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Titlebook: Optimization of Chemical Processes; A Sustainable Perspe José María Ponce-Ortega,Rogelio Ochoa-Barragán,Cés Textbook 2024 The Editor(s) (if

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發(fā)表于 2025-3-21 16:15:29 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Optimization of Chemical Processes
副標(biāo)題A Sustainable Perspe
編輯José María Ponce-Ortega,Rogelio Ochoa-Barragán,Cés
視頻videohttp://file.papertrans.cn/704/703271/703271.mp4
概述Provides a comprehensive overview of deterministic optimization.Includes real-world case studies, enriching theoretical understanding with practical applications.Demonstrates optimization techniques w
圖書封面Titlebook: Optimization of Chemical Processes; A Sustainable Perspe José María Ponce-Ortega,Rogelio Ochoa-Barragán,Cés Textbook 2024 The Editor(s) (if
描述.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..Contained in the book are many fundamental optimization concepts, encompassing linear programming, nonlinear programming, integer programming, and multi-objective optimization, all tailored to promote sustainable decision-making. Furthermore, the book provides practical examples illustrating the application of these techniques within sustainable chemical processes as tutorials..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, reader
出版日期Textbook 2024
關(guān)鍵詞Matlab; Python; Process Optimization; Chemical Engineering; Process Simulation; Linear Programming; Non-Li
版次1
doihttps://doi.org/10.1007/978-3-031-57270-8
isbn_softcover978-3-031-57272-2
isbn_ebook978-3-031-57270-8
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Unconstrained Optimization,uding those based on the first and second derivatives. Techniques for tackling unconstrained multivariable optimization problems are also explored. Several examples are presented and solved iteratively to demonstrate how these techniques work. Finally, the proposed examples are solved using differen
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Integer Programming,nd constraints. It explores how to model propositions and disjunctions using binary variables, reviews methods for solving integer optimization problems, presents practical examples of Mixed Integer Linear Programming (MILP) problems, and concludes with the implementation of these examples using com
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Optimal Synthesis of Heat Exchanger Networks,oaches for optimally integrating the energy of process streams are presented. Particularly, the transshipment model, the extended transshipment model, and the synheat and isosynheat formulations are discussed. Several examples are presented to show the applicability of these approaches. Furthermore,
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Optimal Synthesis of Eco-industrial Parks,symbiosis are presented. Then several optimization approaches for water integration into an eco-industrial park are presented. Then, some optimization formulations for the energy integration between different industrial processes are described. These approaches include direct recycling, exchanges be
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