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Submit a ProposalModeling in Membranes and Membrane-Based Processes
 | Edited by Anirban Roy, Siddhartha Moulik,
Reddi Kamesh, and Aditi Mullick Series: Advances in Membrane Processes Copyright: 2020 | Status: Published ISBN: 9781119536062 | Hardcover | 387 pages Price: $225 USD  |
One Line Description
This latest volume in the new "Advances in Membrane Processes" series from Wiley-Scrivener contains the most comprehensive and up-to-date coverage of modeling in membranes and membrane-based processes, a "one stop shop" on the subject.
Audience
Chemical engineers, chemists, environmental engineers, process engineers, and other professionals working in membrane separations, effluent treatment, and wastewater treatment
Chemical engineers, chemists, environmental engineers, process engineers, and other professionals working in membrane separations, effluent treatment, and wastewater treatment
Description
The book Modeling in Membranes and Membrane-Based Processes is based on the idea of developing a reference which will cover most relevant and “state-of-the-art” approaches in membrane modeling. This book explores almost every major aspect of modeling and the techniques applied in membrane separation studies and applications. This includes first principle-based models, thermodynamics models, computational fluid dynamics simulations, molecular dynamics simulations, and artificial intelligence-based modeling for membrane separation processes. These models have been discussed in light of various applications ranging from desalination to gas separation.
In addition, this breakthrough new volume covers the fundamentals of polymer membrane pore formation mechanisms, covering not only a wide range of modeling techniques, but also has various facets of membrane-based applications. Thus, this book can be an excellent source for a holistic perspective on membranes in general, as well as a comprehensive and valuable reference work.
Whether a veteran engineer in the field or lab or a student in chemical or process engineering, this latest volume in the “Advances in Membrane Processes” is a must-have, along with the first book in the series, Membrane Processes, also available from Wiley-Scrivener.
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The book Modeling in Membranes and Membrane-Based Processes is based on the idea of developing a reference which will cover most relevant and “state-of-the-art” approaches in membrane modeling. This book explores almost every major aspect of modeling and the techniques applied in membrane separation studies and applications. This includes first principle-based models, thermodynamics models, computational fluid dynamics simulations, molecular dynamics simulations, and artificial intelligence-based modeling for membrane separation processes. These models have been discussed in light of various applications ranging from desalination to gas separation.
In addition, this breakthrough new volume covers the fundamentals of polymer membrane pore formation mechanisms, covering not only a wide range of modeling techniques, but also has various facets of membrane-based applications. Thus, this book can be an excellent source for a holistic perspective on membranes in general, as well as a comprehensive and valuable reference work.
Whether a veteran engineer in the field or lab or a student in chemical or process engineering, this latest volume in the “Advances in Membrane Processes” is a must-have, along with the first book in the series, Membrane Processes, also available from Wiley-Scrivener.
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Supplementary Data
--Offers insights into various sectors of membrane technology
--Is a comprehensive guide for modeling approaches for membrane separations
--Is a reference on modeling in membranes for any chemical engineer
• Would be the perfect textbook for any university or industry course on membranes and membrane technology
--Offers insights into various sectors of membrane technology
--Is a comprehensive guide for modeling approaches for membrane separations
--Is a reference on modeling in membranes for any chemical engineer
• Would be the perfect textbook for any university or industry course on membranes and membrane technology
Author / Editor Details
Anirban Roy, PhD, is an Assistant Professor in the Department of Chemical Engineering at BITS Pilani Goa campus. He designs processes for water treatment for applications like industrial wastewater and greywater and has a startup through which he develops membrane-based technologies for both water as well as for biomedical device applications. He has published 14 articles in journals of international repute, filed five patents, and published a book on hemodialysis.
Anirban Roy, PhD, is an Assistant Professor in the Department of Chemical Engineering at BITS Pilani Goa campus. He designs processes for water treatment for applications like industrial wastewater and greywater and has a startup through which he develops membrane-based technologies for both water as well as for biomedical device applications. He has published 14 articles in journals of international repute, filed five patents, and published a book on hemodialysis.
