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Integrated Green Energy Solutions Volume 1

Edited by Milind Shrinivas Dangate, W. S. Sampath, O. V.Gnana Swathika, and Sanjeevikumar Padmanaban
Copyright: 2023   |   Status: Published
ISBN: 9781119847434  |  Hardcover  |  
367 pages
Price: $225 USD
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One Line Description
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.

Audience
Engineers, scientists, chemists, and other industry professionals in the energy sector, especially professionals and students working in renewable energy, grids, and power generation

Description
Renewable energy supplies are of ever-increasing environmental and economic importance in every country in the world. 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, such as 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 being 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.

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Author / Editor Details
Milind Shrinivas Dangate, PhD, is an assistant professor in the Department of Chemistry at Vellore University of Technology, Channai, India. He has authored several publications and has a grant and a fellowship to his credit, in addition to several postdoctoral appointments.

W. S. Sampath, PhD, is a professor in the Department of Mechanical Engineering, Colorado State University, Director for Next Generation Photovoltaics (NGPV) Laboratory at Colorado State University, and Site Director at NSF I/UCRC for Next Generation Photovoltaics. With over 30 years of industry experience, he has contributed significantly to the science of renewable energy.

O. V. Gnana Swathika, PhD, is an associate professor in the School of Electrical Engineering at VIT Chennai, India. She earned her PhD in electrical engineering at VIT University and completed her postdoc at the University of Moratuwa, Sri Lanka.

Sanjeevikumar Padmanaban, PhD, is a faculty member with the Department of Electrical Engineering, IT and Cybernetics, University of South-Eastern Norway, Porsgrunn, Norway. He received his PhD in electrical engineering from the University of Bologna, Italy. He has almost ten years of teaching, research and industrial experience and is an associate editor on a number of international scientific refereed journals. He has published more than 300 research papers and has won numerous awards for his research and teaching. He is currently involved in publishing multiple books with Wiley-Scrivener.

