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.
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Ioannis K. Kookos is a Professor in the Department of Chemical Engineering at the University of Patras, with a Diploma from the National Technical University of Athens and advanced degrees from Imperial College, London. His research emphasizes the design, economic analysis, and optimization of renewable energy and platform chemical production systems. He has over 130 publications, authored five books in Greek, and two in English, with significant citation metrics. Kookos directs the “Design, Economic Analysis and Optimization” Laboratory and the Institute of Circular Economy, supervising numerous students and researchers. His teaching spans over 25 years, covering various chemical engineering courses.
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.
"About this title" may belong to another edition of this title.
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