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Integrated Green Energy Solutions, Volume 1
Milind Shrinivas Dangate (Edited by), Dangate (Author), W. S. Sampath (Edited by), O. V. Gnana Swathika (Edited by), Sanjeevikumar Padmanaban (Edited by)
9781119847434, Wiley
Hardback, published 7 June 2023
400 pages
22.9 x 15.2 x 2.5 cm, 0.785 kg
INTEGRATED GREEN ENERGY SOLUTIONS This first volume in a two-volume set presents the state of the art for the concepts, practical applications, and future of renewable energy and how to move closer to true sustainability. Renewable energy supplies are of ever-increasing environmental and economic importance in every country worldwide. A wide range of renewable energy technologies has been established commercially and recognized as an important set of growth industries for most governments. World agencies, including the United Nations, have extensive programs to encourage these emerging technologies. This book will bridge the gap between descriptive reviews and specialized engineering technologies. It centers on demonstrating how fundamental physical processes govern renewable energy resources and their applications. Although the applications are updated continually, the fundamental principles remain the same, and this book will provide a useful platform for those advancing the subject and its industries. Integrated Resilient Energy Solutions is a two-volume set covering subjects of proven technical and economic importance worldwide. Energy supply from renewables is an essential component of every nation’s strategy, especially when there is responsibility for the environment and sustainability. These two volumes will consider the timeless renewable energy technologies’ principles yet demonstrate modern applications and case studies. Whether for the veteran engineer, student, or other professional, these two volumes are a must-have for any library.
Preface xvii 1 Green Economy and the Future in a Post-Pandemic World 1 1.1 Intergovernmental Panel on Climate Change 2 1.2 The Need to Question How we Do Business and the Evolution of Green Policies 3 1.3 The Shift from Fossil Fuels to Nuclear Energy for a Cleaner, Sustainable Environment 4 1.4 Significance of Emergent Technologies in the Reduction of Global Warming and Climate Change 6 Conclusion 8 Bibliography 9 2 Home Automation System Using Internet of Things for Real-Time Power Analysis and Control of Devices 11 2.1 Introduction 12 2.2 Methodology 14 2.3 Design Specifications 15 2.3.1 Components Required 15 2.3.2 Circuit Diagram and Working 18 2.3.3 Blynk GUI (Graphical User Interface) for Smartphone 19 2.3.4 PCB (Printed Circuit Board) Design 20 2.4 Results and Discussion 20 2.4.1 Prototype Design Completion 20 2.4.2 Testing and Observations 22 2.4.3 Future Prospects 23 2.5 Conclusion 24 References 25 3 Energy Generation from Secondary Li-Ion Batteries to Economical Na-Ion Batteries 27 3.1 Introduction 28 3.2 Li-Ion Battery 29 3.3 Sodium-Ion Batteries 33 3.4 Conclusion 40 References 41 4 Hydrogen as a Fuel Cell 45 4.1 Introduction 45 4.2 Operating Principle 48 4.2.1 Types of Fuel Cells 49 4.3 Why Hydrogen as a Fuel Cell? 50 4.3.1 Electrolyte 52 4.3.2 Catalyst Layer (At the Cathode & Anode) 52 4.3.3 Bipolar Plate (Cathode & Anode) 52 4.4 Hydrogen as an Energy-Vector in a Long-Term Fuel Cell 53 4.5 Application 55 4.6 Conclusion 56 References 57 5 IoT and Machine Learning–Based Energy-Efficient Smart Buildings 61 5.1 Introduction 61 5.2 Methodology 63 5.3 Design Specifications 65 5.3.1 NodeMCU 65 5.3.2 Relay 65 5.3.3 Firebase 66 5.3.4 Raspberry Pi 66 5.3.5 Camera 66 5.4 Results 66 5.5 Conclusion 69 References 69 6 IOT-Based Smart Metering 71 Abbreviations and Nomenclature 72 6.1 Introduction 72 6.1.1 Motivation 72 6.1.2 Objectives 73 6.2 Methodology 73 6.2.1 Advent of Smart Meter 73 6.2.2 Modules 77 6.2.3 Energy Meter 77 6.2.4 Wi-Fi Module 78 6.2.5 Arduino UNO 78 6.2.6 Back End 78 6.3 Design of IOT-Based Smart Meter 81 6.3.1 Energy Meter 81 6.3.2 Arduino UNO 82 6.3.3 Wi-Fi Module 83 6.3.4 Calculations 84 6.3.5 Units 84 6.4 Results and Discussion 84 6.4.1 Working 84 6.4.2 Readings Captured in the