Overview
Part of the book series: Synthesis Lectures on Engineering, Science, and Technology (SLEST)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (6 chapters)
About this book
This book presents a comprehensive optimization-based theory and framework that exploits the synergistic interactions and tradeoffs between process design and operational decisions that span different time scales. Conventional methods in the process industry often isolate decision making mechanisms with a hierarchical information flow to achieve tractable problems, risking suboptimal, even infeasible operations. In this book, foundations of a systematic model-based strategy for simultaneous process design, scheduling, and control optimization is detailed to achieve reduced cost and improved energy consumption in process systems. The material covered in this book is well suited for the use of industrial practitioners, academics, and researchers.
In Chapter 1, a historical perspective on the milestones in model-based design optimization techniques is presented along with an overview of the state-of-the-art mathematical tools to solve the resulting complex problems. Chapters 2 and 3 discuss two fundamental concepts that are essential for the reader. These concepts are (i) mixed integer dynamic optimization problems and two algorithms to solve this class of optimization problems, and (ii) developing a model based multiparametric programming model predictive control. These tools are used to systematically evaluate the tradeoffs between different time-scale decisions based on a single high-fidelity model, as demonstrated on (i) design and control, (ii) scheduling and control, and (iii) design, scheduling, and control problems. We present illustrative examples on chemical processing units, including continuous stirred tank reactors, distillation columns, and combined heat and power regeneration units, along with discussions of other relevant work in the literature for each class of problems.
Authors and Affiliations
About the authors
Professor Efstratios N. Pistikopoulos is the Director of the Texas A&M Energy Institute and a TEES Eminent 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 modeling, control and optimization of process, energy and systems engineering applications, 15 books, and 3 patents. He is a co-founder of Process Systems Enterprise (PSE) Ltd, a Fellow of AIChE and IChemE, a past Chair of the Computing and Systems Technology (CAST) Division of AIChE, and the current 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, the recipient of the Computing in Chemical Engineering Award of CAST/AIChE; in 2020, he was awarded the Sargent Medal from the Institution of Chemical Engineers (IChemE). He received the title of Doctor Honoris Causa from the University Politehnica of Bucharest in 2014, and from the University of Pannonia in 2015. In 2013, he was elected Fellow of the Royal Academy of Engineering in the UK.
Bibliographic Information
Book Title: Integrated Process Design and Operational Optimization via Multiparametric Programming
Authors: Baris Burnak, Nikolaos A. Diangelakis, Efstratios N. Pistikopoulos
Series Title: Synthesis Lectures on Engineering, Science, and Technology
DOI: https://doi.org/10.1007/978-3-031-02089-6
Publisher: Springer Cham
eBook Packages: Synthesis Collection of Technology (R0), eBColl Synthesis Collection 10
Copyright Information: Springer Nature Switzerland AG 2020
Softcover ISBN: 978-3-031-00961-7Published: 04 September 2020
eBook ISBN: 978-3-031-02089-6Published: 01 June 2022
Series ISSN: 2690-0300
Series E-ISSN: 2690-0327
Edition Number: 1
Number of Pages: XV, 242
Topics: Engineering Design, Materials Engineering, Professional & Vocational Education