Electrical and Electronic Devices, Circuits, and Materials

Electrical and Electronic Devices, Circuits, and Materials
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The increasing demand for electronic devices for private and industrial purposes lead designers and researchers to explore new electronic devices and circuits that can perform several tasks efficiently with low IC area and low power consumption. In addition, the increasing demand for portable devices intensifies the call from industry to design sensor elements, an efficient storage cell, and large capacity memory elements. Several industry-related issues have also forced a redesign of basic electronic components for certain specific applications. The researchers, designers, and students working in the area of electronic devices, circuits, and materials sometimesneed standard examples with certain specifications. This breakthrough work presents this knowledge of standard electronic device and circuit design analysis, including advanced technologies and materials. This outstanding new volume presents the basic concepts and fundamentals behind devices, circuits, and systems. It is a valuable reference for the veteran engineer and a learning tool for the student, the practicing engineer, or an engineer from another field crossing over into electrical engineering. It is a must-have for any library.

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Группа авторов. Electrical and Electronic Devices, Circuits, and Materials

Table of Contents

List of Illustrations

List of Tables

Guide

Pages

Electrical and Electronic Devices, Circuits, and Materials. Technological Challenges and Solutions

Preface

1. Strain Engineering in Modern Field Effect Transistors

1.1 Introduction

1.2 Theory of Strain Technology. 1.2.1 Stress and Strain

1.2.2 Stress Matrix for Biaxial and Uniaxial Stress

1.2.3 Impact of Strain on MOSFET Parameters

1.3 Simulation Studies in Strain Technology

1.4 Experimental Studies on Strain Technology

1.5 Summary and Future Scope

Future Scope

Acknowledgement

References

2. Design and Optimization of Heterostructure Double Gate Tunneling Field Effect Transistor for Ultra Low Power Circuit and System

2.1 Introduction

2.2 Fundamental of Device Physics. 2.2.1 Basic Working Principles of TFET

2.2.2 Kane’s Model

2.3 Analysis Approach and Device Parameters

2.4 Switching Behavior of TFET

2.5 Results and Discussion

2.6 Conclusion

Acknowledgement

References

3. Polymer Electrolytes: Development and Supercapacitor Application

3.1 Introduction

3.1.1 The Basic Principle and Types of Supercapacitors

3.1.2 Key Characteristics of the Electrolyte

Morphology and Crystallinity

Ionic Conductivity

Cation/Ion Transference Number

Electrochemical Stability Window (ESW)

3.1.3 Polymer Electrolytes and Types

3.1.4 Modification Strategies for Polymer Electrolytes

3.2 Preparation and Characterization Techniques

Performance Parameters for Supercapacitors

3.3 Latest Developments

3.4 Summary

References

4 Tunable RF/Microwave Filter with Fractal DGS

4.1 Introduction

4.2 Literature Review

4.2.1 Planar Reconfigurable Filters

4.3 Proposed Work

4.3.1 Design of Hairpin Bandpass Filter

4.3.2 Design of Hairpin Bandpass Filter with Fractal DGS

4.3.3 Design of Tunable Hairpin Bandpass Filter with Fractal DGS

4.4 Conclusion

Acknowledgement

References

5. GaN High Electron Mobility Transistor Device Technology for RF and High-Power Applications

5.1 Introduction

5.2 HEMT Structures

5.2.1 GaAs-Based HEMTs

5.2.2 InP-Based HEMTs

5.2.3 GaN-Based HEMTs

5.3 Polarization Impact and Creation of 2DEG in GaN HEMT. 5.3.1 Polarization Effect

5.3.2 Formation of 2DEG

5.4 GaN-Based HEMT Performance Affecting Factors. 5.4.1 Surface Passivation

5.4.2 Parasitic Effects

5.4.3 Field Plate Engineering Technique

5.4.4 Impact of Barrier Layer

5.5 Conclusion

References

6. Design and Analyses of a Food Protein Sensing System Based on Memristive Properties

6.1 Introduction

6.2 Background

6.2.1 Principle of a Memristor

6.2.2 Bio-Memristors

6.2.3 Applications of Memristors

6.3 Motivation

6.4 Experimental Set-Up

6.5 Experimental Methodology and Preliminary Validation

6.5.1 Experimental Methodology. 6.5.1.1 Food Items

6.5.1.2 Reading Voltage and Current Values

6.5.2 Preliminary Validation

6.6 Sensitivity Parameters

6.6.1 Resistance-Based Sensitivity (Sr)

6.6.2 Point Slope-Based Sensitivity (Sm)

6.6.3 Hysteresis-Line Slope Sensitivity

6.7 Results and Discussion

6.7.1 Category I: Egg Albumin and Milk

6.7.2 Category II: Protein Blend

6.8 Conclusions and Prospects

References

7. Design of Low-Power DRAM Cell Using Advanced FET Architectures

7.1 Introduction

7.2 1T-DRAM (MOS)

