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ویرایش: 1 نویسندگان: Iqbal M. Mujtaba, Md Tanvir Sowgath سری: ISBN (شابک) : 0128137908, 9780128137901 ناشر: Elsevier سال نشر: 2022 تعداد صفحات: 642 زبان: English فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) حجم فایل: 54 مگابایت
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در صورت تبدیل فایل کتاب Desalination Technologies: Design and Operation به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب فن آوری های نمک زدایی: طراحی و بهره برداری نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
تکنولوژیهای نمکزدایی: طراحی و بهرهبرداری با تجزیه و تحلیل تقاضای فعلی برای آب، منابع آب موجود و تقاضای پیشبینیشده آینده، زمینه را برای فناوریهای نمکزدایی بهعنوان راهحلی بلندمدت برای تقاضای آب شیرین فراهم میکند. این کتاب پیشرفتهای اخیر در نمکزدایی حرارتی (نمکزدایی چند مرحلهای، تبخیر چند اثره، فشردهسازی بخار)، نمکزدایی غشایی (اسمز رو به جلو، اسمز معکوس، کاهش فشار، الکترودیالیز، تقطیر غشایی، فیلتراسیون فوقالعاده، نانو و میکرو) را نشان میدهد. و فرآیندهای جایگزین مانند انجماد و تبادل یونی. هر دو مدل پویا و حالت پایدار (از برش کوتاه، ساده، تا جزئیات) فرآیندهای مختلف نمکزدایی مورد بحث قرار میگیرند.
این کتاب برای دانشجویان (زیر) فارغ التحصیل مهندسی شیمی و محققین کارشناسی ارشد و متخصصان صنایع در نمک زدایی در نظر گرفته شده است.
DOI: 10.1016/C2016- 0-05222-1 https://doi.org/10.1016/C2016-0-05222-1Desalination 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.
The book is intended for (under)graduate students in chemical engineering and postgraduate researchers and industrial practitioners in desalination.
DOI: 10.1016/C2016-0-05222-1 https://doi.org/10.1016/C2016-0-05222-1DESALINATION TECHNOLOGIES: Design and Operation Copyright Dedication Authors Preface 1 . Introduction 1.1 World water demand and crisis 1.2 Wastewater, reclamation and reuse, social perception 1.3 Sustainable water supply and management 1.3.1 Wastewater treatment and reuse 1.3.2 Water network for distribution 1.3.3 Effective use of water in agriculture 1.3.4 Water demand management 1.4 Freshwater production by desalination processes 1.4.1 Thermal desalination processes 1.4.2 Membrane desalination processes 1.5 Market share and analysis of different desalination processes References 2 . Desalination processes 2.1 MEE desalination process 2.1.1 MEE process with heat pumps 2.1.1.1 MEE-TVC process 2.1.1.2 MEE-MVC process 2.1.1.3 MEE-ABVC process 2.1.1.4 MEE-ADVC process 2.2 MSF desalination process 2.2.1 Once through MSF process 2.2.2 Multistage flash with brine recirculation 2.3 RO desalination process 2.3.1 Principle of reverse osmosis 2.3.2 Membrane module 2.3.2.1 Plate and frame membrane configuration 2.3.2.2 Tubular membrane configuration 2.3.2.3 Spiral wound membrane module 2.3.2.4 Hollow fiber membrane module References 3 . Process modeling, simulation, optimization, and computational tools 3.1 Introduction 3.2 Modeling 3.2.1 Process modeling 3.2.2 Types of models 3.2.3 Solution of process model 3.2.3.1 Degrees of freedom 3.3 Process simulation 3.3.1 Sequential modular approach 3.3.1.1 Simulation of open-loop flowsheet 3.3.1.2 Simulation of closed-loop flowsheet (with recycle stream) 3.3.2 Simultaneous modular approach 3.3.3 Equation-oriented approach 3.4 Optimization 3.4.1 Essential features of optimization problems 3.4.2 Optimization problem formulation 3.4.3 Solution of optimization problems 3.4.3.1 NLP solution techniques 3.4.3.1.1 Successive linear programming method 3.4.3.1.2 Successive quadratic programming method 3.4.3.2 MINLP solution techniques 3.4.3.2.1 Branch-and-bound method 3.4.3.2.2 Outer approximation method 3.5 Commercial