<p><span>This book discusses the P-graph framework for developing and understanding effective design tools for process systems engineering, and addresses the current state of its theory and applications. The book details the new philosophy of the axioms-based mathematical modelling of processing sys
P-graphs for Process Systems Engineering
β Scribed by Ferenc Friedler; Γkos Orosz; Jean Pimentel Losada
- Publisher
- Springer
- Year
- 2022
- Tongue
- English
- Leaves
- 263
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
This book discusses the P-graph framework for developing and understanding effective design tools for process systems engineering, and addresses the current state of its theory and applications. The book details the new philosophy of the axioms-based mathematical modelling of processing systems, the basic algorithms, areas of application, future directions, and the proofs of theorems and algorithms. Because of the rigorous foundation of the theory, the framework provides a firm basis for future research in mathematical modelling, optimization, and design of complex engineering systems. The various P-graph applications discussed include process network synthesis, reliability engineering, and systems resilience. The framework opens new avenues for research in complex systems including redundant operations for critical infrastructure, systems sustainability, and modelling tools for disaster engineering. Demonstration software is provided to facilitate the understanding of the theory. The book will be of interest to institutions, companies, and individuals performing research and R&D in process systems engineering.
About the authors
Professor Ferenc Friedler graduated in mathematics in 1977, received CSc degree (1990) and Doctor of Science degree (1995) in process systems engineering. His main research activity is related to the developments of effective methods for the design and operation of complex engineering systems. Together with late Professor L.T. Fan, he is a co-founder of the P-graph framework that provides a theoretical basis for modelling a wide range of applications in process systems engineering. Supervised more than one hundred national and international R&D projects. Founder, chair, and co-chair of international scientific conferences and founder of academic organizations including university department, doctoral school, and faculty. He was the rector of University of Pannonia in Hungary from 2011 to 2015. Currently, he is a professor and scientific director at the Research Center of Vehicle Industry, SzΓ©chenyi IstvΓ‘n University, GyΕr, Hungary. Honored with several awards including Knight's Cross Order of Merit of Hungary, 2003; Polinszky Prize, 2006; John von Neumann Prize, 2007; Leo Szilard Professorship, 2008; Dennis Gabor Prize, 2008; SzΓ©chenyi Prize, 2010; Bolyai Memorial Award, 2010; Egervary Memorial Award, 2010; Honorary doctorate, National Technical University Kharkiv, 2012.
Γkos Orosz received MSc degree at the University of Pannonia in computer science in 2015. During the studies, he specialized in computer programming, especially in optimization algorithms. He started the PhD studies in 2015 in the field of processing systems synthesis with the P-graph-based reliability assessment of processes. The research topics widened later, expanding to the synthesis of heat exchanger networks and water treatment networks, together with other novel applications of the P-graph framework. He became an assistant lecturer at the University of Pannonia in 2018.
Jean Pimentel Losada, PhD student in the program of Chemical-Bio-and Environmental Engineering at the Budapest University of Technology and Economics (BME). His career as chemical engineer has focused on the synthesis, optimization, and control of chemical and biochemical processes. Received his MSc in chemical engineering from the National University of Colombia in 2020. Currently works in the research, optimization, and analysis of relevant industrial problems. He has performed key tasks in the field of process systems engineering (PSE), such as the algorithmic synthesis of processes by means of the P-graph framework, the modelling of reaction kinetic laws, the determination of parameters for thermodynamical models, the optimization of operations, and the modelling and simulation of units and process networks.
β¦ Table of Contents
Preface
Acknowledgments
Contents
Notation
Part I: Foundation of the P-graph FrameworkP-graph framework
Chapter 1: Basic Concepts of Automatic Process Design
The Elements of the P-graph Framework
References
Chapter 2: Representation of Process Structures in Process Network Synthesis: P-graphs
References
Chapter 3: Structural Model of Process Network Synthesis
References
Chapter 4: Algorithmic Generation of the Maximal Structure
References
Chapter 5: Algorithmic Generation of all Solution-Structures
Decision-mapping
References
Chapter 6: Accelerated Branch-and-Bound Algorithm of Process Network Synthesis
Recursive Accelerated Branch-and-Bound Algorithm
Neutral Extension
Example of Bounding
References
Part II: Applications of the P-graph FrameworkP-graph framework
Chapter 7: Literature Review on Research and Applications
Industrial Applications: PNS, Integration, and Improvement
Supply Chain, Logistics, and Production Scheduling
Sustainability Assessment and Circular Economy
Reliability, Resilience, and Risk Assessment
Non-conventional Applications
Extensions of the Model and Software Implementation
Novel Directions
References
Chapter 8: Case Study: Synthesis of a Production Process for Adipic Acid
Process Network Synthesis by Resorting to the P-graph Framework
Synthesis of a Process for Production of Adipic Acid
Selection of Reaction
Specification of Materials and Selection of Operating Units
Reaction Units
Bleacher Unit
Compressor
Absorption Units
Membrane
Flash Separator and Concentrators
Crystallizers
Operations for Solids Recovery
Catalyst Recovery
Auxiliary Units
Selection of Mathematical Models and Solution Approaches
Selection by Algorithm ABB with LP or NLP Bounding
Selection by the Integration of Algorithm SSG and Simulation Program
Evaluation of the Flowsheets
Results of the Selection by Algorithm ABB
Results of the Selection by Algorithm SSG Integrated with Simulation Program
Concluding Remarks
References
Chapter 9: Enumeration-Based Properties of Processing Systems: Reliability and Resilience
Reliability in Process Network Synthesis
The Extended PNS Model for Reliability Analysis
Synthesis Algorithms for Reliability Analysis
Procedure for Determining the Reliability of a Processing System
Redundancy Stategies for Processing Systems
Resilience in PNS
References
Part III: Theory and Formal Proofs
Chapter 10: Formal Proof of Algorithm MSG
Algorithm for Maximal Structure Generation (Algorithm MSG)
Reduction
Composition
Proof of Algorithm
Reference
Chapter 11: Simplification of the Maximal Structure
Procedure of Merging Reduction [1]
Reference
Chapter 12: Formal Proof of Algorithm SSG
Structure Generation Algorithm
References
Chapter 13: Formal Proof of Algorithm ABB
The Formal Descriptions of Branch-and-Bound Algorithms
Branch-and-Bound Algorithm
Illustration by PNSw Problem
Branching rules for the general PNS
Accerelated Branch-and-Bound Algorithm
Reference
Chapter 14: Refined B&B Procedure
Reduction of the Sizes of the Partial Problems
Construction of the Greatest Feasible Solution Extension [1]
Reduction
Composition
Proof of the Alogrithm
Illustration of Bounding for PNSw
Refined Bounding Procedure
Accelerated Branch-and-Bound Algorithm with Refined Bounding Function (ABB-RB)
References
Chapter 15: A Look Ahead B&B Procedure for PNSw
Look Ahead B&B Algorithm [1]
Reference
Appendix I: Mathematical Basics
Depth-First Search Procedure
Big O Notation
Appendix II: Step-by-Step Illustration of Algorithm SSG
Appendix III: Demonstration Software
P-Graph Insight´´ SoftwareP-Graph Studio´´ Software
Epilogue
Index
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