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Dieses Buch basiert auf grundlegenden Techniken und jüngsten industriellen Erfahrungen und erörtert die zahlreichen Entwicklungen bei der Prozessintensivierung und -integration. Es konzentriert sich auf die Steigerung der Nachhaltigkeit über verschiedene übergreifende Themen wie nachhaltige Fertigung, energiesparende Technologien sowie Techniken zur Ressourcenschonung und Vermeidung von Umweltverschmutzung.
Process Intensification and Integration for Sustainable Design behandelt: Schiefergas als Option für die Herstellung von Chemikalien und Herausforderungen für die Prozessintensivierung; das Design und die technoökonomische Analyse von Trenneinheiten zur Bewältigung der Variabilität der Rohstoffe bei der Schiefergasbehandlung; RO-PRO Entsalzung; und technoökonomische und umweltbezogene Bewertung ultradünner Polysulfonmembranen für die sauerstoffangereicherte Verbrennung. Als nächstes wird die Prozessintensivierung membranbasierter Systeme für Wasser-, Energie- und Umweltanwendungen untersucht, sowie das Design einer intern wärmeintegrierten Destillationskolonne (HIDiC); und grafische Analyse und Integration von Wärmetauschernetzen mit Wärmepumpen. Die Zersetzung und Implementierung einer großflächigen Wärmeintegration zwischen Anlagen sowie die Synthese von Kraft-Wärme-Kopplungsnetzen (CHAMENs) mit erneuerbaren Energien werden behandelt. Das Buch behandelt auch Optimierungsstrategien zur Integration und Intensivierung von Wohnkomplexen; eine Bewertung des nachhaltigen Prozesses zur Umwandlung von Biomasse; und mehr.
Process Intensification and Integration for Sustainable Design ist ein ideales Buch für Verfahrenstechniker, Chemieingenieure, Ingenieurwissenschaftler, Ingenieurbüros und Chemiker.
Autorentext
Dominic Foo, PhD, is a Professor of Process Design and Integration at the University of Nottingham Malaysia Campus, and is the Founding Director for the Centre of Excellence for Green Technologies. He is also a Fellow of the Institution of Chemical Engineers (IChemE), a Chartered Engineer with the UK Engineering Council, and a Professional Engineer with the Board of Engineer Malaysia (BEM).
Mahmoud El-Halwagi, PhD, is the McFerrin Professor at Artie McFerrin Department of Chemical Engineering, Texas A&M University and the Managing Director of the Texas A&M Engineering Experiment Station's Gas and Fuel Research Center.
Zusammenfassung
Presents comprehensive coverage of process intensification and integration for sustainable design, along with fundamental techniques and experiences from the industry
Drawing from fundamental techniques and recent industrial experiences, this book discusses the many developments in process intensification and integration and focuses on increasing sustainability via several overarching topics such as Sustainable Manufacturing, Energy Saving Technologies, and Resource Conservation and Pollution Prevention Techniques.
Process Intensification and Integration for Sustainable Design starts discussions on: shale gas as an option for the production of chemicals and challenges for process intensification; the design and techno-economic analysis of separation units to handle feedstock variability in shale gas treatment; RO-PRO desalination; and techno-economic and environmental assessment of ultrathin polysulfone membranes for oxygen-enriched combustion. Next, it looks at process intensification of membrane-based systems for water, energy, and environment applications; the design of internally heat-integrated distillation column (HIDiC); and graphical analysis and integration of heat exchanger networks with heat pumps. Decomposition and implementation of large-scale interplant heat integration is covered, as is the synthesis of combined heat and mass exchange networks (CHAMENs) with renewables. The book also covers optimization strategies for integrating and intensifying housing complexes; a sustainable biomass conversion process assessment; and more.
Inhalt
Preface xv
1 Shale Gas as an Option for the Production of Chemicals and Challenges for Process Intensification **1
**Andrea P. Ortiz-Espinoza and Arturo Jiménez-Gutiérrez
1.1 Introduction 1
1.2 Where Is It Found? 1
1.3 Shale Gas Composition 3
1.4 Shale Gas Effect on Natural Gas Prices 3
1.5 Alternatives to Produce Chemicals from Shale Gas 4
1.6 Synthesis Gas 4
1.7 Methanol 5
1.8 Ethylene 6
1.9 Benzene 7
1.10 Propylene 7
1.11 Process Intensification Opportunities 8
1.12 Potential Benefits and Tradeoffs Associated with Process Intensification 10
1.13 Conclusions 11
References 11
2 Design and Techno-Economic Analysis of Separation Units to Handle Feedstock Variability in Shale Gas Treatment **15
**Eric Bohac, Debalina Sengupta, andMahmoud M. El-Halwagi
2.1 Introduction 15
2.2 Problem Statement 16
2.3 Methodology 17
2.4 Case Study 17
2.4.1 Data 18
2.4.2 Process Simulations and Economic Evaluation 19
2.4.2.1 Changes in Fixed and Variable Costs 20
2.4.2.2 Revenue 21
2.4.2.3 Economic Calculations 21
2.4.3 Safety Index Calculations 22
2.5 Discussion 23
2.5.1 Process Simulations 23
2.5.1.1 Dehydration Process 23
2.5.1.2 NGL Recovery Process 23
2.5.1.3 Fractionation Train 26
2.5.1.4 Acid Gas Removal 26
2.5.2 Profitability Assessment 26
2.5.3 High Acid Gas Case Economics 30
2.5.4 Safety Index Results 30
2.5.5 Sensitivity Analysis 32
2.5.5.1 Heating Value Cases 33
2.5.5.2 NGL Price Cases 34
2.6 Conclusions 35
Appendices 35
2.A Appendix A: Key Parameters for the Dehydration Process 36
2.B Appendix B: Key Parameters for the Turboexpander Process 36
2.C Appendix C: Key Parameters for the Fractionation Train 37
2.D Appendix D: Key Parameters for the Acid Gas Removal System 37
References 39
3 Sustainable Design and Model-Based Optimization of Hybrid ROPRO Desalination Process **43
**Zhibin Lu, Chang He, Bingjian Zhang, Qinglin Chen, and Ming Pan
3.1 Introduction 43
3.2 Unit Model Description and Hybrid Process Design 47
3.2.1 The Process Description 47
3.2.2 Unit Model and Performance Metrics 49
3.2.2.1 RO Unit Model 49
3.2.2.2 PRO Unit Model 52
3.2.3 The ROPRO Hybrid Processes 54
3.2.3.1 Open-Loop Configuration 54
3.2.3.2 Closed-Loop Configuration 55
3.3 Unified Model-Based Analysis and Optimization 56
3.3.1 Dimensionless Mathematical Modeling 56
3.3.2 Mathematical Model and Objectives 58
3.3.3 Optimization Results and Comparative Analysis 59
3.4 Conclusion 62
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