flowsheeting software used in desalination 3.5.1 gPROMS software 3.5.1.1 Modeling process discontinuities 3.5.1.2 Modeling of operating procedures 3.5.1.3 Dynamic optimization 3.5.1.4 Parameter estimation 3.5.1.5 Open architecture 3.6 Advantages of modeling and simulation References 4 . Modeling of MSF desalination process 4.1 Introduction 4.2 MSF model: type I 4.2.1 Single-stage flash process 4.2.1.1 Degrees of freedom (DOF) 4.2.1.2 Example and specifications 4.2.1.3 Results 4.2.2 Three-stage flash process 4.2.2.1 Degrees of freedom (DOFs) 4.2.2.2 Example and specifications 4.2.2.3 Results 4.2.3 Multistage flash process 4.2.3.1 Degrees of freedom 4.2.3.2 Example and specifications 4.2.4 Multistage flash desalination with specified condenser area 4.2.4.1 Degrees of freedom 4.2.4.2 Example and specifications 4.2.5 Single-stage flash desalination with brine recycle 4.2.5.1 Degrees of freedom 4.2.5.2 Example and specifications 4.2.5.3 Solution of model equations 4.2.6 Multistage flash process with brine recycle 4.2.6.1 Degrees of freedom 4.3 MSF model: type II 4.3.1 Model equations 4.3.1.1 Stage model 4.3.1.2 Brine heater model 4.3.1.3 Brine splitter model 4.3.1.4 Seawater makeup mixer model 4.3.1.5 Physical and chemical properties equations 4.3.1.6 Boiling point elevation (TE) due to salinity 4.3.2 Degrees of freedom analysis 4.3.2.1 Example 4.4 MSF model: type III (hybrid) 4.4.1 Example 1 4.4.2 Example 2: effect of seawater temperature and steam temperature on freshwater production 4.4.3 Example 3: effects of seawater temperature and the design on the operating parameters for fixed freshwater demand 4.5 MSF model: type IV 4.5.1 Stage pressure (Pj) 4.5.2 Example 4.6 MSF model: type V 4.6.1 Demister model 4.6.2 Maximum liquid entrainment mechanism (Sommariva et al., 1999) 4.6.3 Mass balance (El-Dessouky et al., 2000) 4.6.4 Separation efficiency (η) 4.6.5 kf for Clean condition (Sommariva et al., 1999) 4.6.6 kf for fouled condition (Sommariva et al., 1999) 4.6.7 Superficial vapor velocity vs (m/sec) (Sommariva et al., 1999) 4.6.8 Example Nomenclature flink1 References 5 . Modeling of RO desalination process 5.1 Introduction 5.2 RO process 5.3 RO membrane modeling 5.3.1 Membrane transport theories 5.3.1.1 Solution–diffusion membrane mechanism 5.3.1.2 Irreversible thermodynamics membrane mechanism 5.3.2 Concentration polarization 5.4 RO model—Type I 5.4.1 RO model—Type Ia 5.5 RO model—Type II 5.5.1 Single module continuous RO process 5.5.2 Model—Type IIa 5.5.3 Model—Type IIb 5.5.4 Single module batch RO process 5.6 RO model—Type III 5.6.1 Single module continuous RO process 5.6.2 Single module batch RO process 5.7 RO model—Type IV 5.7.1 Single module continuous RO process 5.7.2 Single module batch RO process 5.8 RO model—Type V 5.8.1 Continuous RO process—spiral wound membrane flink1 5.9 RO model—Type VI 5.9.1 Continuous RO process—spiral wound membrane 5.10 RO model—Type VII 5.10.1 Continuous RO process—hollow fiber membrane 5.10.1 Model Type—VIIa 5.11 RO models for boron rejection References Further reading 6 . Modeling of MEE desalination process 6.1 Introduction 6.2 MEE process 6.3 MEE model Type—I 6.3.1 Reformulation of model Type—I equations for sequential solution 6.4 MEE model Type—II 6.5 MEE model Type – III 6.5.1 Forward feed MEE-TVC process—model Type IIIa 6.6 MEE model Type—IV References 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 7.3.1 Optimization problem 1: fixed design with dynamic brine heater fouling but constant stage fouling 7.3.2 Optimization problem 2: optimum design with constant brine heater and stage fouling 7.4 Optimization