Image Processing in Renewable: Energy Resources Opportunities and Challenges
1st Edition
Published on 19. May 2003
155 pages
978-981-5036-99-2 (ISBN)
Description
This book is a compilation of innovative work on image processing applications for renewable energy systems. The chapters in the book describe the use of neural networks in multi-direction dynamic, topographical data frameworks which are designed to account for the distinctive contemporary issues faced when managing environmentally friendly power generation systems.
The topics covered include uncertainty analysis methods, computing technologies, automated control systems, performance analysis, riverfront analysis through image processing and solar power estimation methods, to name a few. The information is also complemented with a review of problems in the electric power sector in India.
This book is beneficial for professionals and researchers who work on hybrid techniques of GIS, remote sensing, image processing and the implementation of these techniques for utilizing renewable energy resources. Engineers who work on advanced algorithms for renewable energy applications will also get an updated perspective about relevant innovations in this industrial sector.
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Content
- Cover
- Title
- Copyright
- End User License Agreement
- Contents
- Preface
- List of Contributors
- Electrification Problem and Solution in India: A Review
- Shweta Goyal1,*
- 1. INTRODUCTION
- 1.1. Needs of Rural Electrification
- 2. ELECTRIFICATION IN THE INDIAN CONTEXT
- 3. RURAL ELECTRIFICATION OPTIONS
- 3.1. Grid Power Extension
- 3.2. Power Generation with Diesel Generation
- 3.3. Non-renewable Energy System
- 3.4 Renewable Energy System
- 4. SOLUTION
- 4.1. Hybrid Energy Systems
- 4.2. Integrated Energy System
- 4.3. Comparison Between Hybrid and Integrated Energy System
- 4.4. Characteristics of Hybrid Energy System
- 4.5. Component for Hybrid Energy System
- 4.5.1. Primary Sources
- 4.5.2. Secondary Resources
- 4.5.3. Battery System
- 4.5.4. Control Unit
- 4.5.5. Dump Load
- 5. DIFFERENT CONFIGURATIONS OF HRES
- 5.1. Series Hybrid Energy System
- 5.2. Alternate Hybrid Energy System
- 5.3. Parallel Hybrid Energy System
- CONCLUSION
- CONSENT FOR PUBLICATION
- CONFLICT OF INTEREST
- ACKNOWLEDGEMENTS
- REFERENCES
- Analysis of Renewable Generation Uncertainty for Planning and Operation
- Abhilasha Pawar1,*, R.K Viral1 and Anuprita Mishra2
- 1. INTRODUCTION
- 2. UNCERTAINTY EVALUATION AND PROCESS
- 2.1. Characterization of Uncertainties
- 2.2. Uncertainty Processing
- 2.3. Data Pre-processing
- 2.4. Model and Methods of Uncertainty Analysis
- 2.4.1. Probabilistic Method
- 2.4.2. Possibilistic Method
- 2.4.3. Hybrid Of Probabilistic And Possibilistic Method
- 2.4.4. Information Gap Decision Theory
- 2.4.5. Robust Optimization
- 2.4.6. Interval Analysis
- 3. PERFORMANCE COMPARISON OF VARIOUS METHODS
- 4. RECOMMENDATIONS
- CONCLUSION
- CONSENT FOR PUBLICATION
- CONFLICT OF INTEREST
- ACKNOWLEDGEMENTS
- REFERENCES
- Computing Technologies for Renewable Energy Sources Integration
- Alpesh M. Patel1,* and Sunil Kumar Singal2
- 1. INTRODUCTION
- 1.1. Single RE Source-based System
- 1.2. Integrated Energy System
- 2. LAYOUT AND CONFIGURATIONS OF INTEGRATED RENEWABLE ENERGY SYSTEM