Siddhartha Moulik, PhD, is currently working in and has experience across multiple areas, including chemical engineering, biomass, water management, and others. He has been associated with various industrial sponsored projects for organizations such as TATA Steel, Dr. Reddy's Laboratories, and Tata Chemicals Ltd. He has published 16 articles in international scientific journals, filed one patent, published one book, Membrane Processes, also available from Wiley-Scrivener, and ten book chapters. He is also the recipient of 12 prestigious awards.
Reddi Kamesh, PhD, is a scientist with the Process Engineering and Technology Transfer Dept., CSIR-IICT, Hyderabad, India. He has authored one book chapter and over 40 papers in peer-reviewed international and national journals and proceedings of international and national conferences. He has been the recipient of the Ambuja Young Researchers Award from Indian Institute of Chemical Engineers (IIChE).
Aditi Mullick, PhD, did her dissertation in wastewater engineering, and her area of research includes the application of novel and sustainable environment friendly routes for water treatment related to organic and inorganic pollutant degradation. She has published seven articles in journals of international repute, filed one patent, published one book. She is also the recipient of five prestigious national awards and fellowship.
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Table of Contents
Introduction to Modeling and Simulation for the Design
of Membrane Processes 1
Anirban Roy, Aditi Mullick and Siddhartha Moulik
Bibliography 4
2 Thermodynamics of Casting Solution in Membrane Synthesis 7
Shubham Lanjewar, Anupam Mukherjee, Lubna Rehman,
Amira Abdelrasoul and Anirban Roy
2.1 Introduction 8
2.2 Liquid Mixture Theories 9
2.2.1 Theories of Lattices 9
2.2.1.1 The Flory-Huggins Theory 9
2.2.1.2 The Equation of State Theory 10
2.2.1.3 The Gas-Lattice Theory 11
2.2.2 Non-Lattice Theories 11
2.2.2.1 The Strong Interaction Model 11
2.2.2.2 The Heat of Mixing Approach 11
2.2.2.3 The Solubility Parameter Approach 12
2.2.3 The Flory -- Huggins Model 13
2.3 Solubility Parameter and Its Application 16
2.3.1 Scatchard-Hildebrand Theory 16
2.3.1.1 The Regular Solution Model 16
2.3.1.2 Application of Hildebrand Equation
to Regular Solutions 17
2.3.2 Solubility Scales 18
2.3.3 Role of Molecular Interactions 19
2.3.3.1 Types of Intermolecular Forces 19
2.3.4 Intermolecular Forces: Effect on Solubility 21
2.3.5 Interrelation Between Heat of Vaporization
and Solubility Parameter 22
2.3.6 Measuring Units of Solubility Parameter 23
2.4 Dilute Solution Viscometry 24
2.4.1 Types of Viscosities 25
2.4.2 Viscosity Determination and Analysis 26
2.5 Ternary Composition Triangle 30
2.5.1 Typical Ternary Phase Diagram 31
2.5.2 Binodal Line 32
2.5.2.1 Non-Solvent/Solvent Interaction 34
2.5.2.2 Non-Solvent/Polymer Interaction 34
2.5.2.3 Solvent/Polymer Interaction 35
2.5.3 Spinodal Line 35
2.5.4 Critical Point 35
2.5.5 Thermodynamic Boundaries and Phase Diagram 36
2.6 Conclusion 38
2.7 Acknowledgment 38
List of Abbreviations and Symbols 38
Greek Symbols 40
