This book aims to provide practical aspects of, and an introduction to, the applications of various technological advancement tools, such as AI, machine learning to design, big data, cloud computing, and IoT, to model, characterize, optimize, forecast, and do performance prediction of renewable energy exploitation. It further discusses new avenues for energy sources such as hydrogen energy generation and energy storage technologies including existing policies and case studies for a better understanding of renewable energy generation.
Features:
- Covers technologies considered to explore, predict, and perform operation and maintenance of renewable energy sources.
- Aids in the design and use of renewable energy sources, including the application of artificial intelligence in a real-time environment.
- Includes IoT, cloud computing, big data, smart grid, and different optimization techniques for resource forecasting, installation, operation, and optimization of energy.
- Discusses the principle of integration/hybridization of renewable energy sources along with their optimization based on energy requirements.
- Reviews the concepts and challenges involved in the implementation of smart grids.
This book is aimed at researchers and graduate students in renewable energy engineering, computer and mechanical engineering, novel technologies, and intelligent systems.
Author(s): Gaurav Saini, Ramani Kannan, Ernesto Benini, Krishna Kumar
Publisher: CRC Press
Year: 2023
Language: English
Pages: 246
City: Boca Raton
Cover
Half Title
Title Page
Copyright Page
Table of Contents
Editors
Contributors
Preface
Chapter 1 Evolution of Sustainable Energy from Power Concrete Construction
1.1 Outline of Sustainable Energy
1.2 Fabrication Method
1.2.1 Composite Layer
1.2.2 Pre-Engineered Arrangements
1.3 Characteristics Assessment
1.3.1 Storage of Thermal Energy
1.3.2 Flow of Electricity from Sustainable Mode
1.3.3 Compressive Behavior
1.4 Conclusions
References
Chapter 2 Acetylene as a Sustainable Fuel for Diesel Engine: A Case Study
2.1 Introduction
2.1.1 Acetylene Production and Properties
2.1.2 Dual-FuelEngine
2.2 Performance Analysis
2.3 Fuel Injection Systems
2.4 Combustion Analysis
2.5 Emission Analysis
2.6 Conclusions
2.7 Future Scope
Abbreviations
References
Chapter 3 Investigation on Stand-Alone Solar Energy Conversion System with Artificial Intelligence Techniques
3.1 Introduction
3.2 Mathematical Modeling and Simulink Model
3.2.1 An Equivalent PV System Model
3.2.2 Artificial Neural Network-BasedMPPT for Solar PV System
3.2.3 Simulink Model
3.3 Simulation Results and Discussion
3.3.1 Simulation Result of Levenberg-Based ANN MPPT Controller at Irradiance Step Change from 1000–800 to 600–400 W/m[sup(2)] with Resistive Load
3.3.1.1 PV Array Results
3.3.1.2 Boost Converter Results
3.3.1.3 Inverter Results
3.3.1.4 Load Side Results
3.4 Conclusions and Future Scope
3.4.1 Conclusions
3.4.2 Future Scope
References
Chapter 4 Effective Efficiency Distribution Characteristics for Different Configurations of Arc and V-Shape Ribs in Solar Air Channels: A Comparative Study
4.1 Introduction
4.2 Performance Evaluation of Solar Air Channel
4.3 Effective Efficiency Evaluation
4.3.1 Mathematical Model
4.3.1.1 Program Initialization
4.3.1.2 Useful Heat Gain Assessment
4.3.1.3 Effective Efficiency Assessment
4.3.2 Mathematical Model Validation
4.4 Results and Discussion
4.4.1 Continuous Arc and V-Shape Ribs
4.4.2 Discrete Arc and V-Shape Ribs
4.4.3 Multiple Arc and V-Shape Ribs
4.4.4 Discrete Multiple Arc and V-Shape Ribs
4.4.5 Intercomparison
4.5 Conclusions
Nomenclature
Subscripts
References
Chapter 5 Lithium-Based Batteries Charged by Regenerative Braking Using Second Quadrant Chopper
5.1 Introduction
5.2 Designing and Working of the Converter
5.2.1 V[sub(o)]–I[sub(o)] Plane and Operation of Model
5.2.1.1 Mathematical Analysis
5.2.1.2 PWM Signal to MOSFET
5.2.1.3 Addition of Closed-Loop Subsystem
5.3 Simulation Results
5.4 Conclusions
References
Chapter 6 Modeling and Simulation of SoC-Based BMS for Stand-Alone Solar PV-Fed DC Microgrids
6.1 DC Microgrid Architecture
6.1.1 DC Home
6.1.2 Battery Energy Storage System (BESS)
6.1.3 Addressing Economic Constraints of a DC Microgrid
6.1.4 Analyzing the Optimization Problem in the Battery Storage System