of MSF processes with variable freshwater demand 7.4.1 Optimization problem 3: variable monthly freshwater demand 7.4.2 Optimization problem 4: variable daily freshwater demand—constant fouling factors 7.4.2.1 Seasonal freshwater demand 7.4.3 Optimization problem 5: variable daily freshwater demand—variable fouling factors 7.4.3.1 Effect of seawater temperature on CaCO3 fouling resistance 7.5 Global optimization 7.5.1 Optimization problem 6 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 8 . Optimization of RO desalination process 8.1 Introduction 8.2 Optimization problem 1 8.2.1 Maximum recovery ratio problem 8.2.2 Maximum profit problem 8.2.2.1 Price sensitivity 8.3 Optimization problem 2 8.4 Optimization problem 3 8.5 Optimization problem 4 8.5.1 Optimization problem 4a 8.5.2 Optimization problem 4b 8.6 Optimization problem 5 8.7 Optimization problem 6 8.8 Optimization problem 7 8.8.1 Operation optimization 8.8.2 Design and operation optimization 8.9 Optimization problem 8 8.9.1 Single objective optimization 8.9.2 Multiobjective optimization 8.10 Optimization problem 9 8.10.1 Optimization problem 9a 8.10.2 Optimization problem 9b 8.10.3 Optimization problem 9c 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 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 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 11 . Dynamic modeling and control of desalination processes 11.1 Introduction 11.2 Dynamic modeling of MSF process 11.2.1 Stage model 11.2.2 Brine heater model 11.2.3 Last stage, N 11.3 MSF process control 11.3.1 Proportional integral derivative (PID) control 11.3.2 Generic Model Control (GMC) 11.3.3 Example 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 11.7.1 Set point tracking without disturbances 11.7.2 Set point tracking with disturbances 11.8 Nomenclature 11.9 Greek letters References 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 13 . Application of artificial intelligence in desalination processes 13.1 Introduction 13.2 NN architecture 13.2.1 Neurons 13.2.2 Weights and biases 13.2.3 Transfer function 13.3 NN training algorithm 13.4 Features of MATLAB neural network toolbox 13.4.1 Generalization and processing of data 13.4.2 Optimum network architecture 13.4.3 The training, validation, and testing 13.5 NN based correlation for boiling point temperature elevation (TE) in MSF process 13.5.1 Experimental data 13.5.2 Radial basis function NN-based correlation for TE in MSF process 13.6 NN-based correlation for estimating first and second dissociation constant of carbonic acid in seawater 13.6.1 Dissociation constants 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 13.8.1 Membrane fouling and mechanism 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 14 . Pretreatments and posttreatments in desalination processes 14.1 Introduction 14.2 Pretreatments in MSF process 14.2.1 MSF pretreatment with nanofiltration 14.2.2 MSF pretreatment with salts precipitation 14.2.3 MSF pretreatment with FO 14.2.4 Chlorination in MSF 14.2.5 Ion exchange–based pretreatment in MSF 14.3 RO membrane fouling 14.3.1 Colloidal fouling 14.3.2 Organic fouling 14.3.3 Biofouling 14.4 Conventional pretreatments in RO process 14.4.1 Chlorination/disinfection and pH adjustment 14.4.2 Coagulation 14.4.3 Flocculation 14.4.4 Sedimentation 14.4.5 Flotation 14.4.6 Filtration 14.4.7 Antiscalant 14.4.8 Dechlorination 14.5 Nonconventional pretreatments in RO process 14.5.1 Microfiltration 14.5.2 Ultrafiltration 14.6 Posttreatment of desalinated water 14.7 Environmental impact References Further reading Index A B C D E F G H I K L M N O P R S T U V W Z