References 40
3 Computational Fluid Dynamics (CFD) Modeling
in Membrane-Based Desalination Technologies 45
Pelin Yazgan-Birgi, Mohamed I. Hassan Ali
and Hassan A. Arafat
3.1 Desalination Technologies and Modeling Tools 46
3.1.1 Desalination Technologies 46
3.1.2 Tools in Desalination Processes Modeling 47
3.1.3 CFD Modeling Tool in Desalination Processes 53
3.2 General Principles of CFD Modeling
in Desalination Processes 54
3.2.1 Reverse Osmosis (RO) Technology 59
3.2.2 Forward Osmosis (FO) Technology 63
3.2.3 Membrane Distillation (MD) Technology 66
3.2.4 Electrodialysis and Electrodialysis Reversal
(ED/EDR) Technologies 71
3.3 Application of CFD Modeling in Desalination 75
3.3.1 Applications in Reverse Osmosis (RO) Technology 75
3.3.2 Applications in Forward Osmosis (FO) Technology 93
3.3.3 Applications in Membrane Distillation (MD)
Technology 106
3.3.4 Applications in Electrodialysis and Electrodialysis
Reversal (ED/EDR) Technologies 119
3.4 Commercial Software Used in Desalination
Process Modeling 120
Conclusion 130
References 131
4 Role of Thermodynamics and Membrane Separations
in Water-Energy Nexus 143
Anupam Mukherjee, Shubham Lanjewar, Ridhish Kumar,
Arijit Chakraborty, Amira Abdelrasoul and Anirban Roy
4.1 Introduction: 1st and 2nd Laws of Thermodynamics 144
4.2 Thermodynamic Properties 146
4.2.1 Measured Properties 146
4.2.2 Fundamental Properties 147
4.2.3 Derived Properties 147
4.2.4 Gibbs Energy 147
4.2.5 1st and 2nd Law for Open Systems 150
4.3 Minimum Energy of Separation Calculation:
A Thermodynamic Approach 151
4.3.1 Non-Idealities in Electrolyte Solutions 152
4.3.2 Solution Thermodynamics 152
4.3.2.1 Solvent 153
4.3.2.2 Solute 153
4.3.2.3 Electrolyte 154
4.3.3 Models for Evaluating Properties 155
4.3.3.1 Evaluation of Activity Coefficients Using
Electrolyte Models 155
4.3.4 Generalized Least Work of Separation 157
4.3.4.1 Derivation 158
4.4 Desalination and Related Energetics 162
4.4.1 Evaporation Techniques 164
4.4.2 Membrane-Based New Technologies 165
4.5 Forward Osmosis for Water Treatment:
Thermodynamic Modelling 171
4.5.1.1 Osmosis 171
4.5.1.2 Draw Solutions 174
4.5.2 Concentration Polarization in Osmotic Process 175
4.5.2.1 External Concentration Polarization 175
4.5.2.2 Internal Concentration Polarization 175
4.5.3 Forward Osmosis Membranes 177
4.5.4 Modern Applications of Forward Osmosis 178
4.5.4.1 Wastewater Treatment
and Water Purification 178
4.5.4.2 Concentrating Dilute Industrial Wastewater 178
4.5.4.3 Concentration of Landfill Leachate 179
4.5.4.4 Concentrating Sludge Liquids 179
4.5.4.5 Hydration Bags 180
4.5.4.6 Water Reuse in Space Missions 180
4.6 Pressure Retarded Osmosis for Power Generation:
A Thermodynamic Analysis 181
4.6.1 What Is Pressure Retarded Osmosis? 181
4.6.2 Pressure Retarded Osmosis for Power Generation 183
4.6.3 Mixing Thermodynamics 184
4.6.3.1 Gibbs Energy of Solutions 184
4.6.3.2 Gibbs Free Energy of Mixing 185
4.6.4 Thermodynamics of Pressure Retarded Osmosis 186
4.6.5 Role of Membranes in Pressure Retarded Osmosis 188
4.6.6 Future Prospects of Pressure Retarded Osmosis 189
4.7 Conclusion 190
4.8 Acknowledgment 190
