Current Trends and Future Developments on (Bio-) Membranes: Techniques of Computational Fluid Dynamic (Cfd) for Development of Membrane Technology

ISBN 10: 0128222948 / ISBN 13: 9780128222942

Published by Elsevier Science, 2021

About this Item

Includes developments of membrane technologies in different applications by using CFD tools Describes CFD methods for evaluation and optimization of membrane process performance Indicates CFD method advantages over other modeling .

Seller Inventory # 408050895

Bibliographic Details

• Title: Current Trends and Future Developments on (Bio-) Membranes: Techniques of Computational Fluid Dynamic (Cfd) for Development of Membrane Technology
• Publisher: Elsevier Science
• Publication Date: 2021
• Language: English
• ISBN 10: 0128222948
• ISBN 13: 9780128222942
• Binding: Soft cover
• Condition: New

About this title

Synopsis

Current Trends and Future Developments on (Bio-) Membranes: Techniques of Computational Fluid Dynamic (CFD) for Development of Membrane Technology provides updates on new progress in membrane processes due to various challenges and how many industrial companies and academic centers are carrying out these processes.  Chapters help readers understand techniques of computational fluid dynamic (CFD) for the development of membrane technology, including an introduction to the technologies, their applications, and the advantages/disadvantages of CFD modeling of various membrane processes. In addition, the book compares these modeling methods with other traditional separation systems and covers fouling and concentration polarization problems.

The book is a key reference for R&D managers interested in the development of membrane technologies as well as academic researchers and postgraduate students working in the wider areas of strategic treatments, separation and purification processes.

• Includes developments of membrane technologies in different applications by using CFD tools
• Describes CFD methods for evaluation and optimization of membrane process performance
• Indicates CFD method advantages over other modeling strategies for the analysis of membrane/membrane reactor processes

About the Authors

Angelo Basile is a Full Professor and a leading authority in membrane science and technology. Since 2014, he has served as Full Professor in Systems, Methods and Technologies of Chemical Engineering Processes at CNR-ITM in Rende, Italy. His work covers hydrogen purification and production using membrane reactors, CO₂ capture, process intensification, and the treatment of industrial effluents with advanced membrane operations. Basile has edited many scientific books and authored numerous book chapters, bridging complex research with clear knowledge for engineers and scientists. Motivated by the role of AI/ML in accelerating membrane process design and automation, he supports integrating data-driven methods for smart plants and reaction–separation optimisation.

Kamran Ghasemzadeh is currently working as a senior research associate at the chemical engineering department, University of Manchester, UK since August 2022. At the same time, he has served as an associate professor in the chemical engineering department at Urmia University of Technology, Iran, wherein he developed research on membranes/membrane reactors for many processes.

Kamran Ghasemzadeh’s h-index = 21, with 126 document results in a total of 1135 citations in the areas: Energy, Chemical Engineering, Environmental Science, and membrane technologies, (www.scopus.com – March 30/2023). He has more than 50 papers published in national/international congresses; and is a reviewer for 70 int. journals, an editor/author of more than 10 scientific books, and 45 chapters on int. books on membrane science and technology. Today Ghasemzadeh is collaborating with the Dept. of chem. Eng. at the University of Manchester (UK) on the valorisation of biomass by-products. He participated in various national and international projects on membrane reactors and membrane science. In the last years, he was the supervisor/co-supervisor of more than 38 Thesis for Master and Ph.D. students. Ghasemzadeh served as Director of the UUT research center during the period Sep. 2018 – April 2022.