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Understanding Batch Chemical Processes: Modelling and Case Studies

Autor Thokozani Majozi, Esmael R. Seid, Jui-Yuan Lee
en Limba Engleză Paperback – 10 dec 2019
Batch chemical processes, so often employed in the pharmaceutical and agrochemical fields, differ significantly from standard continuous operations in the emphasis upon time as a critical factor in their synthesis and design.


With this inclusive guide to batch chemical processes, the author introduces the reader to key aspects in mathematical modeling of batch processes and presents techniques to overcome the computational complexity in order to yield models that are solvable in near real-time. This book demonstrates how batch processes can be analyzed, synthesized, and designed optimally using proven mathematical formulations. The text effectively demonstrates how water and energy aspects can be incorporated within the scheduling framework that seeks to capture the essence of time. It presents real-life case studies where mathematical modeling of batch plants has been successfully applied.
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Specificații

ISBN-13: 9780367878634
ISBN-10: 0367878631
Pagini: 332
Dimensiuni: 156 x 234 mm
Greutate: 0.45 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press

Cuprins

Introduction to Batch Processes. Modelling for Effective Solutions: Reduction of Binary Variables. Methods to Reduce Computational Time: Prediction of Time Points. Integration of Scheduling and Heat Integration: Minimization of Energy Requirements. Heat Integration in Multipurpose Batch Plants. Design and Synthesis of Heat-Integrated Batch Plants Using an Effective Technique. Simultaneous Scheduling and Water Optimization: Reduction of Effluent in Batch Facilities. Optimization of Energy and Water Use in Multipurpose Batch Plants Using an Improved Mathematical Formulation. Targeting for Long-Term Time Horizons: Water Optimization. Long-Term Heat Integration in Multipurpose Batch Plants Using Heat Storage.

Notă biografică

Thokozani Majozi is a full professor in the School of Chemical and Metallurgical Engineering at Wits University where he also holds the NRF/DST Chair in Sustainable Process Engineering. His main research interest is batch chemical process integration, where he has made significant scientific contributions that have earned him international recognition. Some of these contributions have been adopted by industry. Prior to joining Wits, he spent almost 10 years at the University of Pretoria, initially as an associate professor and later as a full professor of chemical engineering. He was also an associate professor in computer science at the University of Pannonia in Hungary from 2005 to 2009. Majozi completed his PhD in Process Integration at the University of Manchester Institute of Science and Technology in the United Kingdom. He is a member of Academy of Sciences of South Africa and a Fellow for the Academy of Engineering of SA. He has received numerous awards for his research including the Burianec Memorial Award (Italy), S2A3 British Association Medal (Silver) and the South African Institution of Chemical Engineers Bill Neal-May Gold Medal. He is also twice a recipient of the NSTF Award and twice the recipient of the NRF President’s Award. Majozi is author and co-author of more than 150 scientific publications, including 2 books in Batch Chemical Process Integration published by Springer and CRC Press in 2010 and 2015, respectively.


Esmael Seid obtained his B.Sc. in Chemical Engineering from Bhair Dar University, Ethiopia. He then worked in process industry for three years after his B.Sc. before joining University of Pretoria, South Africa, in 2009, where he obtained his MScEng and PhD degrees in Chemical Engineering. Dr Seid has several publications in international refereed journals on design, synthesis, scheduling, and resource conservation, with particular emphasis on water and energy for multipurpose batch plants. He is currently a visiting

Recenzii

"Without a doubt, I would recommend this useful book to students and professionals alike who are interested in analysis, synthesis and design of batch processes because of the well-organized chapters, clear explanations, and industry-based case studies."
— Hongguang Dong, Dalian University of Technology, China
"This is a much needed and timely contribution that covers the fundamentals and applications of batch process modeling and design. The authors are very well recognized for excellent contributions in related areas. The book is ideal for educational purposes and for researchers and process engineers interested in the important field of batch processes."
— Mahmoud El-Halwagi, Texas A&M University, USA
"The book provides detailed discussion on mathematical modelling approaches for analyzing, synthesizing and design of batch processes. Heat and water integration of batch processes have been well presented in the book."
— Denny K. S. Ng, University of Nottingham, Malaysia
"The authors develop the key aspects of batch processes – modeling, scheduling, heat integration, and water optimization systematically. Each topic is covered in detail with excellent illustrations and case studies. This will provide a strong foundation to senior undergraduate and graduate students wishing to learn about batch systems."
— Rajagopalan Srinivasan, Indian Institute of Technology Gandhinagar, USA
"Taking in consideration that batch processes are often neglected in training of chemical engineers, especially from the perspective of process integration, this book is a valuable aid in knowledge transfer to the industry. The book is focused on mathematical methods giving an excellent review of their strengths and limitations with special attention on problem complexity which greatly contributes toward high computational cost, a major concern in industrial scale application. Detailed illustrative examples and industrial case studies presente

Descriere

The book introduces the reader to key aspects in mathematical modeling of batch processes and presents techniques to overcome the computational complexity in order to yield models that are solvable in near real-time. It demonstrates how batch processes can be analyzed, synthesized, and designed optimally using proven mathematical formulations. T