Nomenclature 190
1. Roman Symbols 190
2. Greek Symbols 191
3. Subscripts 192
4. Superscripts 192
5. Acronyms 192
References 193
5 Modeling and Simulation for Membrane Gas
Separation Processes 197
Samaneh Bandehali, Hamidreza Sanaeepur,
Abtin Ebadi Amooghin and Abdolreza Moghadassi
Abbreviations 197
Nomenclatures 198
Subscipts 199
5.1 Introduction 199
5.2 Industrial Applications of Membrane Gas Separation 201
5.2.1 Air Separation or Production of Oxygen
and Nitrogen 201
5.2.2 Hydrogen Recovery 202
5.2.3 Carbon Dioxide Removal from Natural Gas
and Syn Gas Purification 206
5.3 Modeling in Membrane Gas Separation Processes 206
5.3.1 Mathematical Modeling for Membrane Separation
of a Gas Mixture 206
5.3.2 Modeling in Acid Gas Separation 214
5.4 Process Simulation 217
5.4.1 Gas Treatment Modeling in Aspen HYSYS 218
5.5 Modeling of Gas Separation by Hollow-Fiber Membranes 221
5.6 CFD Simulation 223
5.6.1 Hollow Fiber Membrane Contactors (HFMCs) 223
5.7 Conclusions 224
References 225
6 Gas Transport through Mixed Matrix Membranes (MMMs):
Fundamentals and Modeling 233
Rizwan Nasir, Hafiz Abdul Mannan, Danial Qadir,
Hilmi Mukhtar, Dzeti Farhah Mohshim
and Aymn Abdulrahman
6.1 History of Membrane Technology 233
6.2 Separation Mechanisms for Gases through Membranes 234
6.3 Overview of Mixed Matrix Membranes 238
6.3.1 Material and Synthesis of Mixed Matrix Membrane 238
6.3.2 Performance Analysis of Mixed Matrix Membranes 238
6.4 MMMs Performance Prediction Models 239
6.4.1 New Approaches for Performance Prediction
of MMMs 242
6.5 Future Trends and Conclusions 242
6.6 Acknowledgment 249
References 249
7 Application of Molecular Dynamics Simulation
to Study the Transport Properties of Carbon
Nanotubes-Based Membranes 253
Maryam AhmadzadehTofighy and Toraj Mohammadi
7.1 Introduction 254
7.2 Carbon Nanotubes (CNTs) 255
7.3 CNTs Membranes 259
7.4 MD Simulations of CNTs and CNTs Membranes 261
7.5 Conclusions 267
References 268
8 Modeling of Sorption Behaviour of Water-Ethylene Glycol
Mixture in a PVA/PES Composite Membrane Using
Flory-Huggins Equations 273
Haresh K Dave and Kaushik Nath
8.1 Introduction 274
8.2 Materials and Method 277
8.2.1 Chemicals 277
8.2.2 Preparation and Cross-Linking of Membrane 277
8.2.3 Determination of Membrane Density 277
8.2.4 Sorption of Pure Ethylene Glycol and Water
in the Membrane 278
8.2.5 Sorption of Binary Solution in the Membrane 278
8.2.6 Model for Pure Solvent in PVA/PES Membrane
Using F-H Equation 279
8.2.7 Model for Binary EG-Water Sorption
Using F-H Equation 281
8.3 Results and Discussion 285
8.3.1 Sorption in the PVA-PES Membrane 285
8.3.2 Determination of F-H Parameters Between Water
and Ethylene Glycol (Xw−EG) 286
8.3.3 Determination of F-H Parameters for Solvent
and Membrane (Çwm and ÇEGm) 288
8.3.4 Modeling of Sorption Behaviour Using
F-H Parameters 289
8.4 Conclusions 292
Nomenclature 293
Greek Letters 294
Acknowledgement 294
References 294
9 Artificial Intelligence Model for Forecasting
of Membrane Fouling in Wastewater Treatment
by Membrane Technology 297
Khac-Uan Do and Félix Schmitt
9.1 Introduction 298
9.1.1 Membrane Filtration in Wastewater Treatment 298
