Desalination Technologies Design and Operation 1st Edition by Iqbal Mujtaba, Tanvir Sowgath ISBN 0128137908 978-0128137901
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ISBN 10: 0128137908
ISBN 13: 978-0128137901
Author: Iqbal Mujtaba, Tanvir Sowgath
Desalination Technologies: Design and Operation sets the scene for desalination technologies as a long-term solution to freshwater demand by analyzing the current demand for water, available water resources and future predicted demand. The book captures recent developments in thermal desalination (multistage flash desalination, multi-effect evaporation, vapor compression), membrane desalination (forward osmosis, reverse osmosis, pressure retarded, electrodialysis, membrane distillation, ultra-, nano-, and micro-filtration), and alternative processes such as freezing and ion exchange. Both dynamic and steady state models (from short cut, simple, to detail) of various desalination processes are discussed.
Desalination Technologies: Design and Operation 1st Table of contents:
Chapter 1. Introduction
1.1 World water demand and crisis
1.2 Wastewater, reclamation and reuse, social perception
1.3 Sustainable water supply and management
1.4 Freshwater production by desalination processes
1.5 Market share and analysis of different desalination processes
References
Chapter 2. Desalination processes
2.1 MEE desalination process
2.2 MSF desalination process
2.3 RO desalination process
References
Chapter 3. Process modeling, simulation, optimization, and computational tools
3.1 Introduction
3.2 Modeling
3.3 Process simulation
3.4 Optimization
3.5 Commercial flowsheeting software used in desalination
3.6 Advantages of modeling and simulation
References
Chapter 4. Modeling of MSF desalination process
4.1 Introduction
4.2 MSF model: type I
4.3 MSF model: type II
4.4 MSF model: type III (hybrid)
4.5 MSF model: type IV
4.6 MSF model: type V
Nomenclature
References
Chapter 5. Modeling of RO desalination process
Abstract
5.1 Introduction
5.2 RO process
5.3 RO membrane modeling
5.4 RO model—Type I
5.5 RO model—Type II
5.6 RO model—Type III
5.7 RO model—Type IV
5.8 RO model—Type V
5.9 RO model—Type VI
5.10 RO model—Type VII
5.11 RO models for boron rejection
References
Further reading
Chapter 6. Modeling of MEE desalination process
6.1 Introduction
6.2 MEE process
6.3 MEE model Type—I
6.4 MEE model Type—II
6.5 MEE model Type – III
6.6 MEE model Type—IV
References
Chapter 7. Optimization of MSF desalination process
7.1 Introduction
7.2 Operation of MSF processes
7.3 Optimization of MSF processes under fixed freshwater demand
7.4 Optimization of MSF processes with variable freshwater demand
7.5 Global optimization
7.6 Optimization of industrial MSF-BR process—optimization problem 7
7.7 MSF-BR with thermal vapor compression (MSF-BR-TVC)
7.8 Optimization of cogenerating plants: power and desalination plants
References
Chapter 8. Optimization of RO desalination process
Abstract
8.1 Introduction
8.2 Optimization problem 1
8.3 Optimization problem 2
8.4 Optimization problem 3
8.5 Optimization problem 4
8.6 Optimization problem 5
8.7 Optimization problem 6
8.8 Optimization problem 7
8.9 Optimization problem 8
8.10 Optimization problem 9
8.11 Optimization problem 10
8.12 Optimization problem 11
8.13 Optimization problem 12
8.14 Optimization problem 13
8.15 Optimization problem 14: boron removal
8.16 Optimization problem 15: boron removal
8.17 Optimization problem 16: boron removal
8.18 Optimization problem 17
8.19 Optimization problem 18
8.20 Optimization problem 19: meeting variable freshwater demand
8.21 Optimization problem 20: meeting variable freshwater demand
8.22 Optimization problem 21: internally staged design
