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Modeling in Membranes and Membrane-Based Processes [Kõva köide]

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  • Formaat: Hardback, 416 pages, kõrgus x laius x paksus: 10x10x10 mm, kaal: 454 g
  • Ilmumisaeg: 02-Jun-2020
  • Kirjastus: Wiley-Scrivener
  • ISBN-10: 1119536065
  • ISBN-13: 9781119536062
Teised raamatud teemal:
Modeling in Membranes and Membrane-Based ProcessesSuurem pilt
  • Formaat: Hardback, 416 pages, kõrgus x laius x paksus: 10x10x10 mm, kaal: 454 g
  • Ilmumisaeg: 02-Jun-2020
  • Kirjastus: Wiley-Scrivener
  • ISBN-10: 1119536065
  • ISBN-13: 9781119536062
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9781119536062.html
Märksõnad:

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. 

Acknowledgement xiii
1 Introduction: Modeling and Simulation for Membrane Processes
1(8)
Anirban Roy
Aditi Mullick
Anupatn Mukherjee
Siddhartha Moulik
References
6(3)
2 Thermodynamics of Casting Solution in Membrane Synthesis
9(38)
Shubham Lanjewar
Anupam Mukherjee
Lubna Rehman
Atnira Abdelrasoul
Anirban Roy
2.1 Introduction
10(1)
2.2 Liquid Mixture Theories
11(7)
2.2.1 Theories of Lattices
11(1)
2.2.1.1 The Flory-Huggins Theory
11(1)
2.2.1.2 The Equation of State Theory
12(1)
2.2.1.3 The Gas-Lattice Theory
13(1)
2.2.2 Non-Lattice Theories
13(1)
2.2.2.1 The Strong Interaction Model
13(1)
2.2.2.2 The Heat of Mixing Approach
13(1)
2.2.2.3 The Solubility Parameter Approach
14(1)
2.2.3 The Flory-Huggins Model
15(3)
2.3 Solubility Parameter and Its Application
18(8)
2.3.1 Scatchard-Hildebrand Theory
18(1)
2.3.1.1 The Regular Solution Model
18(1)
2.3.1.2 Application of Hildebrand Equation to Regular Solutions
19(1)
2.3.2 Solubility Scales
20(1)
2.3.3 Role of Molecular Interactions
21(1)
2.3.3.1 Types of Intermolecular Forces
21(2)
2.3.4 Intermolecular Forces: Effect on Solubility
23(1)
2.3.5 Interrelation Between Heat of Vaporization and Solubility Parameter
24(1)
2.3.6 Measuring Units of Solubility Parameter
25(1)
2.4 Dilute Solution Viscometry
26(6)
2.4.1 Types of Viscosities
27(1)
2.4.2 Viscosity Determination and Analysis
28(4)
2.5 Ternary Composition Triangle
32(8)
2.5.1 Typical Ternary Phase Diagram
33(1)
2.5.2 Binodal Line
34(2)
2.5.2.1 Non-Solvent/Solvent Interaction
36(1)
2.5.2.2 Non-Solvent/Polymer Interaction
36(1)
2.5.2.3 Solvent/Polymer Interaction
36(1)
2.5.3 Spinodal Line
36(1)
2.5.4 Critical Point
37(1)
2.5.5 Thermodynamic Boundaries and Phase Diagram
38(2)
2.6 Conclusion
40(1)
2.7 Acknowledgment
40(1)
List of Abbreviations and Symbols
40(2)
Greek Symbols
42(1)
References
42(5)
3 Computational Fluid Dynamics (CFD) Modeling in Membrane-Based Desalination Technologies
47(98)
Pelin Yazgan-Birgi
Mohamed I. Hassan Ali
Hassan A. Arafat
3.1 Desalination Technologies and Modeling Tools
48(8)
3.1.1 Desalination Technologies
48(1)
3.1.2 Tools in Desalination Processes Modeling
49(6)
3.1.3 CFD Modeling Tool in Desalination Processes
55(1)
3.2 General Principles of CFD Modeling in Desalination Processes
56(21)
3.2.1 Reverse Osmosis (RO) Technology
61(4)
3.2.2 Forward Osmosis (FO) Technology
65(3)
3.2.3 Membrane Distillation (MD) Technology
68(5)
3.2.4 Electrodialysis and Electrodialysis Reversal (ED/EDR) Technologies
73(4)
3.3 Application of CFD Modeling in Desalination
77(45)
3.3.1 Applications in Reverse Osmosis (RO) Technology
77(18)
3.3.2 Applications in Forward Osmosis (FO) Technology
95(13)
3.3.3 Applications in Membrane Distillation (MD) Technology
108(13)
3.3.4 Applications in Electrodialysis and Electrodialysis Reversal (ED/EDR) Technologies
121(1)
3.4 Commercial Software Used in Desalination Process Modeling
122(10)
Conclusion
132(1)
References
133(12)
4 Role of Thermodynamics and Membrane Separations in Water-Energy Nexus
145(56)
Anupam Mukherjee
Shubham Lanjewar
