Synthesis and Operability Strategies for Computer-aided Modular Process Intensification
Language: English
Published by Elsevier, 2022
- Softcover
- Used

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- Title
- Synthesis and Operability Strategies for Computer-aided Modular Process Intensification
- Author
- Pistikopoulos, Stratos; Tian, Yuhe
- Publisher
- Elsevier
- Publication year
- 2022
- Condition
- As New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 0323855873
- ISBN 13
- 9780323855877
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.
- Includes a survey of recent advances in modeling, optimization and control of process intensification systems
- Presents a modular synthesis approach for process design, integration and material selection in intensified process systems
- Provides advanced process operability, inherent safety tactics, and model-based control analysis approaches for the evaluation of process operational performance at the conceptual design stage
- Highlights a systematic framework for multiscale process design intensification integrated with operability and control
- Includes real-word application examples on intensified reaction and/or separation systems with targeted cost, energy and sustainability improvements
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About the Author
Efstratios N. Pistikopoulos is a distinguished chemical engineer and academic leader, currently serving as Director of the Texas A&M Energy Institute and holding the Dow Chemical Chair Professorship in the Artie McFerrin Department of Chemical Engineering at Texas A&M University. He holds a PhD in Chemical Engineering from Carnegie Mellon University in the USA. He has been working at Shell Chemicals in Amsterdam. He has served as Professor of Chemical Engineering at Imperial College London, directing the Centre for Process Systems Engineering. His research focuses on process systems engineering, particularly multi-parametric programming, model predictive control, and integrated frameworks for designing, optimizing, and scheduling complex systems with applications in energy, manufacturing, and biomedical engineering.
Dr. Pistikopoulos is the lead developer of the PAROC framework and has authored hundreds of publications and several books. Professor Pistikopoulos is a Fellow of the Royal Academy of Engineering, IChemE, and AIChE, and has received numerous honors, including the AIChE Computing in Chemical Engineering Award, the IChemE Sargent Medal, and the Royal Academy of Engineering's MacRobert Award. He also serves as Editor-in-Chief of Computers & Chemical Engineering, underscoring his global leadership in advancing process systems engineering.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 (2016-2021). She holds Bachelor’s degrees in Chemical Engineering and 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, sustainable energy systems, advanced control and real-time decision-making.
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