9.1.2 Membrane Fouling in Membrane Bioreactors
and its Control 298
9.1.3 Models for Membrane Fouling Control 300
9.1.4 Objectives of the Study 301
9.2 Materials and Methods 301
9.2.1 AO-MBR System 301
9.2.2 The AI Modeling in this Study 301
9.2.3 Analysis Methods 303
9.3 Results and Discussion 304
9.3.1 Membrane Fouling Prediction Based on AI Model 304
9.3.2 Discussion on Using AI Model to Predict
Membrane Fouling 312
9.4 Conclusion 316
Acknowledgements 317
References 317
Index
Back to Top
Introduction to Modeling and Simulation for the Design
of Membrane Processes 1
Anirban Roy, Aditi Mullick and Siddhartha Moulik
Bibliography 4
2 Thermodynamics of Casting Solution in Membrane Synthesis 7
Shubham Lanjewar, Anupam Mukherjee, Lubna Rehman,
Amira Abdelrasoul and Anirban Roy
2.1 Introduction 8
2.2 Liquid Mixture Theories 9
2.2.1 Theories of Lattices 9
2.2.1.1 The Flory-Huggins Theory 9
2.2.1.2 The Equation of State Theory 10
2.2.1.3 The Gas-Lattice Theory 11
2.2.2 Non-Lattice Theories 11
2.2.2.1 The Strong Interaction Model 11
2.2.2.2 The Heat of Mixing Approach 11
2.2.2.3 The Solubility Parameter Approach 12
2.2.3 The Flory -- Huggins Model 13
2.3 Solubility Parameter and Its Application 16
2.3.1 Scatchard-Hildebrand Theory 16
2.3.1.1 The Regular Solution Model 16
2.3.1.2 Application of Hildebrand Equation
to Regular Solutions 17
2.3.2 Solubility Scales 18
2.3.3 Role of Molecular Interactions 19
2.3.3.1 Types of Intermolecular Forces 19
2.3.4 Intermolecular Forces: Effect on Solubility 21
2.3.5 Interrelation Between Heat of Vaporization
and Solubility Parameter 22
2.3.6 Measuring Units of Solubility Parameter 23
2.4 Dilute Solution Viscometry 24
2.4.1 Types of Viscosities 25
2.4.2 Viscosity Determination and Analysis 26
2.5 Ternary Composition Triangle 30
2.5.1 Typical Ternary Phase Diagram 31
2.5.2 Binodal Line 32
2.5.2.1 Non-Solvent/Solvent Interaction 34
2.5.2.2 Non-Solvent/Polymer Interaction 34
2.5.2.3 Solvent/Polymer Interaction 35
2.5.3 Spinodal Line 35
2.5.4 Critical Point 35
2.5.5 Thermodynamic Boundaries and Phase Diagram 36
2.6 Conclusion 38
2.7 Acknowledgment 38
List of Abbreviations and Symbols 38
Greek Symbols 40
References 40
3 Computational Fluid Dynamics (CFD) Modeling
in Membrane-Based Desalination Technologies 45
Pelin Yazgan-Birgi, Mohamed I. Hassan Ali
and Hassan A. Arafat
3.1 Desalination Technologies and Modeling Tools 46
3.1.1 Desalination Technologies 46
3.1.2 Tools in Desalination Processes Modeling 47
3.1.3 CFD Modeling Tool in Desalination Processes 53
3.2 General Principles of CFD Modeling
in Desalination Processes 54
3.2.1 Reverse Osmosis (RO) Technology 59
3.2.2 Forward Osmosis (FO) Technology 63
3.2.3 Membrane Distillation (MD) Technology 66
3.2.4 Electrodialysis and Electrodialysis Reversal
(ED/EDR) Technologies 71
3.3 Application of CFD Modeling in Desalination 75
3.3.1 Applications in Reverse Osmosis (RO) Technology 75
3.3.2 Applications in Forward Osmosis (FO) Technology 93
3.3.3 Applications in Membrane Distillation (MD)
Technology 106
3.3.4 Applications in Electrodialysis and Electrodialysis
