Optimization of Chemical Processes
A Sustainable Perspective
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44 374 Ft
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Product details:
- Edition number 2024
- Publisher Springer Nature Switzerland
- Date of Publication 3 May 2024
- Number of Volumes 1 pieces, Book
- ISBN 9783031572692
- Binding Hardback
- No. of pages489 pages
- Size 235x155 mm
- Language English
- Illustrations XV, 489 p. 257 illus., 220 illus. in color. Illustrations, black & white 550
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Long description:
This textbook introduces readers to a comprehensive framework for the application of deterministic optimization strategies in the field of chemical processes, with a strong emphasis on sustainability.
The book establishes a vital connection between fundamental deterministic optimization principles, optimization tools, and real-world application instances, all within the context of environmentally responsible practices. The approach put forth in this book is exceptionally versatile, allowing for the use of many optimization software and deterministic techniques.
The textbook also explores the utilization of popular optimization software platforms such as GAMS, MATLAB, and Python, demonstrating how these tools can be leveraged for eco-friendly process optimization. Through this comprehensive framework, readers can not only acquire the skills needed to optimize a wide range of processes but also learn how to do so with sustainability at the forefront of their considerations. This approach streamlines the optimization process, eliminating unnecessary complications along the way and ensuring that environmental and ethical considerations are integral to the decision-making process.
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Table of Contents:
Introduction.- Unconstrained Optimization.- Linear Programming.- Non Linear Programming.- Integer Programming.- Multi-objective Optimization.- Optimization Under Uncertainty.- Optimal Synthesis of Water Networks.- Heat Exchanger Networks.- Eco-Industrial Parks.- Software: Tools for Optimization.- Optimization using the General Algebraic Modeling System (GAMS).- Optimization using the software MATLAB.- Optimization using the software Phyton with spyder.
