Understanding Batch Chemical Processes

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

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.