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Optimization of Process Flowsheets through Metaheuristic Techniques de José María Ponce-Ortega

Optimization of Process Flowsheets through Metaheuristic Techniques

Autor José María Ponce-Ortega, Luis Germán Hernández-Pérez
en Limba Engleză Hardback – 30 iul 2018
This textbook presents a general multi-objective optimization framework for optimizing chemical processes by implementing a link between process simulators and metaheuristic techniques. The proposed approach is general and shows how to implement links between different process simulators such as Aspen Plus®, HYSIS®, Super Pro Designer® linked to a variety of metaheuristic techniques implemented in Matlab®, Excel®, C++, and others, eliminating the numerical complications through the optimization process. Furthermore, the proposed framework allows the use of thermodynamic, design and constitutive equations implemented in the process simulator to implement any process.
Aimed at graduate and undergraduate students, it presents introductory chapters for process simulators and metaheuristic optimization techniques and provides several worked exercises as well as proposed exercises. In addition, accompanying tutorial videos clearly explaining the implemented methodologies are available online. Also, some Matlab® routines are included as electronic supporting material.
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Specificații

ISBN-13: 9783319917214
ISBN-10: 3319917218
Pagini: 132
Ilustrații: XVII, 110 p. 92 illus., 53 illus. in color.
Dimensiuni: 160 x 241 x 13 mm
Greutate: 0.32 kg
Ediția:1st ed. 2019
Editura: Springer
Locul publicării:Cham, Switzerland

Cuprins

Chapter 1- Introduction.- Chapter 2- Process simulators.- Chapter 3- Metaheuristic optimization programs.- Chapter 4- interlinking between process simulators and optimization programs.- Chapter 5- Performance evaluation.- Chapter 6- Optimization of industrial process 1.- Chapter 7- Optimization of industrial process 2.- Chapter 8- Bibliography.- Appendix.

Notă biografică

Alma Yunuen Raya-Tapia, PhD student in chemical engineering at the Universidad Michoacana de San Nicolás de Hidalgo. She obtained in 2021 the title of Master of Science in chemical engineering with honors. She has worked in the area of materials synthesis, photocatalysis, dye degradation and wastewater treatment. She is currently working on the strategic planning of the water, energy and food nexus, the application of machine learning techniques and the simulation and optimization of energy systems. She has published 10 scientific articles and 7 presentations at international and national conferences. Francisco Javier López-Flores, He received his Master's and Ph.D. degrees from the Chemical Engineering Department at the Universidad Michoacana de San Nicolás de Hidalgo in Mexico in 2021 and 2025, respectively. His research interests focus on machine learning, process optimization, energy integration, and planning strategies. To date, he has published 15 scientific articles, contributed to 2 book chapters, and presented his research at 20 national and international conferences. César Ramírez-Márquez , Postdoctoral Fellow at the Chemical Engineering Department, Universidad Michoacana de San Nicolás de Hidalgo, Mexico. He received his PhD degree from the University of Guanajuato (Mexico) in 2020. Currently published contributions focus on the production of materials for the solar energy industry and base chemicals in the chemical industry. He has published more than 60 journal papers, and 10 book chapters, has presented his work at more than 18 international/regional conferences, and has registered 4 patents. José María Ponce-Ortega, Professor at the Chemical Engineering Department, Universidad Michoacana de San Nicolás de Hidalgo, Mexico. He obtained his Ph.D. and Master degrees in Chemical Engineering from the Institute of Technology of Celaya in Mexico in 2009 and 2003, respectively. He stayed as a postdoctoral researcher at Texas A&M University, USA, and as a visiting scholar at Carnegie Mellon University, USA. Dr. Ponce-Ortega is a full professor at the Universidad Michoacana de San Nicolás de Hidalgo, and he is a member of the National Research System of Mexico. The research interest of Dr. Ponce-Ortega is in the areas of optimization of chemical processes, sustainable design, energy, mass, water and property integration, and supply chain optimization. Dr. Ponce-Ortega has published over 320 papers, 7 books, and 50 book chapters. He also has supervised 30 Ph.D. and 45 master's students. He also has 15 funded research projects for about $US 1,000,000.00. Dr. Ponce-Ortega is a member of the editorial board of the journals Clean Technologies and Environmental Policy, Process Integration and Optimization for Sustainability, and Industrial and Engineering Chemistry Research. He is also a subject editor in the journal Sustainable Production and Consumption.

Textul de pe ultima copertă

This textbook presents a general multi-objective optimization framework for optimizing chemical processes by implementing a link between process simulators and metaheuristic techniques. The proposed approach is general and shows how to implement links between different process simulators such as Aspen Plus®, HYSIS®, Super Pro Designer® linked to a variety of metaheuristic techniques implemented in Matlab®, Excel®, C++, and others, eliminating the numerical complications through the optimization process. Furthermore, the proposed framework allows the use of thermodynamic, design and constitutive equations implemented in the process simulator to implement any process.
Aimed at graduate and undergraduate students, it presents introductory chapters for process simulators and metaheuristic optimization techniques and provides several worked exercises as well as proposed exercises. In addition, accompanying tutorial videos clearly explaining the implemented methodologies are available online. Also, some Matlab® routines are included as electronic supporting material.

Caracteristici

Provides a general methodology for optimizing process flowsheets through external links with metaheuristic algorithms Explains, step by step and with screenshots, how to link process simulators with optimization using metaheuristic techniques Provides tutorial videos and several examples for practice Illustrates the use of most popular process simulator software to implement the methodology