Reversal (ED/EDR) Technologies 119
3.4 Commercial Software Used in Desalination
Process Modeling 120
Conclusion 130
References 131
4 Role of Thermodynamics and Membrane Separations
in Water-Energy Nexus 143
Anupam Mukherjee, Shubham Lanjewar, Ridhish Kumar,
Arijit Chakraborty, Amira Abdelrasoul and Anirban Roy
4.1 Introduction: 1st and 2nd Laws of Thermodynamics 144
4.2 Thermodynamic Properties 146
4.2.1 Measured Properties 146
4.2.2 Fundamental Properties 147
4.2.3 Derived Properties 147
4.2.4 Gibbs Energy 147
4.2.5 1st and 2nd Law for Open Systems 150
4.3 Minimum Energy of Separation Calculation:
A Thermodynamic Approach 151
4.3.1 Non-Idealities in Electrolyte Solutions 152
4.3.2 Solution Thermodynamics 152
4.3.2.1 Solvent 153
4.3.2.2 Solute 153
4.3.2.3 Electrolyte 154
4.3.3 Models for Evaluating Properties 155
4.3.3.1 Evaluation of Activity Coefficients Using
Electrolyte Models 155
4.3.4 Generalized Least Work of Separation 157
4.3.4.1 Derivation 158
4.4 Desalination and Related Energetics 162
4.4.1 Evaporation Techniques 164
4.4.2 Membrane-Based New Technologies 165
4.5 Forward Osmosis for Water Treatment:
Thermodynamic Modelling 171
4.5.1.1 Osmosis 171
4.5.1.2 Draw Solutions 174
4.5.2 Concentration Polarization in Osmotic Process 175
4.5.2.1 External Concentration Polarization 175
4.5.2.2 Internal Concentration Polarization 175
4.5.3 Forward Osmosis Membranes 177
4.5.4 Modern Applications of Forward Osmosis 178
4.5.4.1 Wastewater Treatment
and Water Purification 178
4.5.4.2 Concentrating Dilute Industrial Wastewater 178
4.5.4.3 Concentration of Landfill Leachate 179
4.5.4.4 Concentrating Sludge Liquids 179
4.5.4.5 Hydration Bags 180
4.5.4.6 Water Reuse in Space Missions 180
4.6 Pressure Retarded Osmosis for Power Generation:
A Thermodynamic Analysis 181
4.6.1 What Is Pressure Retarded Osmosis? 181
4.6.2 Pressure Retarded Osmosis for Power Generation 183
4.6.3 Mixing Thermodynamics 184
4.6.3.1 Gibbs Energy of Solutions 184
4.6.3.2 Gibbs Free Energy of Mixing 185
4.6.4 Thermodynamics of Pressure Retarded Osmosis 186
4.6.5 Role of Membranes in Pressure Retarded Osmosis 188
4.6.6 Future Prospects of Pressure Retarded Osmosis 189
4.7 Conclusion 190
4.8 Acknowledgment 190
Nomenclature 190
1. Roman Symbols 190
2. Greek Symbols 191
3. Subscripts 192
4. Superscripts 192
5. Acronyms 192
References 193
5 Modeling and Simulation for Membrane Gas
Separation Processes 197
Samaneh Bandehali, Hamidreza Sanaeepur,
Abtin Ebadi Amooghin and Abdolreza Moghadassi
Abbreviations 197
Nomenclatures 198
Subscipts 199
5.1 Introduction 199
5.2 Industrial Applications of Membrane Gas Separation 201
5.2.1 Air Separation or Production of Oxygen
and Nitrogen 201
5.2.2 Hydrogen Recovery 202
5.2.3 Carbon Dioxide Removal from Natural Gas
and Syn Gas Purification 206
5.3 Modeling in Membrane Gas Separation Processes 206
5.3.1 Mathematical Modeling for Membrane Separation
of a Gas Mixture 206
5.3.2 Modeling in Acid Gas Separation 214
5.4 Process Simulation 217
5.4.1 Gas Treatment Modeling in Aspen HYSYS 218
5.5 Modeling of Gas Separation by Hollow-Fiber Membranes 221
5.6 CFD Simulation 223
5.6.1 Hollow Fiber Membrane Contactors (HFMCs) 223