7.3 1T-DRAM (CNT-FET)

Read and Write Operation CNT-FET 1T-DRAM

7.4 1T-DRAM (FinFET)

Read and Write Operation FinFET 1T-DRAM

7.5 1-T DRAM (TFET)

Read and Write Operation TFET 1T-DRAM

7.6 Conclusion

References

8. Application of Microwave Radiation in Determination of Quality Sensing of Agricultural Products

8.1 Microwave Heating and its Applications to Agricultural Products. 8.1.1 Principle of Microwave Heating

8.1.2 Moisture Sensing

8.1.3 Promoting Germination

8.1.4 Food Processing

8.1.5 Weeds, Insects and Pests Control

8.1.6 Product Conditioning

8.1.7 Microwave Drying

8.1.8 Quality Sensing in Fruits and Vegetables

8.2 Measurement Techniques

8.2.1 Open-Ended Coaxial Probe – Network Analyzer Technique

8.2.2 Network Analyzer

8.3 Dielectric Spectroscopy of Agricultural Products at Different Temperatures

8.4 Correlation of Dielectric Properties with Nutrients

8.5 Conclusion

References

9. Solar Cell

Introduction

9.1 History of Solar Cell

9.2 Constructional Features of Solar Cell [2]

9.3 Criteria for Materials to Be Used in Manufacturing of Solar Cell

9.4 Types of Solar Cells [5]

9.5 Process of Making Crystals for Solar Cell Manufacturing [2]

9.6 Glass

9.7 Cell Combinations

9.7.1 Series Combination of Solar Cells [4]

9.7.2 Parallel Combination of Solar Cells [4]

9.7.3 Series-Parallel Combination of Solar Cells [4]

9.8 Solar Panels

9.9 Working of Solar Cell [3]

9.10 Solar Cell Efficiency

9.11 Uses/Applications of Solar Cells

Conclusion

References

10. Fabrication of Copper Indium Gallium Diselenide (Cu(In,Ga)Se2) Thin Film Solar Cell

10.1 Introduction

10.2 Device Structure of CIGS Thin Film Solar Cell

10.3 Fabrication and Characterization of CIGS Thin Film Solar Cell

10.3.1 Effect of Thermally Evaporated CdS Film Thickness on the Operation of CIGS Solar Cell

10.3.2 Effect of Heat Soaks on CIGS/CdS Hetero-Junction

10.3.3 Effect of Flash Evaporated CdS Film Thickness on the Performance of CIGS Solar Cell

10.3.4 Effect of i-ZnO Film Thickness on the Performance of CIGS Solar Cell

10.4 Conclusion

References

11. Parameter Estimation of Solar Cells: A Multi-Objective Approach

11.1 Introduction

11.2 Problem Statement

11.2.1 SDM

11.2.2 DDM

11.3 Methodology

11.4 Results and Discussions

11.4.1 Results for the Single-Diode Model

11.4.2 Results for Double-Diode Model

11.5 Conclusions

References

12. An IoT-Based Smart Monitoring Scheme for Solar PV Applications

12.1 Introduction

12.2 Solar PV Systems

12.2.1 Solar Photovoltaic (PV) Systems

12.2.1.1 Stand-Alone PV Modules

12.2.1.2 Grid-Connected PV Systems

12.2.2 Concentrates Solar Power (CSP)

12.2.3 Solar Water Heater Systems

12.2.4 Passive Solar Design

12.2.5 Solar Microgrid System

12.2.5.1 PV Module

12.2.6 Battery

12.2.6.1 Flooded Lead Acid Battery

12.2.6.2 VRLA Battery

12.2.6.3 Lithium-Ion Battery

12.2.7 MPPT

12.2.8 Inverters & Other Electronic Equipment

12.2.9 Charge Controller

12.2.10 Additional Systems Equipment

12.3 IoT

12.3.1 Artificial Intelligence (AI) and Machine Learning

12.3.1.1 Hardware

12.3.1.2 Middleware

12.3.1.3 Cloud

12.3.2 Big Data and Cloud Computing

12.3.3 Smart Sensors

12.3.3.1 Temperature Sensor

12.3.3.2 Humidity Sensor

12.3.3.3 Tilt Sensor

12.3.3.4 CO2 Sensor

12.3.3.5 Voltage and Current Sensor

12.3.3.6 Light Sensor

12.3.3.7 MEMS (Micro Electro Mechanical Systems) Sensor

12.3.3.8 Ultrasonic Sensor

12.3.3.9 IR Sensor

12.3.3.10 Proximity Sensor

12.3.4 Additional Devices for Control and Communication

12.3.4.1 Arduino

12.3.4.2 Raspberry Pi

12.3.4.3 GSM Module

12.3.5 Renewable Energy and IoT in Energy Sector

12.3.6 Application of IoT

12.3.6.1 Application to Renewable Energy Systems

12.3.6.2 Application to Grid Management

12.4 Remote Monitoring Methods of Solar PV System

12.4.1 Wireless Monitoring

12.4.2 Physical/Wired Monitoring

12.4.3 SCADA Monitoring

12.4.4 Monitoring Using Cloud Computing

12.4.5 Monitoring Using IOT

12.4.5.1 IoT-Based Remote Monitoring

12.5 Challenges and Issues of Implementation of IoT on Renewable Energy Resources

12.5.1 Challenges

12.5.2 Solutions

12.6 Conclusion

References

13. Design of Low-Power Energy Harvesting System for Biomedical Devices

13.1 Introduction

13.2 Investigation on Topologies of DC-DC Converter

13.2.1 Hybrid Source Architecture Based on Synchronous Boost Converter

13.2.2 Hybrid Source Architecture Using Single-Inductor Dual-Input Single-Output Converter

13.2.3 Hybrid Source Architecture Employing a Multi-Input DC Chopper

13.3 Hardware Results

13.4 Conclusion

References

14. Performance Analysis of Some New Hybrid Metaheuristic Algorithms for High-Dimensional Optimization Problems

14.1 Introduction

14.2 An Overview of Proposed Hybrid Methodologies

14.3 Experimental Results and Discussion

14.4 Conclusions

References

15. Investigation of Structural, Optical and Wettability Properties of Cadmium Sulphide Thin Films Synthesized by Environment Friendly SILAR Technique