Ridhish Kumar
Arijit Chakraborty
Amira Abdelrasoul
Anirban Roy
4.1 Introduction: 1st and 2nd Laws of Thermodynamics
146(2)
4.2 Thermodynamic Properties
148(5)
4.2.1 Measured Properties
148(1)
4.2.2 Fundamental Properties
149(1)
4.2.3 Derived Properties
149(1)
4.2.4 Gibbs Energy
149(3)
4.2.5 1st and 2nd Law for Open Systems
152(1)
4.3 Minimum Energy of Separation Calculation: A Thermodynamic Approach
153(11)
4.3.1 Non-Idealities in Electrolyte Solutions
154(1)
4.3.2 Solution Thermodynamics
154(1)
4.3.2.1 Solvent
155(1)
4.3.2.2 Solute
155(1)
4.3.2.3 Electrolyte
156(1)
4.3.3 Models for Evaluating Properties
157(1)
4.3.3.1 Evaluation of Activity Coefficients Using Electrolyte Models
157(2)
4.3.4 Generalized Least Work of Separation
159(1)
4.3.4.1 Derivation
160(4)
4.4 Desalination and Related Energetics
164(9)
4.4.1 Evaporation Techniques
166(1)
4.4.2 Membrane-Based New Technologies
167(6)
4.5 Forward Osmosis for Water Treatment: Thermodynamic Modelling
173(10)
4.5.1 Osmotic Processes
173(1)
4.5.1.1 Osmosis
174(1)
4.5.1.2 Draw Solutions
175(2)
4.5.2 Concentration Polarization in Osmotic Process
177(1)
4.5.2.1 External Concentration Polarization
177(1)
4.5.2.2 Internal Concentration Polarization
178(2)
4.5.3 Forward Osmosis Membranes
180(1)
4.5.4 Modern Applications of Forward Osmosis
180(1)
4.5.4.1 Wastewater Treatment and Water Purification
181(1)
4.5.4.2 Concentrating Dilute Industrial Wastewater
181(1)
4.5.4.3 Concentration of Landfill Leachate
181(1)
4.5.4.4 Concentrating Sludge Liquids
182(1)
4.5.4.5 Hydration Bags
182(1)
4.5.4.6 Water Reuse in Space Missions
182(1)
4.6 Pressure Retarded Osmosis for Power Generation: A Thermodynamic Analysis
183(9)
4.6.1 What Is Pressure Retarded Osmosis?
183(1)
4.6.2 Pressure Retarded Osmosis for Power Generation
184(2)
4.6.3 Mixing Thermodynamics
186(1)
4.6.3.1 Gibbs Energy of Solutions
186(1)
4.6.3.2 Gibbs Free Energy of Mixing
187(1)
4.6.4 Thermodynamics of Pressure Retarded Osmosis
188(2)
4.6.5 Role of Membranes in Pressure Retarded Osmosis
190(1)
4.6.6 Future Prospects of Pressure Retarded Osmosis
191(1)
4.7 Conclusion
192(1)
4.8 Acknowledgment
192(9)
Nomenclature
192(1)
1 Roman Symbols
192(1)
2 Greek Symbols
193(1)
3 Subscripts
194(1)
4 Superscripts
194(1)
5 Acronyms
194(1)
References
195(6)
5 Modeling and Simulation for Membrane Gas Separation Processes
201(36)
Samaneh Bandehali
Hamidreza Sanaeepur
Abtin Ebadi Amooghin
Abdolreza Moghadassi
Abbreviations
201(1)
Nomenclatures
202(1)
Subscripts
203(1)
5.1 Introduction
203(2)
5.2 Industrial Applications of Membrane Gas Separation
205(5)
5.2.1 Air separation or Froauction or Uxygen and Nitrogen
205(1)
5.2.2 Hydrogen Recovery
206(4)
5.2.3 Carbon Dioxide Removal from Natural Gas and Syn Gas Purification
210(1)
5.3 Modeling in Membrane Gas Separation Processes
210(11)
5.3.1 Mathematical Modeling for Membrane Separation of a Gas Mixture
210(8)
5.3.2 Modeling in Acid Gas Separation
218(3)
5.4 Process Simulation
221(4)
5.4.1 Gas Treatment Modeling in Aspen HYSYS
222(3)
5.5 Modeling of Gas Separation by Hollow-Fiber Membranes
225(2)
5.6 CFD Simulation
227(1)
5.6.1 Hollow Fiber Membrane Contactors (HFMCs)
227(1)
5.7 Conclusions
228(1)
References
229(8)
6 Gas Transport through Mixed Matrix Membranes (MMMs): Fundamentals and Modeling
237(20)
Rizwan Nasir
Hafiz Abdul Mannan
Danial Qadir
Hilmi Mukhtar
Dzeti Farhah Mohshim
Aymn Abdulrahman
6.1 History of Membrane Technology
237(1)
6.2 Separation Mechanisms for Gases through Membranes
238(4)
6.3 Overview of Mixed Matrix Membranes
242(1)
6.3.1 Material and Synthesis of Mixed Matrix Membrane
242(1)
6.3.2 Performance Analysis of Mixed Matrix Membranes
242(1)
6.4 MMMs Performance Prediction Models
243(3)
6.4.1 New Approaches for Performance Prediction of MMMs
246(1)
6.5 Future Trends and Conclusions
246(7)
6.6 Acknowledgment
