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Inspired by the CPSE at Imperial College London, the leading authority in the field, this seven-volume set will be the definitive reference for years to come. It covers the entire field -- from manufacturing industries, molecular and nanoscale phenomena to enterprise-wide optimization and control.
The series presents theoretical advances and developments, computational challenges and tools as well as applications in process systems engineering, with particular emphasis placed on novel theoretical algorithms and methodologies for modeling, optimization and control. Real-life applications from the chemical, energy, pharmaceutical, biomedical and related sectors are included to illustrate the applicability and potential benefits of the integrated approach. The aim is also to highlight the importance of fundamental research in developing mechanisms for the transfer of this new technology to industry.
Volume 1: Multi-parametric programming - Theory, algorithms and applications
Volume 2: Multi-parametric model-based control - Theory and applications
Volume 3: Supply-chain optimization - Part I
Volume 4: Supply-chain optimization - Part II
Volume 5: Energy systems engineering
Volume 6: Molecular systems engineering
Volume 7: Dynamic process modeling
The result is a single source of vital information, collating the widely dispersed articles in specialized journals, for academics and researchers carrying out PSE research, industrial practitioners involved in the design, operation and optimization of new and existing processes and products, policymakers, as well as for educational purposes both in academia and industry.
List of contents
VOLUME 1
MULTI-PARAMETRIC PROGRAMMING - THEORY, ALGORITHMS AND APPLICATIONS
VOLUME 2
MULTI-PARAMETRIC MODEL-BASED CONTROL - THEORY AND APPLICATIONS
VOLUME 3
SUPPLY-CHAIN OPTIMIZATION - PART I
VOLUME 4
SUPPLY-CHAIN OPTIMIZATION - PART II
VOLUME 5
ENERGY SYSTEMS ENGINEERING
VOLUME 6
MOLECULAR SYSTEMS ENGINEERING
VOLUME 7
DYNAMIC PROCESS MODELLING
About the author
Efstratios N. Pistikopoulos is a Professor of Chemical Engineering at Imperial College London and Director of its Centre for Process Systems Engineering (CPSE). He graduated in Chemical Engineering from Aristotle University of Thessaloniki, Greece and gained a PhD from Carnegie Mellon University, USA. He has authored/ co-authored over 200 publications, holds editorial positions on several editorial boards and has been involved in over 50 major research projects and contracts. Prof. Pistikopoulos is co-founder and Director of two successful spin-off companies stemming from his research at Imperial, Process Systems Enterprise (PSE) Limited and Parametric Optimization Solutions (PAROS) Limited and consults widely to numerous process industry companies.
Michael C. Georgiadis is Associate Professor in the Department of Engineering Informatics and Telecommunications at University of Western Macedonia, Greece and honorary research fellow in the Centre for Process Systems Engineering at Imperial College London. He was manager of academic business development for Process Systems Enterprise Ltd. He obtained his Chemical Engineering Diploma from Aristotle University of Thessaloniki, Greece and an MSc and PhD From Imperial College London. Dr. Georgiadis has authored over 55 papers and two books. He has a long experience in the management and participation of more than 20 collaborative research contracts and projects and consults to Process Systems Enterprise Ltd and Parametric Optimization Solutions Ltd.
Vivek Dua is a Lecturer in the Department of Chemical Engineering at University College London. He holds a degree in Chemical Engineering from Panjab University, Chandigarh, India and MTech in chemical engineering from the Indian Institute of Technology, Kanpur. He joined Kinetics Technology India Ltd. as a Process Engineer before moving to Imperial College London, where he obtained his PhD in Chemical Engineering. He was an Assistant Professor in the Department of Chemical Engineering at Indian Institute of Technology, Delhi before joining University College London. He is a co-founder of Parametric Optimization Solutions (PAROS) Ltd.
Process Systems Enterprise (PSE), provider of the gPROMS advanced process simulation and modelling environment, is the 2007 winner of the Royal Academy of Engineering's MacRobert Award. The award, the UK's most prestigious for engineering, recognises the successful development of innovative ideas. The PSE team was presented with the MacRobert gold medal by HRH Prince Philip.
Summary
Inspired by the CPSE at Imperial College London, the leading authority in the field, this seven-volume set will be the definitive reference for years to come. It covers the entire field -- from manufacturing industries, molecular and nanoscale phenomena to enterprise-wide optimization and control.
The series presents theoretical advances and developments, computational challenges and tools as well as applications in process systems engineering, with particular emphasis placed on novel theoretical algorithms and methodologies for modeling, optimization and control. Real-life applications from the chemical, energy, pharmaceutical, biomedical and related sectors are included to illustrate the applicability and potential benefits of the integrated approach. The aim is also to highlight the importance of fundamental research in developing mechanisms for the transfer of this new technology to industry.
Volume 1: Multi-parametric programming - Theory, algorithms and applications
Volume 2: Multi-parametric model-based control - Theory and applications
Volume 3: Supply-chain optimization - Part I
Volume 4: Supply-chain optimization - Part II
Volume 5: Energy systems engineering
Volume 6: Molecular systems engineering
Volume 7: Dynamic process modeling
The result is a single source of vital information, collating the widely dispersed articles in specialized journals, for academics and researchers carrying out PSE research, industrial practitioners involved in the design, operation and optimization of new and existing processes and products, policymakers, as well as for educational purposes both in academia and industry.