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Table of Contents
Preface
1. Green Economy and the Future in a Post-Pandemic World
Luke Gerard Christie and Deepa Cherian
1.1 Intergovernmental Panel on Climate Change
1.2 The Need to Question How we Do Business and the Evolution of Green Policies
1.3 The Shift from Fossil Fuels to Nuclear Energy for a Cleaner, Sustainable Environment
1.4 Significance of Emergent Technologies in the Reduction of Global Warming and Climate Change
Conclusion
Bibliography
2. Home Automation System Using Internet of Things for Real-Time Power Analysis and Control of Devices
Richik Ray, Rishita Shanker, V. Anantha Krishnan, O.V. Gnana Swathika and C. Vaithilingam
2.1 Introduction
2.2 Methodology
2.3 Design Specifications
2.3.1 Components Required
2.3.2 Circuit Diagram and Working
2.3.3 Blynk GUI (Graphical User Interface) for Smartphone
2.3.4 PCB (Printed Circuit Board) Design
2.4 Results and Discussion
2.4.1 Prototype Design Completion
2.4.2 Testing and Observations
2.4.3 Future Prospects
2.5 Conclusion
References
3. Energy Generation from Secondary Li-Ion Batteries to Economical Na-Ion Batteries
R. Rajapriya and Milind Shrinivas Dangate
3.1 Introduction
3.2 Li-Ion Battery
3.3 Sodium-Ion Batteries
3.4 Conclusion
References
4. Hydrogen as a Fuel Cell
R. Rajapriya and Milind Shrinivas Dangate
4.1 Introduction
4.2 Operating Principle
4.2.1 Types of Fuel Cells
4.3 Why Hydrogen as a Fuel Cell?
4.3.1 Electrolyte
4.3.2 Catalyst Layer (At the Cathode & Anode)
4.3.3 Bipolar Plate (Cathode & Anode)
4.4 Hydrogen as an Energy-Vector in a Long-Term Fuel Cell
4.5 Application
4.6 Conclusion
References
5. IoT and Machine Learning–Based Energy-Efficient Smart Buildings
Aaron Biju, Gautum Subhash V.P., Menon Adarsh Sivadas, Thejus R. Krishnan, Abhijith R. Nair, Anantha Krishnan V. and O.V. Gnana Swathika
5.1 Introduction
5.2 Methodology
5.3 Design Specifications
5.3.1 NodeMCU
5.3.2 Relay
5.3.3 Firebase
5.3.4 Raspberry Pi
5.3.5 Camera
5.4 Results
5.5 Conclusion
References
6. IOT-Based Smart Metering
Parth Bhargav, Umar Ansari, Fahad Nishat and O.V. Gnana Swathika
Abbreviations and Nomenclature
6.1 Introduction
6.1.1 Motivation
6.1.2 Objectives
6.2 Methodology
6.2.1 Advent of Smart Meter
6.2.2 Modules
6.2.3 Energy Meter
6.2.4 Wi-Fi Module
6.2.5 Arduino UNO
6.2.6 Back End
6.3 Design of IOT-Based Smart Meter
6.3.1 Energy Meter
6.3.2 Arduino UNO
6.3.3 Wi-Fi Module
6.3.4 Calculations
6.3.5 Units
6.4 Results and Discussion
6.4.1 Working
6.4.2 Readings Captured in the Excel Sheet
6.4.3 Predication Using Statistical Analytics
6.4.4 Quantitative Analytics
6.4.5 Predication of Missing Data
6.4.6 Hardware Output
6.5 Conclusion
References
7. IoT-Based Home Automation and Power Consumption Analysis
K. Trinath Raja, Challa Ravi Teja, K. Madhu Priya and Berlin Hency V.
7.1 Introduction
7.2 Literature Review
7.3 IoT (Internet of Things)
7.4 Architecture
7.5 Software
7.5.1 IFTTT
7.5.2 ThingSpeak
7.5.3 Google Assistant
7.6 Hardware
7.6.1 DHT Sensor
7.6.2 Motor
7.6.3 NodeMCU
7.6.4 Gas Sensor
7.7 Implementation, Testing and Results
7.8 Conclusion
References
8. Advanced Technologies in Integrated Energy Systems
Maheedhar and Deepa T.
8.1 Introduction
8.2 Combined Heat and Power
8.2.1 Stirling Engines
8.2.2 Turbines
8.2.3 Fuel Cell
8.2.4 Chillers
8.2.5 PV/T System
8.3 Economic Aspects
8.4 Conclusion
References
9. A Study to Enhance the Alkaline Surfactant Polymer (ASP) Process Using Organic Base
M.J.A. Prince and Adhithiya Venkatachalapati Thulasiraman
9.1 Introduction
9.2 Materials and Methods
