Download Numerical Methods in Chemical Process Engineering Using Python 2026
Numerical Methods in Chemical Process Engineering Using Python: Tools for Modeling, Simulation, and Optimization book pdf download. This book offers a practical introduction to numerical methods commonly applied in chemical process engineering, presenting the techniques in a structured progression from fundamental concepts to more advanced computational approaches. It introduces the mathematical tools needed to analyze and solve engineering problems involving complex chemical systems.
The first part explores numerical linear algebra for large equation systems, nonlinear equations for equilibrium and reaction-kinetics models, and ordinary differential equations for both initial- and boundary-value problems. It then moves to partial differential equations, highlighting their importance in modeling heat, mass, and momentum transfer as well as processes that vary across both space and time.
The second part focuses on practical problem solving through a collection of fully worked examples supported by Python code and illustrative figures. Topics include parameter estimation, confidence intervals, bioreactor optimization, and the analysis of steady-state and dynamic systems. Each problem connects mathematical formulation, computational implementation, and interpretation of results, making the book a useful resource for students and researchers developing practical skills in numerical chemical process engineering.
- Author (s): Hector Jorquera, Claudio A. Gelmi
- Year of publication: 2026
- Publisher: Springer
- Language: English
- ISBN: 303222957X, 9783032229571, 9783032229588
- Number of pages: 270 pages
- Book format: PDF
- File size: 14 MB