- 2.1. DC Bus Configuration
- 2.2. AC Bus Configuration
- 2.3. Hybrid DC-AC Bus Configuration
- 3. COMPUTING TECHNOLOGIES
- 3.1. Graphical Construction Method
- 3.2. Probabilistic Method
- 3.3. Analytical Method
- 3.4. Iterative Method
- 3.5. Artificial Intelligence Method
- CONCLUSION
- CONSENT FOR PUBLICATION
- CONFLICT OF INTEREST
- ACKNOWLEDGEMENTS
- REFERENCES
- Automatic Generation Control using Whale Optimization Algorithm tuned PID Controller
- Shamik Chatterjee1,*, Md. Ariful Islam1, Mwango Keith Chileshe1 and Ahmed Abdellatif Ibrahim Osman1
- 1. INTRODUCTION
- 2. AGC MODEL
- 3. PID CONTROLLER
- 4. PROBLEM FORMULATION
- 5. WHALE OPTIMIZATION ALGORITHM
- 6. RESULT AND DISCUSSION
- 7. CONCLUSION
- APPENDIX
- CONSENT FOR PUBLICATION
- CONFLICT OF INTEREST
- ACKNOWLEDGEMENTS
- REFERENCES
- Performance Analysis of ALFC and AVR Systems using PID Controller
- Shamik Chatterjee1,*, Ahmad Shabir Seddiqi1, Ahmad Seyar Sediqi1, Azzam Saleh Ali1 and Hasan Ghareb1
- 1. INTRODUCTION
- 2. AUTOMATIC LOAD FREQUENCY CONTROL
- 2.1. Designing of Automatic Load Frequency Control
- 2.1.1. Model of Alternator
- 2.1.2. Load Model
- 2.1.3. Model of Prime Mover
- 2.1.4. Model of Governor
- 2.1.5. ALFC's Compressed Design
- 3. AUTOMATIC VOLTAGE REGULATOR
- 3.1. Design of the Automatic Voltage Regulator
- 3.1.1. Model of Amplifier [3]
- 3.1.2. Model of Exciter [3]
- 3.1.3. Model of Generator [3]
- 3.1.4. Model of Sensor [3]
- 4. COMBINATION OF ALFC AND AVR LOOP
- 5. RESULT AND DISCUSSION
- 5.1. System of Automatic Load Frequency Control
- 5.2. Automatic Voltage Regulator System
- 6. CONCLUSION
- CONFLICT OF INTEREST
- CONSENT FOR PUBLICATION
- ACKNOWLEDGMENTS
- REFERENCES
- Image Processing For Estimating Sustainability of Riverfronts: A Case-Study of Sabarmati Riverfront
- Dhruv Aditya Jain1, Sunil Kumar Singal1 and Pratham Arora1,*
- 1. INTRODUCTION
- 1.1. General
- 2. STUDY AREA
- 3. COMPREHENSIVE INDEX OF PUBLIC ACCESSIBILITY OF RIVERFRONT (CIPAR)
- 4. METHODOLOGY
- 4.1. Data Collection
- 4.1.1. Data Collection for Spatial Accessibility
- 4.1.2. Data Collection for Visual Accessibility
- 4.1.3. Data Collection for Corridor Continuity
- 4.1.4. Data Collection for Indicating amenity
- 5. RESULT & DISCUSSION
- CONCLUSION AND RECOMMENDATIONS
- CONSENT FOR PUBLICATION
- CONFLICT OF INTEREST
- ACKNOWLEDGEMENTS
- REFERENCES
- Estimation of Solar Energy to be Produced in Changing Land Use of Bina River Basin, Madhya Pradesh
- Gaurav Singh1, Nitin Mishra1, Sachin Mishra*, 2 and Prabhu Natarajan3
- 1. INTRODUCTION
- 2. STUDY AREA
- 2.1. Land Use Classification
- 3. RESULTS AND DISCUSSION
- CONCLUSION
- CONSENT FOR PUBLICATION
- CONFLICT OF INTEREST
- ACKNOWLEDGEMENTS
- REFERENCES
- Thermal Analysis of Solar Panel with Proposed Cost-effective Solution to Increase Efficiency
- Saket Kumar1, Sachin Mishra2,* and Sandeep Singh Sengar3
- 1. INTRODUCTION
- 2. LITERATURE REVIEW
- 3. THE METHODOLOGY ADOPTED FOR THERMAL ANALYSIS
- 3.1. Thermal Analysis of Solar Panel
- 3.2. Algorithm Adopted
- 4. THE DEVICE PROPOSED FOR THE COOLING OF SOLAR PANEL
- 4.1. Description of Device
- 4.2. Flow Chart of the Device Controller
- 5. RECOMMENDATIONS
- CONCLUSION
- CONSENT FOR PUBLICATION
- CONFLICT OF INTEREST
- ACKNOWLEDGMENTS
- REFERENCES
- Subject Index
- Back Cover
