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E-raamat: Synthesis and Operability Strategies for Computer-Aided Modular Process Intensification

(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), (Department of Chemical and Biom)
  • Formaat: EPUB+DRM
  • Ilmumisaeg: 02-Apr-2022
  • Kirjastus: Elsevier - Health Sciences Division
  • Keel: eng
  • ISBN-13: 9780323898058
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Synthesis and Operability Strategies for Computer-Aided Modular Process IntensificationSuurem pilt
  • Formaat: EPUB+DRM
  • Ilmumisaeg: 02-Apr-2022
  • Kirjastus: Elsevier - Health Sciences Division
  • Keel: eng
  • ISBN-13: 9780323898058
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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.

  • 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
Authors' biographies xiii
Preface xv
Acknowledgments xxi
PART 1 Preliminaries
1 Introduction to modular process intensification
3(16)
1.1 Introduction
3(1)
1.2 Definitions and principles of modular process intensification
3(4)
1.3 Modular process intensification technology showcases
7(12)
References
16(3)
2 Computer-aided modular process intensification: design, synthesis, and operability
19(26)
2.1 Conceptual synthesis and design
20(9)
2.2 Operability, safety, and control analysis
29(6)
2.3 Research challenges and key questions
35(10)
References
37(8)
PART 2 Methodologies
3 Phenomena-based synthesis representation for modular process intensification
45(14)
3.1 A prelude on phenomena-based PI synthesis
45(2)
3.2 Generalized Modular Representation Framework
47(1)
3.3 Driving force constraints
48(4)
3.4 Key features of GMF synthesis
52(1)
3.5 Motivating examples
53(6)
References
57(2)
4 Process synthesis, optimization, and intensification
59(20)
4.1 Problem statement
59(1)
4.2 GMF synthesis model
60(8)
4.3 Pseudo-capital cost estimation
68(2)
4.4 Solution strategy
70(3)
4.5 Motivating example: GMF synthesis representation and optimization of a binary distillation system
73(6)
Nomenclature
76(1)
References
77(2)
5 Enhanced GMF for process synthesis, intensification, and heat integration
79(16)
5.1 GMF synthesis model with Orthogonal Collocation
79(3)
5.2 GMF synthesis model with heat integration
82(4)
5.3 Motivating example: GMF synthesis, intensification, and heat integration of a ternary separation system
86(9)
References
93(2)
6 Steady-state flexibility analysis
95(16)
6.1 Basic concepts
95(1)
6.2 Problem definition
95(3)
6.3 Solution algorithms
98(5)
6.4 Design and synthesis of flexible processes
103(2)
6.5 Tutorial example: flexibility analysis of heat exchanger network
105(6)
References
110(1)
7 Inherent safety analysis
111(12)
7.1 Dow Chemical Exposure Index
111(1)
7.2 Dow Fire and Explosion Index
112(3)
7.3 Safety Weighted Hazard Index
115(5)
7.4 Quantitative risk assessment
120(3)
References
122(1)
8 Multi-parametric model predictive control
123(24)
8.1 Process control basics
123(5)
8.2 Explicit model predictive control via multi-parametric programming
128(7)
8.3 The PAROC framework
135(4)
8.4 Case study: multi-parametric model predictive control of an extractive distillation column
139(8)
References
145(2)
9 Synthesis of operable process intensification systems
147(16)
9.1 Problem statement
147(1)
9.2 A systematic framework for synthesis of operable process intensification systems
148(2)
9.3 Steady-state synthesis with flexibility and safety considerations
150(7)
9.4 Motivating example: heat exchanger network synthesis
157(6)
References
160(3)
PART 3 Case studies
10 Envelope of design solutions for intensified reaction/separation systems
163(10)
10.1 The Feinberg Decomposition
164(1)
10.2 Case study: olefin metathesis
165(8)
References
172(1)
11 Process intensification synthesis of extractive separation systems with material selection
173(14)
11.1 Problem statement
173(1)
11.2 Case study: ethanol-water separation
174(13)
References
186(1)
12 Process intensification synthesis of dividing wall column systems
187(20)
12.1 Case study: methyl methacrylate purification
188(2)
12.2 Base case design and simulation analysis
190(3)
12.3 Process intensification synthesis via GMF
193(14)
References
206(1)
13 Operability and control analysis in modular process ntensification systems
207(16)
13.1 Loss of degrees of freedom
207(4)
13.2 Role of process constraints
211(5)
13.3 Numbering up vs. scaling up
216(3)
13.4 Remarks
219(4)
References
221(2)
14 A framework for synthesis of operable and intensified reactive separation systems
223(24)
14.1 Process description
223(4)
14.2 Synthesis of intensified and operable MTBE production systems
227(20)
References
246(1)
15 A software prototype for synthesis of operable process intensification systems
247(16)
15.1 The SYNOPSIS software prototype
247(2)
15.2 Case study: pentene metathesis reaction
249(14)
References
261(2)
A Process modeling, synthesis, and control of reactive distillation systems
263(8)
A.1 Modeling of reactive distillation systems
263(1)
A.2 Short-cut design of reactive distillation
264(1)
A.3 Synthesis design of reactive distillation
265(1)
A.4 Process control of reactive distillation
266(1)
A.5 Software tools for modeling, simulation, and design of reactive distillation
267(4)
References
268(3)
B Driving force constraints and physical and/or chemical equilibrium conditions
271(4)
B.1 Pure separation systems
271(1)
B.2 Reactive separation systems
272(1)
B.3 Pure reaction systems
272(3)
C Reactive distillation dynamic modeling
275(8)
C.1 Process structure
275(1)
C.2 Tray modeling
276(4)
C.3 Reboiler and condenser modeling
280(1)
C.4 Physical properties
280(1)
C.5 Initial conditions
280(1)
C.6 Equipment cost correlations
280(3)
References
281(2)
D Nonlinear optimization formulation of the Feinberg Decomposition approach
283(4)
References
285(2)
E Degrees of freedom analysis and controller design in modular process intensification systems
287(8)
E.1 Degrees of freedom analysis
287(4)
E.2 Controller tuning for olefin metathesis case study
291(4)
References
294(1)
F MTBE reactive distillation model validation and dynamic analysis
295(4)
F.1 MTBE reactive distillation model validation with commercial Aspen simulator
295(1)
F.2 Steady-state and dynamic analyses on the selection of manipulated variable for MTBE reactive distillation
295(4)
References
298(1)
Index 299
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 Bachelors 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.
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