Synthesis and Operability Strategies for Computer-Aided Modular Process intensification presents state-of-the-art methodological developments and real-world applications for computer-aided process modeling, optimization and control, with a particular interest on process intensification systems. Each chapter consists of basic principles, model formulation, solution algorithm, and step-by-step implementation guidance on key procedures. Sections cover an overview on the current status of process intensification technologies, including challenges and opportunities, detail process synthesis, design and optimization, the operation of intensified processes under uncertainty, and the integration of design, operability and control.
Advanced operability analysis, inherent safety analysis, and model-based control strategies developed in the community of process systems engineering are also introduced to assess process operational performance at the early design stage.
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Professor Efstratios N. Pistikopoulos is the Director of the Texas A&M Energy Institute and the Dow Chemical Chair Professor in the Artie McFerrin Department of Chemical Engineering at Texas A&M University. He was a Professor of Chemical Engineering at Imperial College London, UK (1991-2015) and the Director of its Centre for Process Systems Engineering (2002-2009). He holds a Ph.D. degree from Carnegie Mellon University and he worked with Shell Chemicals in Amsterdam before joining Imperial. He has authored or co-authored over 500 major research publications in the areas of modelling, control and optimization of process, energy and systems engineering applications, 15 books and 3 patents. He is a Fellow of IChemE and AIChE, and the Editor-in-Chief of Computers & Chemical Engineering. In 2007, Prof. Pistikopoulos was a co-recipient of the prestigious MacRobert Award from the Royal Academy of Engineering. In 2012, he was the recipient of the Computing in Chemical Engineering Award of CAST/AIChE, while in 2020 he received the Sargent Medal from the Institution of Chemical Engineers (IChemE). He is a member of the Academy of Medicine, Engineering and Science of Texas. In 2021, he received the AIChE Sustainable Engineering Forum Research Award. He received the title of Doctor Honoris Causa in 2014 from the University Politehnica of Bucharest, and from the University of Pannonia in 2015. In 2013, he was elected Fellow of the Royal Academy of Engineering in the United Kingdom.
Dr. Yuhe Tian is Assistant Professor in the Department of Chemical and Biomedical Engineering at West Virginia University. Prior to joining WVU, she received her Ph.D. degree in Chemical Engineering from Texas A&M University under the supervision of Prof. Efstratios N. Pistikopoulos (2016-2021). She holds Bachelor’s degrees in Chemical Engineering and Applied Mathematics from Tsinghua University, China (2012-2016). Her research focuses on the development and application of multi-scale systems engineering tools for modular process intensification, clean energy innovation, systems integration, and sustainable supply chain optimization.
Computer-Aided Process Intensification presents state-of-the-art methodological developments and real-world applications for computer-aided process modelling, optimization, and control, with particular interest in process intensification systems. Each chapter on a certain methodology/application topic consists of the corresponding basic principles, model formulation, solution algorithm, and step-by-step implementation guidance on key procedures. The book is thus self-contained to enable the readers to learn and apply the techniques to their research/industrial problems of interest. More specifically, Part I presents an overview on the current status of process intensification technologies. Challenges and opportunities are identified on how computer-aided methods and tools can benefit the development and deployment of these innovative process solutions. Part II details the process synthesis, design, and optimization of intensified systems, emphasizing mathematical programming-based model formulations to enable systematic generation of process alternatives. Using the Generalized Modular Representation Framework as a representative methodology in this category, three types of design problems are discussed in particular interest: (i) process optimization and intensification, (ii) process synthesis, intensification, and heat integration, and (iii) simultaneously synthesis, intensification with material selection. Part III focuses on the operation of intensified processes under uncertainty. Advanced operability analysis, inherent safety analysis, and model-based control strategies developed in the community of Process Systems Engineering are introduced to assess the process operational performance at the early design stage. The integration of design and operability/control is highlighted, for which a systematic framework and software prototype development is demonstrated to deliver intensified process solutions at cost optimality with desired operational flexibility. Part IV features a collection of real-world applications using the above introduced methods and tools. These include: reactive distillation, extractive distillation with advanced materials, industrial divided wall column, reactive separation, etc. Improved performance targets are showcased on cost savings, energy savings, operational performance, sustainability, etc.
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