9.3 Similarity Study of NA in the Saline Water Containing Cations Having a Valency of 2
9.4 Results and Discussion
9.4.1 Alkalinity Contributed by NA for Intensifying the IFT Characteristics
9.4.2 Interfacial Tension Properties
9.4.3 The Similarity of NA + Polymer
9.4.4 Traits of Adsorption
9.4.5 Economics
9.4.6 Regular NA Injection Recommendation
9.5 Conclusions
References
10. Flexible Metamaterials for Energy Harvesting Applications
K.A. Karthigeyan, E. Manikandan, E. Papanasam and S. Radha
10.1 Introduction
10.2 Metamaterials
10.2.1 Energy Harvesting Using Metamaterials
10.2.2 Solar Energy Harvesting
10.2.2.1 Numerical Setup
10.2.3 Acoustic Energy Harvesting
10.2.4 RF Energy Harvesting
10.3 Summary and Challenges
References
11. Smart Robotic Arm
Rangit Ray, Koustav Das, Akash Adhikary, Akash Pandey, Ananthakrishnan V. and O.V. Gnana Swathika
Abbreviations and Nomenclature
11.1 Introduction
11.1.1 Motivation
11.1.2 Objectives
11.1.3 Scope of the Work
11.1.4 Organization
11.2 Design of Robotic Arm with a Bot
11.2.1 Design Approach
11.2.1.1 Codes and Standards
11.2.1.2 Realistic Constraints
11.2.2 Design Specifications
11.3 Project Demonstration
11.3.1 Introduction
11.3.2 Analytical Results
11.3.3 Simulation Results
11.3.4 Hardware Results
11.4 Conclusion
11.4.1 Cost Analysis
11.4.2 Scope of Work
11.4.3 Summary
References
12. Energy Technologies and Pricing Policies: Case Study
Shanmugha S. and Milind Shrinivas Dangate
12.1 Introduction
12.2 Literature Review
12.3 Non-Linear Pricing
12.4 Agricultural Water Demand
12.5 Priced Inputs and Unpriced Resources
12.6 Proposed Set Up on Paper
12.7 Empirical Model
12.8 Identification Strategy
12.9 Data
12.10 Empirical Results
12.11 Counterfactual Simulation A
12.12 Counterfactual Simulation B
12.13 Counterfactual Simulation: Costs of Reduced Groundwater Demand
12.14 Conclusion
References
13. Energy Availability and Resource Management: Case Study
Shanmugha S. and Milind Shrinivas Dangate
13.1 Introduction
13.2 Literature Review
13.3 Study Area
13.3.1 Producer Survey
13.4 Empirical Model of Adoption
13.5 Material and Methods
13.6 Results
13.7 Conclusion
References
14. Energy-Efficient Dough Rolling Machine
Nerella Venkata Sai Charan, Abhishek Antony Mathew, Adnan Ahamad Syed, Nallavelli Preetham Reddy, Anantha Krishnan V. and O.V. Gnana Swathika
14.1 Introduction
14.2 Methodology
14.3 Specifications
14.3.1 Motor
14.3.2 Switch Mode Power Supply (SMPS)
14.3.3 Speed Reduction
14.3.4 Coupler
14.3.5 Main Base Structure
14.3.6 Rotating Platform and Rollers
14.3.7 Rotating Platform
14.3.8 Rollers
14.4 Result and Discussion
14.5 Conclusion
References
15. Peak Load Management System Using Node-Red Software Considering Peak Load Analysis
Mohit Sharan, Prantika Das, Harsh Gupta, S. Angalaeswari, T. Deepa, P. Balamurugan and D. Subbulekshmi
15.1 Introduction
15.2 Methodology
15.2.1 Peak Demand and Load Profile
15.2.2 Need of Peak Load Management (PLM)
15.2.3 Data Analysis
15.2.4 Need to Flatten the Load Curve
15.2.5 Current Observations
15.2.6 Equations
15.3 Model Specifications
15.4 Features of UI Interface
15.4.1 App Prototype
15.5 Conclusions
Bibliography
16. An Overview on the Energy Economics Associated with the Energy Industry
Adhithiya Venkatachalapati Thulasiraman and M.J.A. Prince
16.1 Time Value of Money
16.1.1 Present Value of an Asset
16.1.2 Future Value of an Investment
16.1.3 Rule of 72
16.2 Classification of Cost
16.2.1 Fixed Cost of an Asset (FCA)
16.2.2 Variable Cost of a Plant (VCP)
16.2.3 Total Cost of a Plant (TCP)
16.2.4 Break-Even Location (BEL)
16.3 Economic Specification
16.3.1 Return on Cost (ROC)