15.1 Introduction

15.2 Experimental Details

15.3 Results and Discussion. 15.3.1 Film Formation Mechanism

15.3.2 Thickness Measurement

15.3.3 Structural Studies

15.3.4 Raman Spectroscopy

15.3.5 Scanning Electron Microscopy

15.3.6 Optical Studies

15.3.7 Wettability Studies

15.4 Conclusion

15.5 Acknowledgement

References

16. Solar Photovoltaic Cells

16.1 Introduction

16.2 Need for Solar Cells

16.3 Structure of Solar Cell

16.4 Solar Cell Classification

16.4.1 First-Generation Solar Cells

16.4.2 Second-Generation Solar Cells

16.4.3 Third-Generation Solar Cells

16.5 Solar PV Cells

16.6 Solar Cell Working

16.7 Mathematical Modelling of Solar Cell

16.8 Solar Cell Connection Methods

16.9 Types of Solar PV System

16.10 Conclusion

References

17. An Intelligent Computing Technique for Parameter Extraction of Different Photovoltaic (PV) Models

17.1 Introduction

17.2 Problem Formulation

17.2.1 Single-Diode Model

17.2.2 Double-Diode Model

17.2.3 Three-Diode Model

17.3 Proposed Optimization Technique

17.3.1 Various Phases of Optimization of Harris Hawks. 17.3.1.1 Exploration Phase

17.3.1.2 Turning from Global to Local Search

17.3.1.3 Exploitation Phase

17.4 Results and Discussions

17.5 Conclusions

References

18. Experimental Investigation on Wi-Fi Signal Loss by Scattering Property of Duranta Plant Leaves

18.1 Introduction

18.1.1 Duranta Golden Plant

18.1.2 Foliage Loss

18.2 Measurement and Calculation

18.2.1 Scattering Feasibility

18.2.2 Comparison with Tree Shadowing Effect

18.3 Result and Discussion

18.4 Conclusions

References

19. Multi-Quantum Well-Based Solar Cell

19.1 Introduction

19.2 Theoretical Aspects of Solar Cell

19.3 Device Design and Simulation Setup

19.4 Results and Discussion. 19.4.1 GaSb/GaAs MQWs Solar Cell

19.4.2 InGaP/GaAs MQW Solar Cell

19.4.3 InP/GaAs MQW Solar Cell

19.4.4 AlGaAs/GaAs MQW Solar Cell

19.4.5 Optimization

19.5 Comparative Analysis

19.6 Conclusion

References

20. Mitigation Techniques for Removal of Dust on Solar Photovoltaic System

20.1 Introduction

20.2 Influencing Factors for Deposition of Dust

20.2.1 Ecological Factors. 20.2.1.1 Direction of Wind and its Velocity

20.2.1.2 Temperature and Moisture

20.2.1.3 Humidity

20.2.1.4 Rainfall

20.2.1.5 Dust Properties

20.2.1.6 Bird Droppings

20.2.2 Factors Influencing Installation. 20.2.2.1 Orientation and Tilt Angle

20.2.2.2 Height

20.2.2.3 Top Surface of the Solar Panels

20.2.3 Installed Location and Exposure Time

20.3 Effects of Deposition of Dust on the Solar Panels

20.3.1 Influence of Electrical Characteristics

20.3.2 Influence of the Optical Characteristics

20.3.3 Influence of the Thermal Characteristic

20.4 Methods of Cleaning System

20.4.1 Natural Cleaning Method

20.4.2 Manual Cleaning Method

20.4.3 Self-Cleaning Method

20.4.3.1 Active Cleaning

20.4.3.1.1 Mechanical Cleaning Method

20.4.3.1.2 Electrostatic Dust-Removal Methods

20.4.3.1.3 Robotic Cleaning

20.4.3.2 Passive Cleaning

20.4.3.2.1 Super Hydrophilic Surface

