Its Applications
10.4 Scale Up Summary Problems

11. Differential Balances
11.1 Introduction
11.2 Basic Form Of A Differential Balance
11.3 Differential Mass Balances
11.4 Differential Energy Balances
11.5 Solving Pdes In Matlab And Python Summary Problems

12. Solving Nonlinear Algebraic And Differential Equations
12.1 Introduction 12.2 Newtons Method For Nonlinear Equations
12.3 Solving Nonlinear Equations Using Decomposition Methods
12.4 Applications
12.5. Nonlinear Ordinary Differential Equation And Differential Algebraic Equations Summary Problems

13. Optimization Of Chemical Processes
13.1 Introduction
13.3 Optimality Conditions
13.4 Optimization Problems With Equality Constraints
13.5 Linear Programming
13.6 Parameter Estimation And Least Squares Summary Problems

14. Batch Processes
14.1 Introduction
14.2 Motivating Example
14.3 Design And Optimization Of Batch Processes Summary Problems

15. Phycrometry, Refrigeration And Power Production Cycles 15.1 Introduction
15.2 Phycrometry
15.3 Refrigeration Cycles
15.4 Power Production Cycles Summary Problems

16. Energy And Energy Production Systems
16.1 Introduction And Basic Definitions
16.2 Energy Conversion
16.3 Solid Fuels
16.4 Gas And Liquid Fuels
16.5 Electrical Energy Production From Fossil Fuels
16.6 Cogeneration Units
16.7 Renewable Energy Sources
16.8 Energy Storage
16.9 Hydrogen Economy

Introduction to Process Systems Engineering,

Editors: By Ioannis K. Kookos

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