6.2 Battery Management System (BMS)
6.2.1 BESS Charge/Discharge Control Scheme
6.2.2 Bidirectional Buck-Boost Converter
6.2.3 BESS Scheduling
6.3 DC Loads
6.4 Control Scheme of Power Electronic Converters
6.4.1 MPPT Buck Converter Control Scheme
6.4.2 Implementation of Bidirectional Converter
6.4.3 Control Strategy of the Bidirectional Converter during Charging/Discharging of Battery Pack
6.4.4 DC Bus Voltage Regulation Scheme
6.5 Simulation Results
6.5.1 Mode 1: DC Bus Fed from PV Array
6.5.2 Mode 2: DC Bus Fed from Battery Bank
6.5.3 Mode 3: DC Bus Fed Initially from PV and Then from Battery Bank
6.5.4 Mode 4: DC Bus Fed Initially from Battery Bank and Then from PV Array
6.5.5 Mode 5: DC Bus Fed Initially from Battery Bank with Dynamic Load
6.5.6 Mode 6: DC Bus Fed from PV Array with Dynamic Load
6.5.7 Mode 7: DC Bus Fed Initially from Battery Bank with Battery Scheduling
6.5.8 Mode 8: DC Bus Fed Initially from Battery Bank with Battery Management
6.6 Conclusions
References
Chapter 7 Blockchain and Smart Grid
7.1 Introduction
7.2 Blockchain
7.2.1 Blockchain Categories
7.2.2 Features of Blockchain (Zhenget al. 2017)
7.3 Smart Grid
7.4 Blockchain in Smart Grid
7.5 Blockchain Applications in Smart Grid
7.6 Challenges and Future of Blockchain and Smart Grid
7.7 Conclusions
References
Chapter 8 Renewable Energy Source Technology with Geo-Spatial-Based Intelligent Vision Sensing and Monitoring System for Solar Aerators in Fish Ponds
8.1 Introduction
8.2 Literature Review
8.2.1 International Status
8.2.2 National Status
8.3 Novelty of Proposed Work
8.4 Objectives
8.5 Methodology
8.6 Preprocessing
8.6.1 Edge Detection
8.6.2 Histogram Analysis
8.6.3 Extraction of Features
8.6.4 Classification
8.6.5 Circuitry for Hardware
8.7 Results and Discussion
8.7.1 Histogram Analysis
8.7.2 Extraction of Features
8.7.3 ANN-Based Classification
8.7.4 Summary
8.8 Conclusions and Future Scope
References
Chapter 9 IoT-Based Dam and Barrage Monitoring System
9.1 Introduction
9.1.1 Dam
9.1.2 Dam Break Analysis
9.2 Investigations on Dam and Barrage Monitoring
9.3 Circuit Configuration for Monitoring and Control of Dams/Barrages
9.4 Conclusions
References
Chapter 10 Complex Hydrides: Lightweight, High Gravimetric Hydrogen Storage Materials
10.1 Introduction
10.2 Hydrogen Storage in Complex Metal Hydrides
10.2.1 Metal Borohydride
10.2.2 Metal Aluminum Alanates
10.2.3 Amide/Imidesfor Hydrogen Storage Applications
10.2.3.1 Potential Hydrogen Storage Material: Li-N-H System
10.2.3.2 Li-Mg-N-H System
10.2.3.3 Destabilization of Li-Mg-N-H through the Addition of Metal Borohydrides
10.2.3.4 Different Approaches for Improving the Hydrogen Sorption Performance of 1:2 Mg(NH[sub(2)])[sub(2)]-LiH by the Employment of a Suitable Catalyst
10.2.4 Ammonia Borane for Hydrogen Storage
10.3 Conclusions
Acknowledgments
Note
References
Chapter 11 Assessing the Feasibility of Floating Photovoltaic Plant at Mukutmanipur in India
11.1 Introduction
11.2 Proposed Site Detail
11.2.1 Site Selection Criteria
11.2.2 Proposed Site Background
11.3 Feasibility of FPV Plant at the Proposed Site
11.4 Economic Feasibility
11.5 Conclusions
References
Chapter 12 Floating Photovoltaic Systems: An Emerging PV Technology
12.1 Introduction
12.2 Floating PV Status
12.3 FPV Systems Design and Structure
12.3.1 Design and Structure
12.4 FPV System’s Performance and Degradation Aspects
12.4.1 Performance Analysis
12.4.2 Degradation Analysis
12.5 Evaporation in FPV Systems
12.6 Floating PV Environmental Impacts
12.7 Conclusions
Acknowledgements
Abbreviations
References
Chapter 13 Waste Heat Recovery Technologies for Sustainability and Economic Growth in Developing Countries
13.1 Introduction
13.2 Waste Heat Resources and Potentials
13.2.1 Potential Waste Heat Recovery Techniques
13.2.1.1 Waste Heat-to-Power (WHP) Technologies
13.3 Waste Heat Recovery’s Economic and Environmental Benefits
13.3.1 Limits to Effective WHR System Deployment in Developing Countries
13.3.1.1 Technical Gremlins
13.3.1.2 Business Barriers
13.3.1.3 Policy, Legislative, and Regulatory Barriers
13.3.1.4 Possible Remedies to Sustainable Development and Effective Utilization of WHR Systems in Developing Countries
13.4 WHR Technologies for Sustainability and Economic Growth in Developing Economies
13.5 Conclusions
References
Index