20.5 Conclusion

References

21. Solid-State Air-Conditioning System Using Photovoltaic Module

21.1 Introduction

21.1.1 Thermoelectric Cooler (TEC)

21.2 Fabrication of the Solid State Air-Conditioning System. 21.2.1 Description of the Proposed Model

21.2.2 Peltier Effect

21.2.3 Comparison Between the Existing Framework and Proposed System

21.3 Hardware Implementation. 21.3.1 8051 Architecture

21.3.2 Microcontroller PCB

21.3.3 Photovoltaic Module

21.3.4 Solar Radiation

21.3.5 Battery

21.3.6 Relay

21.3.7 5×1 Keypad

21.3.8 Peltier Sensor

21.3.9 Solenoid Valve

21.4 Software Analysis

21.4.1 KEIL Compiler

21.4.2 Gathering with Cx51

21.4.3 Running Cx51 from the Command Prompt

21.4.4 Program for AT89S52. 21.4.4.1 Solar Coding

21.4.4.2 Peltier Coding

21.5 Conclusion

References

22. Cu2 ZnSnS4 Thin Film Solar Cell: Fabrication and Characterization

22.1 Introduction

22.1.1 Solar Photovoltaics: A Key to Energy Elucidation

22.1.2 Thin Film Solar Cells

22.1.3 CZTS Solar Cells

22.2 Fabrication of Cu2ZnSnS4 Thin Film Solar Cell

22.2.1 Glass Cleaning

22.2.2 Molybdenum Deposition

22.2.3 CZTS Thin Film Coating

22.2.4 CdS Deposition

22.2.5 ZnO and Al-ZnO Coating

22.2.6 Chromium/Silver Front Contact Grid

22.2.7 CZTS Solar Cell Device

22.3 Characterization of Cu2ZnSnS4 Thin Film Solar Cell. 22.3.1 Typical Solar Cell Characterizations

22.3.2 Current-Voltage (I-V) Measurement

22.3.3 Quantum Efficiency (QE)

22.4 Conclusion

Acknowledgement

References

23. Parameter Estimation of Solar Cell Using Gravitational Search Algorithm

23.1 Introduction

23.2 Modelling of Photovoltaic Unit

23.2.1 Two-Diode Structure

23.3 Formation of Function

23.4 Gravitational Search Algorithm

23.4.1 The Gravitational Search Algorithm is Shown in Steps as Follows

23.5 Review of GSA

23.6 Application of GSA

23.7 Summary and Future Scope of Work

23.8 Particle Swarm Optimization (PSO)

23.8.1 Steps Involved for Particle Swarm Optimization

23.9 Results and Discussion

23.10 Conclusion

References

24. Study of the Most Commonly Utilized Maximum Power Point (MPP) Tracking (MPPT) Schemes for SPV Systems

24.1 Introduction

24.2 Problem Overview in SPV Power Extraction

24.3 Modeling of SPV System

24.4 MPPT Schemes

24.4.1 Perturb and Observe (P&O)

24.4.2 Incremental Conductance

24.4.3 Fuzzy Logic (FL) Based

24.4.4 Hybrid

24.5 Conclusion

References

25. An Investigation and Design of Symmetric and Asymmetric Inverter for Various Applications

25.1 Introduction

25.2 Evaluation of Multilevel Inverters and Its Application in Recent Times

25.3 Design of 15-Level Inverter With Symmetric Voltage Source

25.4 Experimentation of 27-Level Symmetric Inverter

25.5 Design of 31-Level Inverter Using Asymmetric Voltage Sources

25.5.1 Mathematical Model of 31-Level Inverter

25.6 Development of 53-Level Inverter Using Packed Structures

25.7 Summary

References

26. A Demand Side Management Controller Configuration for Interleaved DC-DC Converters Applicable for Renewable Energy Sources