Excel Sheet 85 6.4.3 Predication Using Statistical Analytics 86 6.4.4 Quantitative Analytics 86 6.4.5 Predication of Missing Data 87 6.4.6 Hardware Output 87 6.5 Conclusion 88 References 89 7 IoT-Based Home Automation and Power Consumption Analysis 93 7.1 Introduction 94 7.2 Literature Review 94 7.3 IoT (Internet of Things) 96 7.4 Architecture 96 7.5 Software 97 7.5.1 IFTTT 97 7.5.2 ThingSpeak 97 7.5.3 Google Assistant 98 7.6 Hardware 98 7.6.1 DHT Sensor 98 7.6.2 Motor 98 7.6.3 NodeMCU 99 7.6.4 Gas Sensor 99 7.7 Implementation, Testing and Results 99 7.8 Conclusion 102 References 103 8 Advanced Technologies in Integrated Energy Systems 105 8.1 Introduction 106 8.2 Combined Heat and Power 107 8.2.1 Stirling Engines 107 8.2.2 Turbines 108 8.2.3 Fuel Cell 110 8.2.4 Chillers 112 8.2.5 PV/T System 113 8.3 Economic Aspects 114 8.4 Conclusion 115 References 116 9 A Study to Enhance the Alkaline Surfactant Polymer (ASP) Process Using Organic Base 119 9.1 Introduction 119 9.2 Materials and Methods 121 9.3 Similarity Study of NA in the Saline Water Containing Cations Having a Valency of 2 122 9.4 Results and Discussion 123 9.4.1 Alkalinity Contributed by NA for Intensifying the IFT Characteristics 123 9.4.2 Interfacial Tension Properties 124 9.4.3 The Similarity of NA + Polymer 124 9.4.4 Traits of Adsorption 125 9.4.5 Economics 125 9.4.6 Regular NA Injection Recommendation 125 9.5 Conclusions 126 References 126 10 Flexible Metamaterials for Energy Harvesting Applications 129 10.1 Introduction 130 10.2 Metamaterials 131 10.2.1 Energy Harvesting Using Metamaterials 132 10.2.2 Solar Energy Harvesting 132 10.2.2.1 Numerical Setup 133 10.2.3 Acoustic Energy Harvesting 135 10.2.4 RF Energy Harvesting 137 10.3 Summary and Challenges 138 References 138 11 Smart Robotic Arm 141 Abbreviations and Nomenclature 141 11.1 Introduction 142 11.1.1 Motivation 142 11.1.2 Objectives 143 11.1.3 Scope of the Work 143 11.1.4 Organization 143 11.2 Design of Robotic Arm with a Bot 144 11.2.1 Design Approach 144 11.2.1.1 Codes and Standards 144 11.2.1.2 Realistic Constraints 144 11.2.2 Design Specifications 149 11.3 Project Demonstration 152 11.3.1 Introduction 152 11.3.2 Analytical Results 153 11.3.3 Simulation Results 153 11.3.4 Hardware Results 154 11.4 Conclusion 155 11.4.1 Cost Analysis 155 11.4.2 Scope of Work 155 11.4.3 Summary 155 References 156 12 Energy Technologies and Pricing Policies: Case Study 157 12.1 Introduction 157 12.2 Literature Review 159 12.3 Non-Linear Pricing 161 12.4 Agricultural Water Demand 162 12.5 Priced Inputs and Unpriced Resources 163 12.6 Proposed Set Up on Paper 164 12.7 Empirical Model 167 12.8 Identification Strategy 168 12.9 Data 170 12.10 Empirical Results 171 12.11 Counterfactual Simulation A 173 12.12 Counterfactual Simulation B 174 12.13 Counterfactual Simulation: Costs of Reduced Groundwater Demand 176 12.14 Conclusion 180 References 181 13 Energy Availability and Resource Management: Case Study 185 13.1 Introduction 185 13.2 Literature Review 187 13.3 Study Area 189 13.3.1 Producer Survey 192 13.4 Empirical Model of Adoption 193 13.5 Material and Methods 196 13.6 Results 198 13.7 Conclusion 203 References 204 14 Energy-Efficient Dough Rolling Machine 207 14.1 Introduction 208 14.2 Methodology 208 14.3 Specifications 210 14.3.1 Motor 210 14.3.2 Switch Mode Power Supply (SMPS) 210 14.3.3 Speed Reduction 211 14.3.4 Coupler 212 14.3.5 Main Base Structure 212 14.3.6 Rotating Platform and Rollers 212 14.3.7 Rotating Platform 213 14.3.8 Rollers 213 14.4 Result and Discussion 215 14.5 Conclusion 215 References 215 15 Peak Load Management System Using Node-Red Software Considering Peak Load Analysis 217 15.1 Introduction 218 15.2 Methodology 219 15.2.1 Peak Demand and Load Profile 219 15.2.2 Need of Peak Load Management (PLM) 220 15.2.3 Data Analysis 220 15.2.4 Need to Flatten the Load Curve 221 15.2.5 Current Observations 221 15.2.6 Equations 221 15.3 Model Specifications 221 15.4 Features of UI Interface 225 15.4.1 App Prototype 225 15.5 Conclusions 227 Bibliography 227 16 An Overview on the Energy Economics Associated with the Energy Industry 229 16.1 Time Value of Money 230 16.1.1 