5.7 Conclusions 224
References 225
6 Gas Transport through Mixed Matrix Membranes (MMMs):
Fundamentals and Modeling 233
Rizwan Nasir, Hafiz Abdul Mannan, Danial Qadir,
Hilmi Mukhtar, Dzeti Farhah Mohshim
and Aymn Abdulrahman
6.1 History of Membrane Technology 233
6.2 Separation Mechanisms for Gases through Membranes 234
6.3 Overview of Mixed Matrix Membranes 238
6.3.1 Material and Synthesis of Mixed Matrix Membrane 238
6.3.2 Performance Analysis of Mixed Matrix Membranes 238
6.4 MMMs Performance Prediction Models 239
6.4.1 New Approaches for Performance Prediction
of MMMs 242
6.5 Future Trends and Conclusions 242
6.6 Acknowledgment 249
References 249
7 Application of Molecular Dynamics Simulation
to Study the Transport Properties of Carbon
Nanotubes-Based Membranes 253
Maryam AhmadzadehTofighy and Toraj Mohammadi
7.1 Introduction 254
7.2 Carbon Nanotubes (CNTs) 255
7.3 CNTs Membranes 259
7.4 MD Simulations of CNTs and CNTs Membranes 261
7.5 Conclusions 267
References 268
8 Modeling of Sorption Behaviour of Water-Ethylene Glycol
Mixture in a PVA/PES Composite Membrane Using
Flory-Huggins Equations 273
Haresh K Dave and Kaushik Nath
8.1 Introduction 274
8.2 Materials and Method 277
8.2.1 Chemicals 277
8.2.2 Preparation and Cross-Linking of Membrane 277
8.2.3 Determination of Membrane Density 277
8.2.4 Sorption of Pure Ethylene Glycol and Water
in the Membrane 278
8.2.5 Sorption of Binary Solution in the Membrane 278
8.2.6 Model for Pure Solvent in PVA/PES Membrane
Using F-H Equation 279
8.2.7 Model for Binary EG-Water Sorption
Using F-H Equation 281
8.3 Results and Discussion 285
8.3.1 Sorption in the PVA-PES Membrane 285
8.3.2 Determination of F-H Parameters Between Water
and Ethylene Glycol (Xw−EG) 286
8.3.3 Determination of F-H Parameters for Solvent
and Membrane (Çwm and ÇEGm) 288
8.3.4 Modeling of Sorption Behaviour Using
F-H Parameters 289
8.4 Conclusions 292
Nomenclature 293
Greek Letters 294
Acknowledgement 294
References 294
9 Artificial Intelligence Model for Forecasting
of Membrane Fouling in Wastewater Treatment
by Membrane Technology 297
Khac-Uan Do and Félix Schmitt
9.1 Introduction 298
9.1.1 Membrane Filtration in Wastewater Treatment 298
9.1.2 Membrane Fouling in Membrane Bioreactors
and its Control 298
9.1.3 Models for Membrane Fouling Control 300
9.1.4 Objectives of the Study 301
9.2 Materials and Methods 301
9.2.1 AO-MBR System 301
9.2.2 The AI Modeling in this Study 301
9.2.3 Analysis Methods 303
9.3 Results and Discussion 304
9.3.1 Membrane Fouling Prediction Based on AI Model 304
9.3.2 Discussion on Using AI Model to Predict
Membrane Fouling 312
9.4 Conclusion 316
Acknowledgements 317
References 317
Index
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BISAC SUBJECT HEADINGS
TEC009010 : TECHNOLOGY & ENGINEERING / Chemical & Biochemical
SCI013060 : SCIENCE / Chemistry / Industrial & Technical
BUS070040 : BUSINESS & ECONOMICS / Industries / Energy
BIC CODES
TDCB: Chemical engineering
THX: Alternative & renewable energy sources & technology
TQSW: Water supply & treatment
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