26.1 Introduction

26.2 Control Method and Proposed Controller Investigation

26.2.1 Power Sharing and Demand Side Management

26.3 Simulation Results

26.4 Experimental Results

26.5 Conclusion

References

27. Applications of Hybrid Wind Solar Battery Based Microgrid for Small-Scale Stand-Alone Systems and Grid Integration for Multi-Feeder Systems

27.1 Introduction

27.2 Stand-Alone HRES System

27.2.1 System Description

27.2.2 Results and Discussion

27.2.2.1 Performance of HRES During Source Variations Only

27.2.2.2 Performance of HRES During Load Variations Only

27.2.3 Conclusion

27.3 Grid-Connected HRES System

27.3.1 System Description

27.3.2 Results and Discussion

27.3.2.1 HRES Output

27.3.2.2 Performance of Grid-Connected HRES for Nonlinear Loads

27.3.2.3 Performance of Grid-Connected HRES for Source Voltage Imperfections

27.3.3 Conclusion

Acknowledgements

References

28. Challenging Issues and Solutions on Battery Thermal Management for Electric Vehicles

28.1 Introduction

28.2 Principle and Working of Battery

28.3 Types of Batteries

28.3.1 Primary or Non-Rechargeable Batteries

28.3.2 Secondary or Rechargeable Batteries

28.3.2.1 Lead-Acid Batteries

28.3.2.2 Nickel Cadmium (Ni-Cd)

28.3.2.3 Nickel-Metal Hydride (Ni-MH)

28.3.2.4 Lithium-Ion (Li-Ion)

28.3.3 Selection of Batteries

28.3.3.1 Why Lithium-Ion Battery?

28.4 Thermal Behavior of Batteries

28.5 Battery Thermal Management Systems

28.6 Methods of Battery Thermal Management Systems

28.6.1 Air Cooling BTMS

28.6.2 Liquid Cooling BTMS

28.6.3 Refrigerant Direct Cooling System BTMS

28.6.4 Phase Change Material-Based BTMS

28.6.5 Heat Pipe-Based BTMS

28.6.6 Thermoelectric Cooling

28.7 Conclusion

References

Index

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Although the idea of strain technology first arrived in the 1950s [5–7], experimental implementation of strain engineering was performed in the 1980s [8, 9] when Si-SiGe hetero-junction devices were fabricated and change in carrier mobility and other parameters was analyzed. Later, in 1989, Harmand et al., studied the InAlAs/InGaAs hetero-junction growth on GaAs substrate and observed that the mismatch of lattice constants at the interface of different materials generate significant amount of stress and the carrier transport improves [31]. A major finding was observed by A. Hamada et al. [32], where the authors reported that in scaled MOSFET, the high vertical stress causes compressive surface stress that results in electron trapping in SiO2 gate dielectric medium and as a result, trap assisted gate tunneling leakage current increases. These results gave some important guidelines on the use of mechanical stress for enhancing transistor performance in sub-micron dimensions.

Now, the strain engineering in planner MOSFET structure started with substrate induced biaxial stress [4, 29]. Although several research works were done by various scientists using this biaxial stress, however, due to several challenges, discussed in the earlier section, Ito et al. have proposed a new idea of introducing uniaxial tensile stress in the channel by Nitride capping layer [33] to improve n- channel MOSFET performance. For p- channel devices, Gannavaram et al. demonstrated that SiGe stressor material embedded sourcedrain regions induce compressive stress in the channel [34], and improves hole mobility in the channel. The new technique of introducing compressive channel stress to improve p- channel device performance led the scientists to explore more in this field of work, and in 2003, Ghani et al. of Intel fabricated a 90nm technology node MOSFET device [12] and reported several advantages of this SiGe embedded source-drain technology. Since then, several research works have been published on this field [4, 13, 23, 29] and the studies show that the lattice mismatch at the interface of source/drain and channel induces uniaxial compressive stress in the channel region of transistors. In [13], the authors have compared the performance of both uniaxial and biaxial channel stress in p- channel device and reported that, unlike biaxial stress, uniaxial channel stress helps to improve the mobility of holes more at low strain - high vertical field condition.

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