8.23 Optimization problem 22: multiperiod operation
References
Chapter 9. Optimization of MEE desalination process
9.1 Introduction
9.2 Optimization problem 1
9.3 Optimization problem 2
9.4 Optimization problem 3
9.5 Optimization problem 4
9.6 Optimization problem 5
9.7 Optimization problem 6
9.8 Optimization problem 7
9.9 Optimization problem 8
9.10 Optimization problem 9
9.11 Optimization problem 10
9.12 Optimization problem 11
9.13 Optimization problem 12
9.14 Optimization problem 13
References
Chapter 10. Hybrid desalination processes
10.1 Introduction
10.2 Hybrid MSF-RO process 1: optimization
10.3 Hybrid MSF-RO process 2: optimization
10.4 Hybrid MSF-RO process 3: optimization
10.5 Hybrid MEE-TVC-RO process 1: optimization
10.6 Hybrid MEE-TVC-RO process 2: simulation
10.7 Hybrid MEE-RO process 3: optimization
10.8 Hybrid MEE-TVC-RO process 4: simulation
10.9 Hybrid MEE-TVC-RO process 5: simulation
10.10 Hybrid MEE-TVC-RO process 6: optimization
10.11 Hybrid MSF-MEE process 1: simulation
10.12 Hybrid MSF-MEE process 2: simulation
10.13 Hybrid MSF-MEE process 3: optimization
10.14 Hybrid Utility-MEE-TVC-RO process: optimization
10.15 Hybrid CHP-MEE-TVC-RO process: simulation
10.16 Hybrid dual-purpose power and water plant 1: simulation
10.17 Hybrid dual-purpose power and water plant 2: simulation
10.18 Hybrid forward osmosis (FO)-RO desalination process: simulation
10.19 Hybrid FO-MSF desalination process
10.20 Hybrid pressure retarded osmosis (PRO)-RO desalination process: simulation
References
Chapter 11. Dynamic modeling and control of desalination processes
11.1 Introduction
11.2 Dynamic modeling of MSF process
11.3 MSF process control
11.4 Dynamic modeling of RO process
11.5 RO process control
11.6 Dynamic modeling of MEE process
11.7 Control of MEE process
11.8 Nomenclature
11.9 Greek letters
References
Chapter 12. Use of renewable energies in desalination processes
12.1 Introduction
12.2 Freeze desalination using LNG cold energy
12.3 MEE-TVC-RO desalination using solar energy
12.4 RO desalination using solar energy
12.5 Combined cycle power and MSF desalination process with solar energy
12.6 Solar powered humidification–dehumidification based desalination
12.7 RO desalinization system for power and water supply using renewable energies
12.8 RO process for producing different grades of water using multiple renewable energy sources
12.9 RO desalination process using wind energy
12.10 MEE desalination process using thermocline energy
12.11 Thermosiphon powered RO desalination process
References
Chapter 13. Application of artificial intelligence in desalination processes
13.1 Introduction
13.2 NN architecture
13.3 NN training algorithm
13.4 Features of MATLAB neural network toolbox
13.5 NN based correlation for boiling point temperature elevation (TE) in MSF process
13.6 NN-based correlation for estimating first and second dissociation constant of carbonic acid in seawater
13.7 NN-based correlation for estimating dynamic freshwater demand profile at different seasons
13.8 NN-based correlation for estimating dynamic water permeability constant in RO process
13.9 NN-based modeling of RO process
13.10 NN-based control of RO process
13.11 NN-based modeling of RO process
13.12 NN-based modeling of industrial MSF and RO process
13.13 NN-based modeling and optimization of industrial MSF
References
Chapter 14. Pretreatments and posttreatments in desalination processes
14.1 Introduction
14.2 Pretreatments in MSF process
14.3 RO membrane fouling
14.4 Conventional pretreatments in RO process
14.5 Nonconventional pretreatments in RO process
14.6 Posttreatment of desalinated water
14.7 Environmental impact
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