253(1)
References
253(4)
7 Application of Molecular Dynamics Simulation to Study the Transport Properties of Carbon Nanotubes-Based Membranes
257(20)
Maryam Ahntadzadeh Tofighy
Toraj Mohammadi
7.1 Introduction
258(1)
7.2 Carbon Nanotubes (CNTs)
259(4)
7.3 CNTs Membranes
263(2)
7.4 MD Simulations of CNTs and CNTs Membranes
265(6)
7.5 Conclusions
271(1)
References
272(5)
8 Modeling of Sorption Behaviour of Ethylene Glycol-Water Mixture Using Flory-Huggins Theory
277(24)
Haresh K. Dave
Kaushik Nath
8.1 Introduction
278(3)
8.2 Materials and Method
281(8)
8.2.1 Chemicals
281(1)
8.2.2 Preparation and Cross-Linking of Membrane
281(1)
8.2.3 Determination of Membrane Density
281(1)
8.2.4 Sorption of Pure Ethylene Glycol and Water in the Membrane
282(1)
8.2.5 Sorption of Binary Solution in the Membrane
282(1)
8.2.6 Model for Pure Solvent in PVA/PES Membrane Using F-H Equation
283(2)
8.2.7 Model for Binary EG-Water Sorption Using F-H Equation
285(4)
8.3 Results and Discussion
289(7)
8.3.1 Sorption in the PVA-PES Membrane
289(1)
8.3.2 Determination of F-H Parameters Between Water and Ethylene Glycol (Χw-EG)
290(2)
8.3.3 Determination of F-H Parameters for Solvent and Nlembrane (Χwm and ΧEGM)
292(1)
8.3.4 Modeling of Sorption Behaviour Using F-H Parameters
293(3)
8.4 Conclusions
296(1)
Nomenclature
297(1)
Greek Letters
298(1)
Acknowledgement
298(1)
References
298(3)
9 Artificial Intelligence Model for Forecasting of Membrane Fouling in Wastewater Treatment by Membrane Technology
301(26)
Khac-Uan Do
Felix Schmitt
9.1 Introduction
302(3)
9.1.1 Membrane Filtration in Wastewater Treatment
302(1)
9.1.2 Membrane Fouling in Membrane Bioreactors and its Control
302(2)
9.1.3 Models for Membrane Fouling Control
304(1)
9.1.4 Objectives of the Study
305(1)
9.2 Materials and Methods
305(3)
9.2.1 AO-MBR System
305(1)
9.2.2 The AI Modeling in this Study
305(2)
9.2.3 Analysis Methods
307(1)
9.3 Results and Discussion
308(12)
9.3.1 Membrane Fouling Prediction Based on AI Model
308(8)
9.3.2 Discussion on Using AI Model to Predict Membrane Fouling
316(4)
9.4 Conclusion
320(1)
Acknowledgements
321(1)
References
321(6)
10 Membrane Technology: Transport Models and Application in Desalination Process
327(48)
Lubna Muzamil Rehtnan
Anupam Mukherjee
Zhiping Lai
Anirban Roy
10.1 Introduction
328(3)
10.2 Historical Background
331(4)
10.3 Theoretical Background and Transport Models
335(16)
10.3.1 Classical Solution Diffusion Model
336(3)
10.3.2 Extended Solution-Diffusion Model
339(2)
10.3.3 Modified Solution-Diffusion-Convection Model
341(1)
10.3.4 Pore Flow Model (PFM)
342(2)
10.3.5 Electrolyte Transport and Electrokinetic Models
344(2)
10.3.6 Kedem-Katchalsky Model - An Irreversible Thermodynamics Model
346(1)
10.3.7 Spiegler-Kedem Model
346(1)
10.3.8 Mixed-Matrix Membrane Models
347(1)
10.3.9 Thin Film Composite Membrane Transport Models
348(1)
10.3.10 Membrane Distillation
349(2)
10.4 Limitations of Current Membrane Technology
351(4)
10.4.1 External Concentration Polarisation
351(1)
10.4.2 Internal Concentration Polarisation
352(2)
10.4.3 External Concentration Polarisation Due to Membrane Biofouling
354(1)
10.5 Recent Advances of Membrane Technology in RO, FO, and PRO
355(5)
10.5.1 Hybrids
358(1)
10.5.2 Other Membrane Desalination Technologies
359(1)
10.5.2.1 Membrane Distillation
359(1)
10.5.2.2 Reverse Electrodialysis (RED)
360(1)
10.6 Techno-Economical Analysis
360(2)
10.7 Conclusion
362(1)
List of Abbreviations and Symbols
363(2)
Greek Symbols
365(1)
Suffix
366(1)
References
366(9)
Index 375
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 journals and proceedings of 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 international journals, filed one patent, and published one book. She is also the recipient of five prestigious national awards and fellowship.