16.3.2 Payback Span
16.3.3 Net Present Worth
16.3.4 Discounted Money Flow (DMF)
16.3.5 Internal Charge of Returns (ICR)
16.4 Analysis
16.4.1 Incremental Analysis (IA)
16.4.1.1 Pertinent Cost (PC)
16.4.1.2 Non-Pertinent Cost (NPC)
16.4.2 Sensitivity Analysis (SA)
16.4.3 Replacement Analysis (RA)
16.5 Conclusion
Bibliography
17. IoT-Based Unified Child Monitoring and Security System
A.R. Mirunalini, Shwetha. S., R. Priyanka and Berlin Hency V.
17.1 Introduction
17.2 Literature Review
17.3 Proposed System
17.3.1 Block Diagram
17.3.2 Design Approach
17.3.3 Software Analysis
17.3.4 Hardware Analysis
17.3.4.1 Experimental Setup
17.4 Result and Analysis
17.5 Conclusion and Future Enhancement
17.5.1 Conclusion and Inference
17.5.2 Future Enhancement
References
18. IoT-Based Plant Health Monitoring System Using CNN and Image Processing
Anindita Banerjee, Ekta Lal and Berlin Hency V.
18.1 Introduction
18.2 Literature Survey
18.3 Data Analysis
18.3.1 Convolutional Neural Network
18.3.2 Phases of the Model
18.3.3 Proposed Architecture
18.4 Proposed Methodology
18.4.1 System Module and Structure
18.4.2 System Design and Methods
18.4.3 Plant Disease Detection and Classification
18.4.3.1 Dataset Used
18.4.3.2 Preprocessing and Labelling Methods
18.4.3.3 Procedure of Augmentation
18.4.3.4 Training Using CNN
18.4.3.5 Analysis
18.4.3.6 Final Polishing of Results
18.4.4 Hardware and Software Instruments
18.5 Results and Discussion
18.6 Conclusion
References
19. IoT-Based Self-Checkout Stores Using Face Mask Detection
Shreya M., R. Nandita, Seshan Rajaraman and Berlin Hency V.
19.1 Introduction
19.2 Literature Review
19.2.1 Self-Checkout Stores
19.2.2 Face Mask Detection
19.3 Convolution Neural Network
19.4 Architecture
19.5 Hardware Requirements
19.5.1 PIR Sensor
19.5.2 LCD
19.5.3 Arduino UNO
19.5.4 Piezo Sensor
19.5.5 Potentiometer
19.5.6 LED
19.5.7 Raspberry Pi
19.6 Software
19.6.1 Jupyter Notebook
19.6.2 TinkerCAD
19.7 Implementation
19.7.1 Building and Training the Model
19.7.2 Testing The Model
19.8 Results and Discussions
19.9 Conclusion
References
20. IoT-Based Color Fault Detection Using TCS3200 in Textile Industry
T. Kalavathidevi, S. Umadevi, S. Ramesh, D. Renukadevi and S. Revathi
20.1 Introduction
20.2 Literature Survey
20.3 Methodology
20.3.1 Sensor
20.3.2 Microcontroller
20.3.3 NodeMCU and Wi-Fi Module
20.3.4 Servomotor
20.3.5 IoT-Based Data Monitoring
20.3.6 IR Sensor
20.3.7 Proximity Sensor
20.3.8 Blynk
20.4 Experimental Setup
20.5 Results and Discussion
20.6 Conclusion
References
21. Energy Management System For Smart Buildings
Shivangi Shukla, V. Jayashree Nivedhitha, Akshitha Shankar, P. Tejaswi and O.V. Gnana Swathika
21.1 Introduction
21.2 Literature Survey
21.3 Modules of the Project
21.3.1 Data Collection for Accurate Energy Prediction
21.3.2 ML Prediction
21.3.3 Web Server
21.3.4 Hardware Description and Implementation
21.4 Design of Smart Energy Management System
21.4.1 Design Approach
21.4.1.1 ML Algorithm
21.4.1.2 EMS Algorithm
21.4.2 Design Specifications
21.5 Result & Analysis
21.5.1 Introduction
21.5.2 ML Model Results
21.5.3 Web Page Results
21.5.4 Hardware Results
21.6 Conclusion
References
22. Mobile EV Charging Stations for Scalability of EV in the Indian Automobile Sector
Mohit Sharan, Ameesh K. Singh, Harsh Gupta, Apurv Malhotra, Muskan Karira, O.V. Gnana Swathika and Anantha Krishnan V.
22.1 Introduction
22.2 Methodology
22.2.1 Design Specifications
22.2.2 Block Diagrams
22.3 Result
22.4 Conclusions
Bibliography
About the Editors
Index

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