Present Value of an Asset 230 16.1.2 Future Value of an Investment 230 16.1.3 Rule of 72 231 16.2 Classification of Cost 232 16.2.1 Fixed Cost of an Asset (FCA) 232 16.2.2 Variable Cost of a Plant (VCP) 232 16.2.3 Total Cost of a Plant (TCP) 232 16.2.4 Break-Even Location (BEL) 232 16.3 Economic Specification 233 16.3.1 Return on Cost (ROC) 233 16.3.2 Payback Span 233 16.3.3 Net Present Worth 233 16.3.4 Discounted Money Flow (DMF) 234 16.3.5 Internal Charge of Returns (ICR) 234 16.4 Analysis 234 16.4.1 Incremental Analysis (IA) 234 16.4.1.1 Pertinent Cost (PC) 234 16.4.1.2 Non-Pertinent Cost (NPC) 235 16.4.2 Sensitivity Analysis (SA) 235 16.4.3 Replacement Analysis (RA) 237 16.5 Conclusion 239 Bibliography 240 17 IoT-Based Unified Child Monitoring and Security System 241 17.1 Introduction 242 17.2 Literature Review 243 17.3 Proposed System 247 17.3.1 Block Diagram 247 17.3.2 Design Approach 249 17.3.3 Software Analysis 249 17.3.4 Hardware Analysis 252 17.3.4.1 Experimental Setup 253 17.4 Result and Analysis 256 17.5 Conclusion and Future Enhancement 259 17.5.1 Conclusion and Inference 259 17.5.2 Future Enhancement 260 References 260 18 IoT-Based Plant Health Monitoring System Using CNN and Image Processing 263 18.1 Introduction 264 18.2 Literature Survey 265 18.3 Data Analysis 268 18.3.1 Convolutional Neural Network 268 18.3.2 Phases of the Model 269 18.3.3 Proposed Architecture 269 18.4 Proposed Methodology 271 18.4.1 System Module and Structure 271 18.4.2 System Design and Methods 272 18.4.3 Plant Disease Detection and Classification 272 18.4.3.1 Dataset Used 272 18.4.3.2 Preprocessing and Labelling Methods 273 18.4.3.3 Procedure of Augmentation 273 18.4.3.4 Training Using CNN 273 18.4.3.5 Analysis 275 18.4.3.6 Final Polishing of Results 275 18.4.4 Hardware and Software Instruments 275 18.5 Results and Discussion 275 18.6 Conclusion 286 References 286 19 IoT-Based Self-Checkout Stores Using Face Mask Detection 291 19.1 Introduction 292 19.2 Literature Review 292 19.2.1 Self-Checkout Stores 292 19.2.2 Face Mask Detection 293 19.3 Convolution Neural Network 295 19.4 Architecture 298 19.5 Hardware Requirements 299 19.5.1 PIR Sensor 299 19.5.2 LCD 299 19.5.3 Arduino UNO 299 19.5.4 Piezo Sensor 299 19.5.5 Potentiometer 300 19.5.6 Led 300 19.5.7 Raspberry Pi 300 19.6 Software 300 19.6.1 Jupyter Notebook 300 19.6.2 TinkerCAD 300 19.7 Implementation 300 19.7.1 Building and Training the Model 301 19.7.2 Testing The Model 302 19.8 Results and Discussions 303 19.9 Conclusion 306 References 306 20 IoT-Based Color Fault Detection Using TCS 3200 in Textile Industry 309 20.1 Introduction 310 20.2 Literature Survey 311 20.3 Methodology 313 20.3.1 Sensor 314 20.3.2 Microcontroller 315 20.3.3 NodeMCU and Wi-Fi Module 317 20.3.4 Servomotor 317 20.3.5 IoT-Based Data Monitoring 318 20.3.6 IR Sensor 318 20.3.7 Proximity Sensor 319 20.3.8 Blynk 319 20.4 Experimental Setup 321 20.5 Results and Discussion 322 20.6 Conclusion 324 References 324 21 Energy Management System for Smart Buildings 327 21.1 Introduction 328 21.2 Literature Survey 328 21.3 Modules of the Project 331 21.3.1 Data Collection for Accurate Energy Prediction 331 21.3.2 ML Prediction 332 21.3.3 Web Server 332 21.3.4 Hardware Description and Implementation 332 21.4 Design of Smart Energy Management System 334 21.4.1 Design Approach 334 21.4.1.1 ML Algorithm 334 21.4.1.2 EMS Algorithm 334 21.4.2 Design Specifications 336 21.5 Result & Analysis 337 21.5.1 Introduction 337 21.5.2 ML Model Results 337 21.5.3 Web Page Results 337 21.5.4 Hardware Results 339 21.6 Conclusion 346 References 346 22 Mobile EV Charging Stations for Scalability of EV in the Indian Automobile Sector 349 22.1 Introduction 350 22.2 Methodology 350 22.2.1 Design Specifications 351 22.2.2 Block Diagrams 356 22.3 Result 357 22.4 Conclusions 358 Bibliography 358 About the Editors 361 Index 363
Luke Gerard Christie and Deepa Cherian
Richik Ray, Rishita Shanker, V. Anantha Krishnan, O.V. Gnana Swathika and C. Vaithilingam
R. Rajapriya and Milind Shrinivas Dangate
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Subject Areas: Electronics & communications engineering [TJ]
