Synthesis and Operability Strategies for Computer-Aided Modular Process Intensification

1st Edition - April 2, 2022
Imprint: Elsevier
Authors: Efstratios N Pistikopoulos, Yuhe Tian
Language: English
Paperback ISBN:
9 7 8 - 0 - 3 2 3 - 8 5 5 8 7 - 7
eBook ISBN:
9 7 8 - 0 - 3 2 3 - 8 9 8 0 5 - 8

Synthesis and Operability Strategies for Computer-Aided Modular Process intensification presents state-of-the-art methodological developments and real-world applications for compu… Read more

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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.

Cover image
Title page
Table of Contents
Copyright
Dedication
Authors' biographies
Preface
Topic 1: introduction on computer-aided modular process intensification
Topic 2: process intensification synthesis via a phenomena-based modular representation approach
Topic 3: model-based flexibility, inherent safety, and control analysis for modular process intensification systems
Topic 4: a systematic framework for the synthesis of operable process intensification systems
Part 1: Preliminaries
Part 2: Methodologies
Part 3: Case studies
Acknowledgments
Part 1: Preliminaries
1: Introduction to modular process intensification
Abstract
1.1. Introduction
1.2. Definitions and principles of modular process intensification
1.3. Modular process intensification technology showcases
References
2: Computer-aided modular process intensification: design, synthesis, and operability
Abstract
2.1. Conceptual synthesis and design
2.2. Operability, safety, and control analysis
2.3. Research challenges and key questions
References
Part 2: Methodologies
3: Phenomena-based synthesis representation for modular process intensification
Abstract
3.1. A prelude on phenomena-based PI synthesis
3.2. Generalized Modular Representation Framework
3.3. Driving force constraints
3.4. Key features of GMF synthesis
3.5. Motivating examples
References
4: Process synthesis, optimization, and intensification
Abstract
4.1. Problem statement
4.2. GMF synthesis model
4.3. Pseudo-capital cost estimation
4.4. Solution strategy
4.5. Motivating example: GMF synthesis representation and optimization of a binary distillation system
Nomenclature
References
5: Enhanced GMF for process synthesis, intensification, and heat integration
Abstract
5.1. GMF synthesis model with Orthogonal Collocation
5.2. GMF synthesis model with heat integration
5.3. Motivating example: GMF synthesis, intensification, and heat integration of a ternary separation system
References
6: Steady-state flexibility analysis
Abstract
6.1. Basic concepts
6.2. Problem definition
6.3. Solution algorithms
6.4. Design and synthesis of flexible processes
6.5. Tutorial example: flexibility analysis of heat exchanger network
References
7: Inherent safety analysis
Abstract
7.1. Dow Chemical Exposure Index
7.2. Dow Fire and Explosion Index
7.3. Safety Weighted Hazard Index
7.4. Quantitative risk assessment
References
8: Multi-parametric model predictive control
Abstract
8.1. Process control basics
8.2. Explicit model predictive control via multi-parametric programming
8.3. The PAROC framework
8.4. Case study: multi-parametric model predictive control of an extractive distillation column
References
9: Synthesis of operable process intensification systems
Abstract
9.1. Problem statement
9.2. A systematic framework for synthesis of operable process intensification systems
9.3. Steady-state synthesis with flexibility and safety considerations
9.4. Motivating example: heat exchanger network synthesis
References
Part 3: Case studies
10: Envelope of design solutions for intensified reaction/separation systems
Abstract
10.1. The Feinberg Decomposition
10.2. Case study: olefin metathesis
References
11: Process intensification synthesis of extractive separation systems with material selection
Abstract
11.1. Problem statement
11.2. Case study: ethanol-water separation
References
12: Process intensification synthesis of dividing wall column systems
Abstract
12.1. Case study: methyl methacrylate purification
12.2. Base case design and simulation analysis
12.3. Process intensification synthesis via GMF
References
13: Operability and control analysis in modular process intensification systems
Abstract
13.1. Loss of degrees of freedom
13.2. Role of process constraints
13.3. Numbering up vs. scaling up
13.4. Remarks
References
14: A framework for synthesis of operable and intensified reactive separation systems
Abstract
14.1. Process description
14.2. Synthesis of intensified and operable MTBE production systems
References
15: A software prototype for synthesis of operable process intensification systems
Abstract
15.1. The SYNOPSIS software prototype
15.2. Case study: pentene metathesis reaction
References
A: Process modeling, synthesis, and control of reactive distillation systems
A.1. Modeling of reactive distillation systems
A.2. Short-cut design of reactive distillation
A.3. Synthesis design of reactive distillation
A.4. Process control of reactive distillation
A.5. Software tools for modeling, simulation, and design of reactive distillation
References
B: Driving force constraints and physical and/or chemical equilibrium conditions
B.1. Pure separation systems
B.2. Reactive separation systems
B.3. Pure reaction systems
C: Reactive distillation dynamic modeling
C.1. Process structure
C.2. Tray modeling
C.3. Reboiler and condenser modeling
C.4. Physical properties
C.5. Initial conditions
C.6. Equipment cost correlations
References
D: Nonlinear optimization formulation of the Feinberg Decomposition approach
References
E: Degrees of freedom analysis and controller design in modular process intensification systems
E.1. Degrees of freedom analysis
E.2. Controller tuning for olefin metathesis case study
References
F: MTBE reactive distillation model validation and dynamic analysis
F.1. MTBE reactive distillation model validation with commercial Aspen simulator
F.2. Steady-state and dynamic analyses on the selection of manipulated variable for MTBE reactive distillation
References
Index

Efstratios N Pistikopoulos

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.

Affiliations and expertise

Texas A&M Energy Institute, Texas A&M University, College Station, Texas, United States Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, Texas, United States

Yuhe Tian

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.

Affiliations and expertise

Department of Chemical and Biomedical Engineering, West Virginia University, Morgantown, West Virginia, United States

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